ci(deps): bump actions/stale from 9 to 10

Bumps [actions/stale](https://github.com/actions/stale) from 9 to 10.
- [Release notes](https://github.com/actions/stale/releases)
- [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/stale/compare/v9...v10)

---
updated-dependencies:
- dependency-name: actions/stale
  dependency-version: '10'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/discord-release.yml

@@ -3,6 +3,7 @@ name: Discord Release Notification
 on:
   release:
     types: [published]
+  workflow_dispatch:
 
 jobs:
   discord-notification:

.github/workflows/release.yml

@@ -620,7 +620,7 @@ jobs:
           draft: false
           prerelease: ${{ contains(github.ref, 'beta') || contains(github.ref, 'alpha') }}
         env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || secrets.GITHUB_TOKEN }}
 
   # Update README with new version after successful release
   update-readme:

.github/workflows/stale.yml

@@ -11,7 +11,7 @@ jobs:
     permissions:
       issues: write
     steps:
-      - uses: actions/stale@v9
+      - uses: actions/stale@v10
         with:
           stale-issue-message: |
             This issue has been inactive for 60 days. It will be closed in 14 days if there's no activity.

2025-02-16-github-issues-documentation-design.md

@@ -1,240 +0,0 @@
-# GitHub Issues Documentation Design
-
-**Date:** 2025-02-16
-**Status:** Approved
-**Author:** Claude (Superpowers Brainstorming)
-
-## Overview
-
-Create comprehensive, user-friendly documentation for Auto Claude's GitHub Issues integration. The documentation will serve a mixed audience (new and existing users) with progressive depth across three documents.
-
-## Target Audience
-
-**Mixed audience with progressive depth:**
-- **End users** - New to Auto Claude, want to understand features and get started quickly
-- **Technical users** - Existing users wanting to optimize AI configuration and manage costs
-- **Pro users/developers** - Want to customize prompts, context injection, and extend the system
-
-## Document Structure
-
-### New Directory: `guides/github-issues/`
-
-```
-guides/
-└── github-issues/
-    ├── README.md                                    # Navigation index
-    ├── github-issues-user-guide.md                  # Document 1
-    ├── github-issues-advanced-ai-configuration.md   # Document 2
-    └── github-issues-customization-guide.md         # Document 3
-```
-
-### Document 1: User Guide
-
-**Audience:** End users (non-technical)
-**Focus:** Features, workflows, getting started
-
-**Sections:**
-1. **Overview** - What is GitHub Issues integration? Why use it?
-2. **Quick Start (5 minutes)** - Get your first issue investigated end-to-end
-3. **Key Features** - Bullet points of main capabilities
-4. **Integration Workflow** - Import → Investigate → Create Task → Implement (EMPHASIS)
-5. **Setup & Configuration** - GitHub authentication, connecting repos
-6. **Using the Features**
-   - Importing & browsing issues
-   - Running AI investigations
-   - Creating tasks from results
-   - Posting findings back to GitHub
-7. **FAQ** - Common questions
-
-**Tone:** Friendly, encouraging, approachable. Plain English with minimal jargon.
-
-### Document 2: Advanced AI Configuration
-
-**Audience:** Technical users, team leads
-**Focus:** AI tuning, performance, cost management
-
-**Sections:**
-1. **Overview** - Who this guide is for
-2. **Opus 4.6 Features** - Fast Mode, 128K tokens, adaptive thinking
-3. **The 4 Specialist Agents** - Deep dive into each agent's role
-4. **Pricing & Cost Management** - Token limits, cost optimization strategies
-5. **Advanced Configuration** - Per-specialist settings, performance tuning
-6. **Technical Architecture** - How investigation works under the hood
-
-**Tone:** Professional, technical but clear. Explains technical concepts in context.
-
-### Document 3: Customization Guide
-
-**Audience:** Developers, pro users extending Auto Claude
-**Focus:** System customization, prompts, context injection
-
-**Sections:**
-1. **Overview** - Who this is for (developers extending Auto Claude)
-2. **Prompt System Architecture** - How agent prompts are structured
-3. **Context Injection System** - How context is built and passed to agents
-4. **Customizing Agent Prompts** - Modifying XML prompt files
-   - Finding the prompt files
-   - Prompt structure and variables
-   - Creating custom investigation specialists
-5. **Context Configuration** - Customizing what data is included
-   - File selection patterns
-   - Context window management
-   - Repository context settings
-6. **Adding Custom Specialists** - Creating new investigation agents
-7. **Extending the Integration** - Hooks, custom providers
-8. **Examples & Recipes** - Common customizations
-
-**Tone:** Developer-to-developer, technical, code-heavy, minimal hand-holding.
-
-## Content Approach
-
-### Progressive Disclosure
-- Each document builds on the previous one
-- Clear navigation links between documents
-- Users can enter at their appropriate level
-
-### Writing Style Guidelines
-
-| Document | Tone | Language | Example Style |
-|----------|------|----------|---------------|
-| User Guide | Friendly, encouraging | Plain English | "Think of AI investigation as having a senior developer analyze the issue for you" |
-| Advanced Config | Professional, technical | Terms explained in context | "Fast Mode uses optimized token generation to reduce investigation time by 2.5x" |
-| Customization | Developer-to-developer | Technical, code-heavy | "Modify the `<system_context>` variable in `prompts/github/root_cause.xml`" |
-
-### Code & Configuration Examples
-- **Doc 1:** Simple copy-paste examples, UI navigation
-- **Doc 2:** Configuration snippets, environment variables
-- **Doc 3:** Full XML/Python examples, file paths, code blocks
-
-## Visual Elements
-
-### Screenshots (Hybrid Approach)
-
-**User Guide:**
-1. GitHub Issues main UI (issue list, filters, actions)
-2. Issue detail view (comments, labels, "Investigate" button)
-3. Investigation in progress (4 parallel specialists)
-4. Investigation results (completed report)
-5. Settings screen (GitHub auth, repo connection, Fast Mode toggle)
-
-**Advanced AI Config:**
-1. Settings → AI Investigation panel (configurable options)
-2. Token usage display (cost visibility)
-3. Investigation pipeline flowchart (issue → 4 specialists → report)
-
-**Customization Guide:**
-1. Directory structure diagram (prompt file locations)
-2. Annotated XML prompt file (variables and structure)
-3. Context injection flow diagram
-4. Code snippets throughout
-
-### Diagram Style
-- Clean, simple flowcharts
-- Consistent color scheme: Blue (user actions), Green (AI agents), Orange (data flow)
-- Minimal text, focus on flow and relationships
-
-## Navigation & Cross-References
-
-### Linking Strategy
-
-**User Guide → Deeper:**
-- "For detailed configuration, see [Advanced AI Configuration]"
-- "Learn how the 4 specialists work in [Advanced AI Configuration]"
-- "Want to customize agent behavior? See [Customization Guide]"
-
-**Advanced AI Config → Both Directions:**
-- "New to GitHub Issues? Start with the [User Guide]"
-- "Want to modify agent prompts? See [Customization Guide]"
-
-**Customization Guide → Reference:**
-- "Assumes familiarity with concepts from [User Guide] and [Advanced AI Config]"
-
-### Navigation Aids
-- Table of Contents at the top of each document
-- "In this section" callouts at the start of major sections
-- "Next steps" boxes at the end of each workflow section
-
-### External References
-- `guides/opus-4.6-features.md` - Opus 4.6 details (don't duplicate)
-- `ARCHITECTURE.md` - System architecture
-- GitHub CLI docs - Authentication setup
-
-## Key Emphasis
-
-**Integration Workflow** is the primary focus across all documents:
-
-> **Import Issues** → **AI Investigation** → **Create Task** → **Implement** → **Merge**
-
-This pipeline demonstrates the core value of Auto Claude - connecting GitHub issues to autonomous development.
-
-## File Organization
-
-### Naming Convention
-- Lowercase with hyphens (matches existing documentation style)
-- Descriptive names indicating audience and content
-- Keep under 80 characters for GitHub rendering
-
-### README.md (Index Page)
-
-```markdown
-# GitHub Issues Documentation
-
-Choose the guide that matches your needs:
-
-📖 **[User Guide](github-issues-user-guide.md)** - Get started with GitHub Issues integration
-  For: All users | Focus: Using the features
-
-⚙️ **[Advanced AI Configuration](github-issues-advanced-ai-configuration.md)** - Optimize AI investigations
-  For: Technical users | Focus: Performance, costs, Opus 4.6
-
-🔧 **[Customization Guide](github-issues-customization-guide.md)** - Extend and customize the system
-  For: Developers | Focus: Prompts, context, customization
-```
-
-## Markdown Format Guidelines
-
-- Standard GitHub-flavored markdown
-- H1 for title, H2 for main sections, H3 for subsections
-- Code blocks with language specification (`xml`, `python`, `bash`)
-- Callout boxes using `> **Note:**` format
-- Internal links use relative paths
-- Front matter with title and description metadata
-
-## Implementation Notes
-
-### Content Sources
-- `apps/frontend/src/renderer/components/github-issues/` - UI components
-- `apps/frontend/src/main/ipc-handlers/github/` - IPC handlers
-- `apps/backend/runners/github/` - Backend services
-- `guides/opus-4.6-features.md` - Reference for Opus 4.6 details
-- Existing code comments and docstrings
-
-### Screenshots to Capture
-- Need to run the application in development mode (`npm run dev`)
-- Capture each UI state listed in Visual Elements section
-- Save to `guides/github-issues/images/` with descriptive names
-
-### Diagram Creation
-- Use Mermaid syntax for flowcharts (if supported by docs build)
-- Alternatively, describe for manual creation with diagram tools
-
-## Success Criteria
-
-1. ✅ All three documents created in `guides/github-issues/`
-2. ✅ README.md index page created
-3. ✅ Progressive structure allows users to enter at appropriate level
-4. ✅ Integration workflow is clear and emphasized
-5. ✅ Screenshots included for key UI states
-6. ✅ Cross-references enable navigation between documents
-7. ✅ Writing style matches target audience for each document
-8. ✅ Content is accurate based on actual codebase features
-
-## Next Steps
-
-1. Create implementation plan using writing-plans skill
-2. Set up directory structure
-3. Draft content for each document
-4. Capture screenshots
-5. Create diagrams
-6. Review and refine
-7. Commit to repository

CHANGELOG.md

@@ -1,3 +1,234 @@
+## 2.7.6 - Stability & Feature Enhancements
+
+### ✨ New Features
+
+- **Multi-profile account management** — Unified profile swapping with automatic token refresh and rate limit recovery for both OAuth and API-compatible providers
+
+- **Enhanced terminal experience** — Customizable terminal fonts with OS-specific defaults, Claude Code CLI settings injection, and improved worktree integration
+
+- **Advanced roadmap management** — Expand/collapse functionality for phase features and real-time sync with task lifecycle
+
+- **Queue System v2** — Smart task prioritization with auto-promotion and intelligent rate limit recovery
+
+- **GitHub integration enhancements** — AI-powered PR template generation, user-friendly API error handling, and improved review visibility
+
+- **UI/UX improvements** — Spell check support for text inputs, collapsible sidebar toggle, task screenshot capture, expandable task descriptions, and bulk worktree operations
+
+- **Evidence-based PR validation** — Advanced review system with trigger-driven exploration and enhanced recovery mechanisms
+
+### 🛠️ Improvements
+
+- **Performance optimizations** — Async parallel worktree listing prevents UI freezes and improves responsiveness
+
+- **Robustness enhancements** — Atomic file writes, better error detection in AI responses, and improved OOM/orphaned agent management for overnight builds
+
+- **Terminal stability** — Fixed GPU context exhaustion from large pastes, SIGABRT crashes on macOS shutdown, and session restoration on app restart
+
+- **Build & packaging** — XState bundling for packaged apps, aligned Linux package builds, and improved auto-updater for beta releases and DMG installations
+
+- **Diagnostic improvements** — Sentry instrumentation for Python subprocesses and better error tracking across the system
+
+### 🐛 Bug Fixes
+
+- **Terminal & PTY** — Fixed paste size limits, race conditions, rendering issues, text alignment, worktree crashes, and terminal content resizing on expansion
+
+- **PR review system** — Resolved error visibility in bundled apps, improved structured output validation with three-tier recovery, preserved findings during crashes, and fixed UTC timestamp detection for comment tracking
+
+- **Planning & task execution** — Fixed handling of empty/greenfield projects, atomic writes to prevent 0-byte file corruption, planning phase crashes, and implementation plan file watching
+
+- **Authentication & profiles** — Resolved OAuth token revocation loops, API profile mode support without OAuth requirement, subscription type preservation during token refresh, and Linux credential file detection
+
+- **Windows/cross-platform** — Complete System32 executable path fixes for where.exe and taskkill.exe, Windows credential normalization, and proper shell detection for Windows terminals
+
+- **Agent management** — Fixed infinite retry loops for tool concurrency errors, auth error detection, and title generator production path resolution
+
+- **UI/UX fixes** — Resolved Insights scroll-to-blank-space issues, infinite re-render loops in terminal font settings, kanban board scaling collisions, ideation stuck states, and panel constraint errors during terminal exit
+
+- **Worktree & Git** — Improved branch pattern validation, removed auto-commit on deletion, support for detached HEAD state during PR creation, and better merge conflict resolution with progress tracking
+
+- **Integrations** — Fixed Ollama infinite subprocess spawning, Graphiti import paths, OpenRouter API URL suffix, and GitLab authentication bugs
+
+- **Settings & configuration** — Corrected .auto-claude path discovery timeout, z.AI China preset URL, log order sorting, and onboarding completion state persistence
+
+### 📚 Documentation
+
+- Added Awesome Claude Code badge to README
+
+- Added instructions for resetting PR review state in CLAUDE.md
+
+---
+
+## What's Changed
+
+- fix: handle unknown SDK message types (rate_limit_event) to prevent session crashes by @AndyMik90 in 4a75ea9f9
+- fix: PR review error visibility and gh CLI resolution in bundled apps by @AndyMik90 in 732fc1cd3
+- fix: handle empty/greenfield projects in spec creation (#1426) (#1841) by @Andy in 819f98d9f
+- fix: clear terminalEventSeen on task restart to prevent stuck-after-planning (#1828) (#1840) by @Andy in 28a620079
+- fix: watch worktree path for implementation_plan.json changes (#1805) (#1842) by @Andy in fb3a3fbda
+- fix: resolve Claude CLI not found on Windows - PATH, prompt size, cwd (#1661) (#1843) by @Andy in 76d1d3b03
+- fix: handle planning phase crash and resume recovery (#1562) (#1844) by @Andy in 3cb05781f
+- fix: show dismissed PR review findings in UI instead of silently dropping them (#1852) by @Andy in d98ff7d19
+- fix: preserve file/line info in PR review extraction recovery (#1857) by @Andy in 635b53eea
+- docs: add Awesome Claude Code badge to README (#1838) by @Andy in 2e4b5ac65
+- test: achieve 100% test coverage for backend CLI commands (#1772) by @StillKnotKnown in 385f04414
+- fix: cap terminal paste size to 1MB to prevent GPU context exhaustion by @AndyMik90 in 7b0f3a2c0
+- fix: prevent OOM, orphaned agents, and unbounded growth during overnight builds (#1813) by @Andy in 4091d1d4b
+- docs: add instructions for resetting PR review state in CLAUDE.md by @AndyMik90 in ecb615802
+- auto-claude: 217-investigate-symlink-issues-in-work-tree-creation-f (#1808) by @Andy in ae13ce14c
+- auto-claude: 218-enable-claude-code-features-in-worktree-terminals (#1809) by @Andy in e3b219288
+- auto-claude: 219-investigate-and-fix-authentication-subscription-sy (#1810) by @Andy in 6204d5fc2
+- feat(roadmap): add expand/collapse functionality for phase features (#1796) by @Burak in f735f0b49
+- auto-claude: 216-display-ongoing-pr-review-logs-in-progress (#1807) by @Andy in a4870fa0c
+- fix(pr-review): reduce structured output failures and preserve findings in recovery (#1806) by @Andy in f1b8cd3a7
+- fix(sentry): enable Sentry for Python subprocesses and add diagnostic instrumentation (#1804) by @Andy in 4d4234378
+- fix(pr-review): add three-tier recovery for structured output validation failure (#1797) by @Andy in d1fbccde3
+- test: improve backend agent test coverage to 94% (#1779) by @StillKnotKnown in ed93df698
+- fix(github): use UTC timestamps for reviewed_at to fix comment detection (#1795) by @Andy in 8872d33e3
+- feat: add user-friendly GitHub API error handling (#1790) by @StillKnotKnown in 8ece0009e
+- fix(roadmap): sync roadmap features with task lifecycle (#1791) by @Andy in 115576e85
+- fix(github): resolve PR review hanging in bundled app (#1793) by @Andy in 3791b37bb
+- feat(profiles): implement unified profile swapping across OAuth and API accounts (#1794) by @StillKnotKnown in 282387356
+- test: improve backend memory system test coverage to 100% (#1780) by @StillKnotKnown in 4f1b7b2a9
+- fix(ideation): guard against non-string properties in IdeaCard badges by @AndyMik90 in 5e78d748e
+- fix(updater): convert HTML release notes to markdown before rendering by @AndyMik90 in aa5fc7f95
+- fix(pr-review): simplify structured output schema to reduce validation failures (#1787) by @Andy in cd8914700
+- fix(qa): enforce visual verification for UI changes and inject startup commands (#1784) by @Andy in f149a7fbd
+- fix(plan-files): use atomic writes to prevent 0-byte corruption (#1785) by @Andy in c2245b812
+- fix(terminal): make worktree dropdown scrollable and show all items by @AndyMik90 in 950da45e4
+- auto-claude: subtask-1-1 - Add adaptive thinking badge to thinking level label (#1782) by @Andy in 25acf2826
+- auto-claude: subtask-1-1 - Add overflow-hidden and break-words to subtask cards by @AndyMik90 in 39aa08872
+- refactor(app-updater): disable automatic downloads and allow intentional downgrades by @AndyMik90 in 8de8039db
+- fix(auth): detect auth errors in AI response text and prevent retry loops (#1776) by @Andy in f4788e4af
+- test: achieve 100% coverage for backend core workspace module (#1774) by @StillKnotKnown in 3f95765cf
+- fix(title-generator): add production path resolution for backend source (#1778) by @Andy in 923880f5b
+- fix(fast-mode): use setting_sources instead of env var for CLI fast mode (#1771) by @Andy in 390ba6a58
+- fix(windows): complete System32 executable path fixes for where.exe and taskkill.exe (#1715) by @VDT-91 in aa7f56e5d
+- fix(worktree): remove auto-commit on deletion and add uncommitted changes warning by @AndyMik90 in cec8e65ee
+- Smart PR Status Polling System (#1766) by @Andy in 48d5f7a32
+- feat: simplify thinking system and remove opus-1m model variant (#1760) by @Andy in bb7e18937
+- auto-claude: 203-fix-pr-review-ui-update-issue (#1732) by @Andy in 7589f8e4f
+- auto-claude: subtask-2-1 - Create isAPIProfileAuthenticated() function to val (#1745) by @Andy in 57e38a692
+- auto-claude: 202-fix-kanban-board-scaling-collisions (#1731) by @Andy in d09ebb850
+- auto-claude: 204-fix-pr-review-ui-not-updating-without-manual-navig (#1734) by @Andy in 087091cef
+- auto-claude: 203-fix-ui-not-updating-during-pr-review-operations (#1733) by @Andy in f085c08bd
+- auto-claude: 205-fix-insights-chat-only-shows-last-task-suggestion- (#1735) by @Andy in f121f9cdd
+- auto-claude: 197-roadmap-generation-stuck-at-50-file-locking-race-c (#1746) by @Andy in f41f15e59
+- auto-claude: 193-fix-update-context7-mcp-tool-name-from-get-library (#1744) by @Andy in bdff9141a
+- auto-claude: 192-changelog-generation-multiple-critical-bugs-tasks- (#1725) by @Andy in 8c9a504df
+- auto-claude: 194-bug-rate-limit-during-task-execution-causes-subtas (#1726) by @Andy in 8a7443d24
+- auto-claude: 201-bug-pr-review-logs-and-analysis (#1730) by @Andy in e0d53adb4
+- auto-claude: 196-fix-worktrees-dialog-auto-close-race-condition-and (#1727) by @Andy in 323b0d3be
+- auto-claude: 199-bug-logs-disappear-after-restart (#1728) by @Andy in d639f6ef8
+- auto-claude: 198-critical-oauth-token-revocation-causes-infinite-40 (#1747) by @Andy in 4438c0b10
+- Fix Panel Constraints Error During Terminal Exit (#1757) by @Andy in 32bf353da
+- auto-claude: 190-bug-context-page-crash-multiple-root-causes-when-v (#1724) by @Andy in 2db36982f
+- feat: add search/filter to WorktreeSelector dropdown (#1754) by @Andy in 09f059ca3
+- fix(terminal): push worktree branch to remote with tracking on creation (#1753) by @Andy in b5de0d9ff
+- auto-claude: 189-subtask-execution-stuck-in-infinite-retry-loop-whe (#1723) by @Andy in 445da186c
+- auto-claude: 188-terminal-claude-sessions-require-manual-click-to-r (#1743) by @Andy in f8499e965
+- auto-claude: 200-bug-changelog-and-release-generation (#1729) by @Andy in 826583b82
+- fix(terminal): use each terminal's cwd for invoke Claude all button (#1756) by @Andy in ac4fe4f42
+- feat(terminal): read Claude Code CLI settings and inject env vars into PTY sessions (#1750) by @Andy in 152e54093
+- fix: correct .auto-claude path mismatch causing discovery phase timeout (#1748) by @VDT-91 in 2c2a8a754
+- fix: remove incorrect /v1 suffix from OpenRouter API URL (#1749) by @StillKnotKnown in 7e799ee57
+- fix: prevent terminal worktree crash with race condition fixes (#1586) (#1658) by @VDT-91 in 216b58bcf
+- fix: correct log order sorting and add configurable log order setting (#1720) by @Burak in 2e2b82365
+- fix(ollama): stop infinite subprocess spawning from useEffect re-render loop (#1716) by @Quentin Veys in acb131b72
+- fix(graphiti): migrate graphiti_memory imports to canonical paths (#1714) by @Quentin Veys in df528f065
+- fix: improve auto-updater for beta releases and DMG installs (#1681) by @Andy in ff91a1af0
+- feat: unified operation registry for intelligent auth/rate limit recovery (#1698) by @Andy in 6d0222fa9
+- fix: Prevent stale worktree data from overriding correct task status (#1710) by @Burak in fe08c644c
+- feat: add subscriptionType and rateLimitTier to ClaudeProfile (#1688) by @Andy in a5e3cc9a2
+- auto-claude: subtask-1-1 - Add useTaskStore import and update task state after successful PR creation (#1683) by @Andy in 4587162e4
+- auto-claude: 182-implement-pagination-and-filtering-for-github-pr-l (#1654) by @Andy in b4e6b2fe4
+- auto-claude: 181-add-expand-button-for-long-task-descriptions (#1653) by @Andy in d9cd300fe
+- fix(terminal): resolve text alignment issues on expand/minimize (#1650) by @VDT-91 in f5a7e26d9
+- fix(windows): use full path to where.exe for reliable executable lookup (#1659) by @VDT-91 in 5f63daa3c
+- fix: resolve ideation stuck at 3/6 types bug (#1660) by @VDT-91 in e6e8da17c
+- Clarify Local and Origin Branch Distinction (#1652) by @Andy in 9317148b6
+- auto-claude: 186-set-default-dark-mode-on-startup (#1656) by @Andy in 473020621
+- auto-claude: subtask-1-1 - Add min-h-0 to enable scrolling in Roadmap tabs (#1655) by @Andy in ae703be9f
+- fix: XState status lifecycle & cross-project contamination fixes (#1647) by @kaigler in 5293fb399
+- refactor(frontend): complete XState task state machine migration (#1338) (#1575) by @kaigler in e2f9abadb
+- Merge conflict resolution progress bar and log viewer (#1620) by @Andy in d16be3077
+- fix: align Linux package builds (AppImage/deb/Flatpak) with target-specific extraResources (#1623) by @StillKnotKnown in bad1a9b2c
+- Fix/gitlab bugs (#1519 and #1521) (#1544) by @bu5hm4nn in cd423c65c
+- feat(kanban): add bulk task delete and worktree cleanup improvements (#1588) by @kaigler in 02ed91c91
+- fix: add worktree isolation warning to prevent agent escape (#1528) by @kaigler in fe5cc582b
+- feat(ui): add spell check support for text inputs (#1304) by @kaigler in 8f02a5129
+- fix(windows): complete Windows credential fixes with path normalization (#1585) by @kaigler in 1e1997167
+- AI-Powered GitHub PR Template Generation (#1618) by @Andy in 900dd4360
+- Fix pty.node SIGABRT crash on macOS shutdown (#1619) by @Andy in f355e09d7
+- fix(merge): use git merge for diverged branches with progress tracking (#1605) by @Andy in bde2ca4b2
+- Surface Billing/Credit Exhaustion Errors to UI (Issue #1580) (#1617) by @Andy in 7bf12e856
+- auto-claude: subtask-1-1 - Change $teamId type from ID! to String! in the team query (#1627) by @Andy in 54d0cd2f4
+- fix(auth): support API profile mode without OAuth requirement (#1616) by @StillKnotKnown in f8cc63af4
+- fix: agent retry loop for tool concurrency errors (#1546) [v3] (#1606) by @Michael Ludlow in 0aea4fb5e
+- fix(queue): enforce max parallel tasks and auto-refresh UI (#1594) by @Andy in 4070a4c29
+- Persist Kanban column collapse state per project via main process (#1579) by @Andy in a1114664e
+- feat(pr-review): evidence-based validation and trigger-driven exploration (#1593) by @Andy in bfc232825
+- fix(ui): smart auto-scroll for Insights streaming responses (#1591) by @kaigler in eee97e7ea
+- fix(changelog): validate Claude CLI exists before generation (#1305) by @kaigler in c1f24c07f
+- auto-claude: subtask-1-1 - Add min-w-0 class to subtask title row flex container (#1578) by @Andy in 286591c02
+- auto-claude: subtask-1-1 - Remove Popover wrapper and related functionality from ClaudeCodeStatusBadge (#1566) by @Andy in 8d18cc81a
+- fix(claude-profile): preserve subscriptionType and rateLimitTier during token refresh (#1556) by @Andy in 52e426a48
+- auto-claude: subtask-1-1 - Update cancelReview callback to handle both success and failure cases (#1551) by @Andy in d8f00fe5a
+- fix(backend): prioritize git remote detection over env var for repo (#1555) by @Andy in 9b07ed464
+- fix(backend): handle detached HEAD state when pushing branch for PR creation (#1560) by @Andy in 2b72694d0
+- fix: add explicit UTF-8 encoding across all Electron main process I/O (#1554) by @Andy in 4243530e9
+- fix(backend): pass OAuth token to Python subprocess for authentication by @AndyMik90 in 6f1002dd7
+- perf(frontend): async parallel worktree listing to prevent UI freezes (#1553) by @Andy in 399a7e736
+- auto-claude: subtask-1-1 - Remove amber lock indicator line from kanban resize handle (#1557) by @Andy in 83a64b88e
+- fix(frontend): resolve TerminalFontSettings infinite re-render loop (#1536) by @StillKnotKnown in 1c6266025
+- fix(frontend): respect hasCompletedOnboarding from ~/.claude.json (#1537) by @StillKnotKnown in 1860c2c43
+- fix: prevent planner from generating invalid verification types (#1388) (#1529) by @kaigler in 94d941333
+- fix(frontend): resolve Insights scroll-to-blank-space issue on macOS (ACS-382) (#1535) by @StillKnotKnown in 496b2b96a
+- feat: add customizable terminal fonts with OS-specific defaults (#1412) by @StillKnotKnown in f289107b8
+- Add dev mode screenshot capture warning (#1516) by @Andy in 16eeb301a
+- fix: add worktree isolation warnings to prevent agent escape (ACS-394) (#1495) by @StillKnotKnown in 1e453653b
+- fix: resolve flaky subprocess-spawn test on Windows CI (ACS-392) (#1494) by @StillKnotKnown in f6b264d56
+- feat(task-logger): strip ANSI escape codes from logs and extend coverage (#1411) by @StillKnotKnown in 988ec0c25
+- fix(frontend): use spawn() instead of exec() for Windows terminal launching (#1498) by @StillKnotKnown in 26c9083d3
+- fix(api-profiles): correct z.AI China preset URL and rename provider presets (#1500) by @StillKnotKnown in 05cf0a516
+- fix: validate branch pattern before worktree cleanup to prevent deleting wrong branch (#1493) by @StillKnotKnown in 8576754a1
+- Real-Time Updates for Insights Chat (#1511) by @Andy in d940b6ade
+- Fix Terminal UI Rendering Issues (#1514) by @Andy in 8d8306b8e
+- Fix terminal content resizing on expansion (#1512) by @Andy in 9f6c0026b
+- Restore Terminal Session History on App Restart (#1515) by @Andy in 63e2847fc
+- Move Reference Images Above Task Title & Fix Image Display Issues (#1513) by @Andy in b269ac305
+- auto-claude: 143-fix-github-integration-ui-refresh-issues (#1467) by @Andy in aa2cb4fa6
+- feat: Multi-profile account swapping with token refresh and queue routing (#1496) by @Andy in 1e72c8d77
+- Simplified Testing Strategy for Regression Prevention (#1379) by @Andy in ae4e48e8b
+- auto-claude: 152-persist-tasks-during-roadmap-regeneration (#1463) by @Andy in 9bd3d7e3b
+- Debug Kanban Memory & Add Sentry Monitoring (#1380) by @Andy in bc5f550ee
+- auto-claude: 147-remove-outdated-compatibility-shims (#1465) by @Andy in 53111dbb9
+- auto-claude: 162-fix-worktree-error-on-repeated-task-starts (#1453) by @Andy in b955badf7
+- auto-claude: 155-fix-pr-list-diff-display-metrics (#1458) by @Andy in 31f116db5
+- auto-claude: 151-fix-pr-review-agent-token-refresh-on-account-swap (#1456) by @Andy in d081af042
+- auto-claude: 148-add-progress-persistence-and-status-indicators (#1464) by @Andy in 4937d5745
+- auto-claude: 154-fix-task-modal-conflict-check-status-refresh (#1462) by @Andy in 0299009df
+- auto-claude: 153-widen-kanban-columns-and-add-collapse-feature (#1457) by @Andy in d65973075
+- auto-claude: subtask-1-1 - Add filter after map operation to remove empty str (#1466) by @Andy in 783f0fe0e
+- fix: add formatReleaseNotes helper for markdown changelog rendering (#1468) by @Andy in 43a97e1b3
+- feat(sidebar): add collapsible sidebar toggle (#1501) by @Michael Ludlow in d17c17887
+- fix(auth): check .credentials.json for Linux profile authentication (#1492) by @StillKnotKnown in 8d2f66291
+- auto-claude: subtask-1-1 - Replace ReleaseNotesRenderer with ReactMarkdown (#1454) by @Andy in 1185a558c
+- auto-claude: 156-fix-electron-app-version-detection-bug (#1459) by @Andy in 9a3b48c25
+- auto-claude: subtask-1-1 - Add --no-track flag to git worktree add command (#1455) by @Andy in 0c2990815
+- auto-claude: subtask-1-1 - Change task.specId to taskId in 3 startSpecCreation calls (#1461) by @Andy in 91edc0e14
+- fix(onboarding): align MemoryStep layout with Settings MemoryBackendSection (#1445) by @Michael Ludlow in e9de26d59
+- auto-claude: subtask-1-1 - Add metadata?.requireReviewBeforeCoding check (#1460) by @Andy in 426d56571
+- fix: use API profile environment variables for task title generation (#1471) by @JoshuaRileyDev in c5a0f042d
+- fix(auth): Long-lived OAuth authentication with multi-profile usage display (#1443) by @Andy in 12e788417
+- feat: Add screenshot capture to task creation modal (#1429) by @JoshuaRileyDev in 1a2a1b1fc
+- fix: prevent queue settings modal from disappearing when tasks change (#1430) by @JoshuaRileyDev in 33acc1430
+- feat: Queue System v2 with Auto-Promotion and Smart Task Management (#1203) by @JoshuaRileyDev in 3b87e24d7
+- feat: Add API profile providers usage endpoints support (#1279) by @StillKnotKnown in cfe7dedd0
+
+## Thanks to all contributors
+
+@AndyMik90, @Andy, @Burak, @StillKnotKnown, @VDT-91, @kaigler, @Michael Ludlow, @JoshuaRileyDev, @Quentin Veys, @bu5hm4nn
+
 ## 2.7.5 - Security & Platform Improvements
 
 ### ✨ New Features

CLAUDE.md

@@ -30,27 +30,55 @@ Auto Claude is a desktop application (+ CLI) where users describe a goal and AI
 
 ## Critical Rules
 
-**Claude Agent SDK only** — All AI interactions use `claude-agent-sdk`. NEVER use `anthropic.Anthropic()` directly. Always use `create_client()` from `core.client`.
+**Claude Agent SDK only** — All AI interactions use `claude-agent-sdk` because it handles security hooks, tool permissions, and MCP server integration. Use `create_client()` from `core.client`, not `anthropic.Anthropic()` directly.
 
-**i18n required** — All frontend user-facing text MUST use `react-i18next` translation keys. Never hardcode strings in JSX/TSX. Add keys to both `en/*.json` and `fr/*.json`.
+**i18n required** — All frontend user-facing text uses `react-i18next` translation keys. Hardcoded strings in JSX/TSX break localization for non-English users. Add keys to both `en/*.json` and `fr/*.json`.
 
-**Platform abstraction** — Never use `process.platform` directly. Import from `apps/frontend/src/main/platform/` or `apps/backend/core/platform/`. CI tests all three platforms.
+**Platform abstraction** — Use the platform modules in `apps/frontend/src/main/platform/` or `apps/backend/core/platform/` instead of `process.platform` directly. CI tests all three platforms, and raw platform checks cause failures.
 
-**No time estimates** — Never provide duration predictions. Use priority-based ordering instead.
+**No time estimates** — Provide priority-based ordering instead of duration predictions.
 
-**PR target** — Always target the `develop` branch for PRs to AndyMik90/Auto-Claude, NOT `main`.
+**PR target** — Always target the `develop` branch for PRs, not `main`. Main is reserved for releases.
 
-## Work Approach
+**No console.log in production code** — `console.log` output is invisible in bundled Electron apps. Use Sentry for error tracking in production; reserve `console.log` for development only.
 
-**Investigate before speculating** — Always read the actual code before proposing root causes. Spawn agents to grep and read relevant source files before forming any hypothesis. Never guess at causes without evidence from the codebase.
+## Work Approach: Orchestrator-First
 
-**Spawn agents for complex tasks** — When tackling complex tasks, spawn sub-agents/agent teams immediately rather than trying to handle everything in a single context window. Never attempt to analyze large codebases or multiple features monolithically.
+You are an orchestrator. Your primary role is to understand what needs to be done, break it into workstreams, and delegate execution to agent teams. This keeps your context window focused on coordination and decision-making rather than filling up with implementation details.
 
-**Minimal fixes only** — Prefer the simplest approach (e.g., prompt-only changes, single guard clause) before suggesting multi-component solutions. If the user asks for X, implement X — don't bundle additional fixes they didn't request.
+<orchestrator_pattern>
+When given a task, follow this pattern:
+
+1. **Investigate first** — Read the actual code before forming any hypothesis. Use targeted searches (Glob, Grep, Read) for simple lookups. For broader exploration, spawn an Explore agent.
+
+2. **Plan the approach** — Identify what needs to change, which files are involved, and whether work can be parallelized. For multi-step tasks, create a task list to track workstreams.
+
+3. **Delegate execution** — Spawn agent teams to do the implementation work. Each agent gets a clear, self-contained assignment with all the context it needs: relevant file paths, the specific change to make, and acceptance criteria. Run independent workstreams in parallel.
+
+4. **Verify and integrate** — Review agent outputs, run tests, and ensure changes work together. Fix integration issues or spawn follow-up agents as needed.
+</orchestrator_pattern>
+
+**When to delegate vs. do directly:**
+- Delegate: multi-file changes, research across the codebase, independent parallel workstreams, tasks that would consume significant context
+- Do directly: single-file edits, simple bug fixes, quick lookups, tasks where you already have the context
+
+**Giving agents good assignments** — Each agent works with a fresh context. Include: the specific goal, relevant file paths, code patterns to follow, and what "done" looks like. Agents perform better with explicit, complete instructions than with vague references to "the current task."
+
+**Minimal changes only** — Prefer the simplest approach (e.g., prompt-only changes, single guard clause) before suggesting multi-component solutions. If the user asks for X, implement X — don't bundle additional fixes they didn't request.
+
+**Default to action** — When the user's intent implies making changes, implement them rather than only suggesting. If something is unclear, read the relevant code to fill in the gaps rather than asking. Only ask when genuine ambiguity remains about what the user wants.
+
+## Context Management
+
+Your context window will be automatically compacted as it approaches its limit, allowing you to continue working indefinitely. Do not stop tasks early due to context concerns — instead, persist progress and keep going.
+
+**For long-running tasks:** Use git commits, task lists, and structured notes to track state. When context compacts, review git log and any progress files to re-orient. Focus on incremental progress — complete one component before moving to the next, and commit working states along the way.
+
+**Parallel tool calls** — When reading multiple files, running independent searches, or executing unrelated commands, make all calls in parallel rather than sequentially. This significantly speeds up investigation and implementation.
 
 ## Known Gotchas
 
-**Electron path resolution** — For bug fixes in the Electron app, always check path resolution differences between dev and production builds (`app.isPackaged`, `process.resourcesPath`). Paths that work in dev often break when Electron is bundled for production — verify both contexts.
+**Electron path resolution** — For bug fixes in the Electron app, check path resolution differences between dev and production builds (`app.isPackaged`, `process.resourcesPath`). Paths that work in dev often break when Electron is bundled for production — verify both contexts.
 
 ### Resetting PR Review State
 
@@ -60,6 +88,7 @@ To fully clear all PR review data so reviews run fresh, delete/reset these three
 2. `rm .auto-claude/github/pr/review_*.json` — review result files
 3. Reset `pr/index.json` to `{"reviews": [], "last_updated": null}`
 4. Reset `bot_detection_state.json` to `{"reviewed_commits": {}}` — this is the gatekeeper; without clearing it, the bot detector skips already-seen commits
+
 ## Project Structure
 
 ```
@@ -161,17 +190,6 @@ Each spec in `.auto-claude/specs/XXX-name/` contains: `spec.md`, `requirements.j
 
 Graph-based semantic memory in `integrations/graphiti/`. Configured through the Electron app's onboarding/settings UI (CLI users can alternatively set `GRAPHITI_ENABLED=true` in `.env`). See [ARCHITECTURE.md](shared_docs/ARCHITECTURE.md#memory-system) for details.
 
-### Opus 4.6 Features
-
-Auto Claude leverages Opus 4.6's advanced capabilities for GitHub issue investigations:
-
-- **Fast Mode:** 2.5x faster investigations (toggle in Settings > GitHub > AI Investigation)
-- **128K Output Tokens:** Root cause specialist gets max tokens for deep analysis
-- **Per-Specialist Limits:** Different token limits per investigation specialist
-- **Adaptive Thinking:** High-effort mode for thorough investigations
-
-See [guides/opus-4.6-features.md](guides/opus-4.6-features.md) for detailed documentation on Opus 4.6 features, pricing, and usage.
-
 ## Frontend Development
 
 ### Tech Stack
@@ -286,7 +304,7 @@ Supports Windows, macOS, Linux. CI tests all three.
 | `findExecutable(name)` | Cross-platform executable lookup |
 | `requiresShell(command)` | `.cmd/.bat` shell detection (Win) |
 
-Never hardcode paths. Use `findExecutable()` and `joinPaths()`. See [ARCHITECTURE.md](shared_docs/ARCHITECTURE.md#cross-platform-development) for extended guide.
+Use `findExecutable()` and `joinPaths()` instead of hardcoded paths. See [ARCHITECTURE.md](shared_docs/ARCHITECTURE.md#cross-platform-development) for extended guide.
 
 ## E2E Testing (Electron MCP)
 

README.md

@@ -17,18 +17,18 @@
 ### Stable Release
 
 <!-- STABLE_VERSION_BADGE -->
-[![Stable](https://img.shields.io/badge/stable-2.7.5-blue?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.5)
+[![Stable](https://img.shields.io/badge/stable-2.7.6-blue?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.6)
 <!-- STABLE_VERSION_BADGE_END -->
 
 <!-- STABLE_DOWNLOADS -->
 | Platform | Download |
 |----------|----------|
-| **Windows** | [Auto-Claude-2.7.5-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-win32-x64.exe) |
-| **macOS (Apple Silicon)** | [Auto-Claude-2.7.5-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-darwin-arm64.dmg) |
-| **macOS (Intel)** | [Auto-Claude-2.7.5-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-darwin-x64.dmg) |
-| **Linux** | [Auto-Claude-2.7.5-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-linux-x86_64.AppImage) |
-| **Linux (Debian)** | [Auto-Claude-2.7.5-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-linux-amd64.deb) |
-| **Linux (Flatpak)** | [Auto-Claude-2.7.5-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.5/Auto-Claude-2.7.5-linux-x86_64.flatpak) |
+| **Windows** | [Auto-Claude-2.7.6-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-win32-x64.exe) |
+| **macOS (Apple Silicon)** | [Auto-Claude-2.7.6-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-darwin-arm64.dmg) |
+| **macOS (Intel)** | [Auto-Claude-2.7.6-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-darwin-x64.dmg) |
+| **Linux** | [Auto-Claude-2.7.6-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-linux-x86_64.AppImage) |
+| **Linux (Debian)** | [Auto-Claude-2.7.6-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-linux-amd64.deb) |
+| **Linux (Flatpak)** | [Auto-Claude-2.7.6-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6/Auto-Claude-2.7.6-linux-x86_64.flatpak) |
 <!-- STABLE_DOWNLOADS_END -->
 
 ### Beta Release
@@ -36,18 +36,18 @@
 > ⚠️ Beta releases may contain bugs and breaking changes. [View all releases](https://github.com/AndyMik90/Auto-Claude/releases)
 
 <!-- BETA_VERSION_BADGE -->
-[![Beta](https://img.shields.io/badge/beta-2.7.6--beta.5-orange?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.6-beta.5)
+[![Beta](https://img.shields.io/badge/beta-2.7.6--beta.6-orange?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.6-beta.6)
 <!-- BETA_VERSION_BADGE_END -->
 
 <!-- BETA_DOWNLOADS -->
 | Platform | Download |
 |----------|----------|
-| **Windows** | [Auto-Claude-2.7.6-beta.5-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-win32-x64.exe) |
-| **macOS (Apple Silicon)** | [Auto-Claude-2.7.6-beta.5-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-darwin-arm64.dmg) |
-| **macOS (Intel)** | [Auto-Claude-2.7.6-beta.5-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-darwin-x64.dmg) |
-| **Linux** | [Auto-Claude-2.7.6-beta.5-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-linux-x86_64.AppImage) |
-| **Linux (Debian)** | [Auto-Claude-2.7.6-beta.5-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-linux-amd64.deb) |
-| **Linux (Flatpak)** | [Auto-Claude-2.7.6-beta.5-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.5/Auto-Claude-2.7.6-beta.5-linux-x86_64.flatpak) |
+| **Windows** | [Auto-Claude-2.7.6-beta.6-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-win32-x64.exe) |
+| **macOS (Apple Silicon)** | [Auto-Claude-2.7.6-beta.6-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-darwin-arm64.dmg) |
+| **macOS (Intel)** | [Auto-Claude-2.7.6-beta.6-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-darwin-x64.dmg) |
+| **Linux** | [Auto-Claude-2.7.6-beta.6-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-linux-x86_64.AppImage) |
+| **Linux (Debian)** | [Auto-Claude-2.7.6-beta.6-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-linux-amd64.deb) |
+| **Linux (Flatpak)** | [Auto-Claude-2.7.6-beta.6-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.6/Auto-Claude-2.7.6-beta.6-linux-x86_64.flatpak) |
 <!-- BETA_DOWNLOADS_END -->
 
 > All releases include SHA256 checksums and VirusTotal scan results for security verification.

apps/backend/.gitignore

@@ -62,13 +62,11 @@ Thumbs.db
 # Tests (development only)
 tests/
 
-# Exceptions: Allow specific test directories
+# Exception: Allow colocated tests within integrations/graphiti
 !integrations/graphiti/tests/
-!tests/integration/
 
 # Auto Claude data directory
 .auto-claude/
-coverage.json
 
 # Auto Claude generated files
 .auto-claude-security.json

apps/backend/__init__.py

@@ -19,5 +19,5 @@ Quick Start:
 See README.md for full documentation.
 """
 
-__version__ = "2.7.6-beta.5"
+__version__ = "2.7.6"
 __author__ = "Auto Claude Team"

apps/backend/agents/coder.py

@@ -13,7 +13,9 @@ import re
 from datetime import datetime, timedelta
 from pathlib import Path
 
+from context.constants import SKIP_DIRS
 from core.client import create_client
+from core.file_utils import write_json_atomic
 from linear_updater import (
     LinearTaskState,
     is_linear_enabled,
@@ -80,11 +82,11 @@ from .base import (
     RESUME_FILE,
     sanitize_error_message,
 )
-from .investigation_context import load_investigation_context
 from .memory_manager import debug_memory_system_status, get_graphiti_context
 from .session import post_session_processing, run_agent_session
 from .utils import (
     find_phase_for_subtask,
+    find_subtask_in_plan,
     get_commit_count,
     get_latest_commit,
     load_implementation_plan,
@@ -98,8 +100,383 @@ logger = logging.getLogger(__name__)
 # FILE VALIDATION UTILITIES
 # =============================================================================
 
+# Directories to exclude from file path search — extends context.constants.SKIP_DIRS
+_EXCLUDE_DIRS = frozenset(SKIP_DIRS | {".auto-claude", ".tox", "out"})
 
-def validate_subtask_files(subtask: dict, project_dir: Path) -> dict:
+
+def _build_file_index(
+    project_dir: Path, suffixes: set[str]
+) -> dict[str, list[tuple[str, Path]]]:
+    """
+    Build an index of project files grouped by basename, scanning the tree once.
+
+    Also indexes index.{ext} files under their parent directory name as a
+    secondary key (e.g., api/index.ts is indexed under both "index.ts" and
+    "api" as directory-stem).
+
+    Args:
+        project_dir: Root directory of the project
+        suffixes: File extensions to index (e.g., {".ts", ".tsx"})
+
+    Returns:
+        Dict mapping basename -> list of (relative_path_str, Path(relative_path))
+    """
+    index: dict[str, list[tuple[str, Path]]] = {}
+    resolved_str = str(project_dir.resolve())
+
+    for root, dirs, files in os.walk(project_dir.resolve()):
+        dirs[:] = [d for d in dirs if d not in _EXCLUDE_DIRS]
+
+        for filename in files:
+            ext_idx = filename.rfind(".")
+            if ext_idx == -1:
+                continue
+            file_suffix = filename[ext_idx:]
+            if file_suffix not in suffixes:
+                continue
+
+            full_path = os.path.join(root, filename)
+            rel_str = os.path.relpath(full_path, resolved_str).replace(os.sep, "/")
+            rel_path = Path(rel_str)
+
+            # Index by basename
+            index.setdefault(filename, []).append((rel_str, rel_path))
+
+            # Also index index.{ext} files by parent dir name (for stem matching)
+            stem_part = filename[:ext_idx]
+            if stem_part == "index":
+                dir_name = os.path.basename(root)
+                key = f"__dir_stem__:{dir_name}{file_suffix}"
+                index.setdefault(key, []).append((rel_str, rel_path))
+
+    return index
+
+
+def _score_and_select(candidates: list[tuple[str, float]]) -> str | None:
+    """
+    Select the best candidate from a scored list of (path, score) pairs.
+
+    Requires a minimum score of 8.0 and a gap of at least 3.0 from the
+    runner-up to avoid ambiguous matches.
+
+    Args:
+        candidates: List of (relative_path, score) tuples
+
+    Returns:
+        Best path if unambiguous, None otherwise
+    """
+    if not candidates:
+        return None
+
+    candidates.sort(key=lambda x: x[1], reverse=True)
+    best_path, best_score = candidates[0]
+
+    if best_score < 8.0:
+        return None
+
+    if len(candidates) > 1:
+        runner_up_score = candidates[1][1]
+        if best_score - runner_up_score < 3.0:
+            return None
+
+    return best_path
+
+
+def _find_correct_path_indexed(
+    missing_path: str,
+    parent_parts: tuple[str, ...],
+    file_index: dict[str, list[tuple[str, Path]]],
+) -> str | None:
+    """
+    Find the correct path using a pre-built file index (no tree walk needed).
+
+    Args:
+        missing_path: The incorrect file path from the plan
+        parent_parts: Parent directory parts of the missing path
+        file_index: Index built by _build_file_index
+
+    Returns:
+        Corrected relative path, or None if no good match found
+    """
+    missing = Path(missing_path)
+    basename = missing.name
+    stem = missing.stem
+    suffix = missing.suffix
+
+    if not suffix:
+        return None
+
+    candidates: list[tuple[str, float]] = []
+
+    # Strategy 1: Exact basename match
+    for rel_str, rel_path in file_index.get(basename, []):
+        score = 10.0
+        candidate_parts = rel_path.parent.parts
+        for i, part in enumerate(parent_parts):
+            if i < len(candidate_parts) and candidate_parts[i] == part:
+                score += 3.0
+        depth_diff = abs(len(candidate_parts) - len(parent_parts))
+        score -= 0.5 * depth_diff
+        candidates.append((rel_str, score))
+
+    # Strategy 2: index.{ext} in directory matching stem
+    stem_key = f"__dir_stem__:{stem}{suffix}"
+    for rel_str, rel_path in file_index.get(stem_key, []):
+        score = 8.0
+        candidate_parts = rel_path.parent.parts
+        for i, part in enumerate(parent_parts):
+            if i < len(candidate_parts) and candidate_parts[i] == part:
+                score += 3.0
+        depth_diff = abs(len(candidate_parts) - len(parent_parts))
+        score -= 0.5 * depth_diff
+        candidates.append((rel_str, score))
+
+    return _score_and_select(candidates)
+
+
+def _find_correct_path(missing_path: str, project_dir: Path) -> str | None:
+    """
+    Attempt to find the correct path for a missing file using fuzzy matching.
+
+    Strategies:
+    1. Same basename in nearby directory
+    2. index.{ext} pattern (e.g., preload/api.ts -> preload/api/index.ts)
+
+    Uses os.walk with directory pruning to avoid traversing into node_modules,
+    .git, dist, etc. — unlike Path.rglob which traverses everything then filters.
+
+    Args:
+        missing_path: The incorrect file path from the plan
+        project_dir: Root directory of the project
+
+    Returns:
+        Corrected relative path, or None if no good match found
+    """
+    missing = Path(missing_path)
+    basename = missing.name
+    stem = missing.stem
+    suffix = missing.suffix
+    parent_parts = missing.parent.parts
+
+    if not suffix:
+        return None
+
+    candidates: list[tuple[str, float]] = []
+    resolved_project = project_dir.resolve()
+    resolved_str = str(resolved_project)
+
+    # os.walk with pruning: modify dirs in-place to skip excluded directories
+    for root, dirs, files in os.walk(resolved_project):
+        dirs[:] = [d for d in dirs if d not in _EXCLUDE_DIRS]
+
+        for filename in files:
+            if not filename.endswith(suffix):
+                continue
+
+            full_path = os.path.join(root, filename)
+            rel_str = os.path.relpath(full_path, resolved_str).replace(os.sep, "/")
+            rel = Path(rel_str)
+
+            score = 0.0
+
+            # Strategy 1: Exact basename match
+            if filename == basename:
+                score += 10.0
+            # Strategy 2: index.{ext} in directory matching stem
+            elif filename == f"index{suffix}" and os.path.basename(root) == stem:
+                score += 8.0
+            else:
+                continue
+
+            # Bonus: shared parent directory segments
+            candidate_parts = rel.parent.parts
+            for i, part in enumerate(parent_parts):
+                if i < len(candidate_parts) and candidate_parts[i] == part:
+                    score += 3.0
+
+            # Penalty: depth difference
+            depth_diff = abs(len(candidate_parts) - len(parent_parts))
+            score -= 0.5 * depth_diff
+
+            candidates.append((rel_str, score))
+
+    return _score_and_select(candidates)
+
+
+def _auto_correct_subtask_files(
+    subtask: dict,
+    missing_files: list[str],
+    project_dir: Path,
+    spec_dir: Path,
+) -> list[str]:
+    """
+    Attempt to auto-correct missing file paths in a subtask.
+
+    Corrects paths in-memory AND persists changes to implementation_plan.json.
+
+    Args:
+        subtask: Subtask dictionary containing files_to_modify
+        missing_files: List of file paths that don't exist
+        project_dir: Root directory of the project
+        spec_dir: Spec directory containing implementation_plan.json
+
+    Returns:
+        List of file paths that could NOT be corrected
+    """
+    corrections: dict[str, str] = {}
+    still_missing: list[str] = []
+
+    # Build file index once for all missing files (avoids repeated os.walk)
+    suffixes_needed: set[str] = set()
+    for missing_path in missing_files:
+        suffix = Path(missing_path).suffix
+        if suffix:
+            suffixes_needed.add(suffix)
+    file_index = (
+        _build_file_index(project_dir, suffixes_needed) if suffixes_needed else {}
+    )
+
+    for missing_path in missing_files:
+        missing = Path(missing_path)
+        corrected = _find_correct_path_indexed(
+            missing_path, missing.parent.parts, file_index
+        )
+        if corrected:
+            corrections[missing_path] = corrected
+            logger.info(f"Auto-corrected file path: {missing_path} -> {corrected}")
+            print_status(f"Auto-corrected: {missing_path} -> {corrected}", "success")
+        else:
+            still_missing.append(missing_path)
+
+    if not corrections:
+        return still_missing
+
+    # Update subtask in-memory
+    files_to_modify = subtask.get("files_to_modify", [])
+    subtask["files_to_modify"] = [corrections.get(f, f) for f in files_to_modify]
+
+    # Persist corrections to implementation_plan.json
+    plan_file = spec_dir / "implementation_plan.json"
+    if plan_file.exists():
+        try:
+            with open(plan_file, encoding="utf-8") as f:
+                plan = json.load(f)
+
+            subtask_id = subtask.get("id")
+            if subtask_id is not None:
+                plan_subtask = find_subtask_in_plan(plan, subtask_id)
+                if plan_subtask:
+                    plan_files = plan_subtask.get("files_to_modify", [])
+                    plan_subtask["files_to_modify"] = [
+                        corrections.get(f, f) for f in plan_files
+                    ]
+
+            write_json_atomic(plan_file, plan)
+            logger.info(
+                f"Persisted {len(corrections)} path correction(s) to implementation_plan.json"
+            )
+        except (OSError, TypeError, ValueError) as e:
+            logger.warning(f"Failed to persist path corrections: {e}")
+
+    return still_missing
+
+
+def _validate_plan_file_paths(spec_dir: Path, project_dir: Path) -> str | None:
+    """
+    Validate all file paths in the implementation plan after planning.
+
+    Builds a file index once, then checks all paths across all subtasks against it.
+    Attempts auto-correction for missing paths. Returns a retry context string for
+    the planner if uncorrectable paths remain, or None if all paths are valid.
+
+    Args:
+        spec_dir: Spec directory containing implementation_plan.json
+        project_dir: Root directory of the project
+
+    Returns:
+        Retry context string if issues remain, None if all OK
+    """
+    plan_file = spec_dir / "implementation_plan.json"
+    if not plan_file.exists():
+        return None
+
+    try:
+        with open(plan_file, encoding="utf-8") as f:
+            plan = json.load(f)
+    except (OSError, json.JSONDecodeError, UnicodeDecodeError):
+        return None
+
+    resolved_project = project_dir.resolve()
+
+    # First pass: collect all missing files and their suffixes
+    missing_entries: list[
+        tuple[list[str], int, str]
+    ] = []  # (subtask_files_list, index, path)
+    suffixes_needed: set[str] = set()
+
+    for phase in plan.get("phases", []):
+        for subtask in phase.get("subtasks", []):
+            files = subtask.get("files_to_modify", [])
+            for i, file_path in enumerate(files):
+                full_path = (resolved_project / file_path).resolve()
+                if not full_path.is_relative_to(resolved_project):
+                    continue
+                if full_path.exists():
+                    continue
+
+                missing = Path(file_path)
+                if missing.suffix:
+                    suffixes_needed.add(missing.suffix)
+                    missing_entries.append((files, i, file_path))
+
+    if not missing_entries:
+        return None
+
+    # Build index once for all needed suffixes
+    file_index = _build_file_index(project_dir, suffixes_needed)
+
+    all_missing: list[str] = []
+    corrections_made = 0
+
+    for files_list, idx, file_path in missing_entries:
+        missing = Path(file_path)
+        corrected = _find_correct_path_indexed(
+            file_path, missing.parent.parts, file_index
+        )
+        if corrected:
+            files_list[idx] = corrected
+            corrections_made += 1
+            logger.info(f"Post-plan auto-corrected: {file_path} -> {corrected}")
+            print_status(f"Auto-corrected: {file_path} -> {corrected}", "success")
+        else:
+            all_missing.append(file_path)
+
+    # Persist any corrections that were made
+    if corrections_made > 0:
+        try:
+            write_json_atomic(plan_file, plan)
+            logger.info(f"Persisted {corrections_made} post-plan path correction(s)")
+        except (OSError, TypeError, ValueError) as e:
+            logger.warning(f"Failed to persist post-plan corrections: {e}")
+
+    if not all_missing:
+        return None
+
+    return (
+        "## FILE PATH VALIDATION ERRORS\n\n"
+        "The following files referenced in your implementation plan do NOT exist "
+        "and could not be auto-corrected:\n"
+        + "\n".join(f"- `{p}`" for p in all_missing)
+        + "\n\nPlease fix these file paths in the `implementation_plan.json`.\n"
+        "Use the project's actual file structure to find the correct paths.\n"
+        "Common issues: wrong directory nesting, missing index files "
+        "(e.g., `dir/file.ts` should be `dir/file/index.ts`)."
+    )
+
+
+def validate_subtask_files(
+    subtask: dict, project_dir: Path, spec_dir: Path | None = None
+) -> dict:
     """
     Validate all files_to_modify exist before subtask execution.
 
@@ -137,6 +514,15 @@ def validate_subtask_files(subtask: dict, project_dir: Path) -> dict:
         }
 
     if missing_files:
+        # Attempt auto-correction if spec_dir is provided
+        if spec_dir:
+            still_missing = _auto_correct_subtask_files(
+                subtask, missing_files, project_dir, spec_dir
+            )
+            if not still_missing:
+                return {"success": True, "missing_files": [], "invalid_paths": []}
+            missing_files = still_missing
+
         return {
             "success": False,
             "error": f"Planned files do not exist: {', '.join(missing_files)}",
@@ -686,7 +1072,10 @@ async def run_autonomous_agent(
 
             # Validate that all files_to_modify exist before attempting execution
             # This prevents infinite retry loops when implementation plan references non-existent files
-            validation_result = validate_subtask_files(next_subtask, project_dir)
+            # Pass spec_dir to enable auto-correction of wrong paths
+            validation_result = validate_subtask_files(
+                next_subtask, project_dir, spec_dir
+            )
             if not validation_result["success"]:
                 # File validation failed - record error and skip session
                 error_msg = validation_result["error"]
@@ -720,6 +1109,11 @@ async def run_autonomous_agent(
                         subtask_id,
                         f"File validation failed after {attempt_count} attempts: {error_msg}",
                     )
+                    emit_phase(
+                        ExecutionPhase.FAILED,
+                        f"Subtask {subtask_id} stuck: file validation failed",
+                        subtask=subtask_id,
+                    )
                     print_status(
                         f"Subtask {subtask_id} marked as STUCK after {attempt_count} failed validation attempts",
                         "error",
@@ -783,84 +1177,6 @@ async def run_autonomous_agent(
                 prompt += "\n\n" + graphiti_context
                 print_status("Graphiti memory context loaded", "success")
 
-            # Load investigation context if this is a GitHub-sourced task
-            investigation_context = load_investigation_context(spec_dir)
-            if investigation_context:
-                # Format investigation context for the prompt
-                inv = investigation_context
-                inv_prompt = "\n## GitHub Investigation Context\n\n"
-                inv_prompt += (
-                    "This task was created from a GitHub issue investigation. "
-                )
-                inv_prompt += "Use this context to guide your work.\n\n"
-
-                if inv.get("root_cause", {}).get("summary"):
-                    inv_prompt += f"**Root Cause:** {inv['root_cause']['summary']}\n\n"
-
-                if inv.get("root_cause", {}).get("evidence"):
-                    inv_prompt += f"**Evidence:**\n{inv['root_cause']['evidence']}\n\n"
-
-                if inv.get("root_cause", {}).get("code_paths"):
-                    inv_prompt += "**Code Paths:**\n"
-                    for path in inv["root_cause"]["code_paths"]:
-                        file_ref = path.get("file", "unknown")
-                        start = path.get("start_line", "")
-                        end = path.get("end_line", "")
-                        desc = path.get("description", "")
-                        line_range = f":{start}-{end}" if start and end else ""
-                        inv_prompt += f"- `{file_ref}{line_range}`"
-                        if desc:
-                            inv_prompt += f" — {desc}"
-                        inv_prompt += "\n"
-                    inv_prompt += "\n"
-
-                if inv.get("fix_approaches"):
-                    inv_prompt += "**Fix Approaches:**\n"
-                    for i, approach in enumerate(inv["fix_approaches"], 1):
-                        desc = approach.get("description", "Approach")
-                        complexity = approach.get("complexity", "")
-                        inv_prompt += f"{i}. {desc}"
-                        if complexity:
-                            inv_prompt += f" (complexity: {complexity})"
-                        inv_prompt += "\n"
-                        files_affected = approach.get("files_affected", [])
-                        if files_affected:
-                            inv_prompt += f"   - Files: {', '.join(files_affected)}\n"
-                    inv_prompt += "\n"
-
-                if inv.get("gotchas"):
-                    inv_prompt += "**Gotchas:**\n"
-                    for gotcha in inv["gotchas"]:
-                        inv_prompt += f"- {gotcha}\n"
-                    inv_prompt += "\n"
-
-                if inv.get("patterns_to_follow"):
-                    inv_prompt += "**Patterns to Follow:**\n"
-                    for pattern in inv["patterns_to_follow"]:
-                        file_ref = pattern.get("file", "unknown")
-                        desc = pattern.get("description", "")
-                        inv_prompt += f"- `{file_ref}`"
-                        if desc:
-                            inv_prompt += f" — {desc}"
-                        inv_prompt += "\n"
-                    inv_prompt += "\n"
-
-                if inv.get("reproducer"):
-                    reproducer = inv["reproducer"]
-                    inv_prompt += "**Verification Steps:**\n"
-                    steps = reproducer.get("reproduction_steps", [])
-                    for step in steps:
-                        inv_prompt += f"- {step}\n"
-                    test_approach = reproducer.get("suggested_test_approach")
-                    if test_approach:
-                        inv_prompt += (
-                            f"\n**Suggested Test Approach:** {test_approach}\n"
-                        )
-                    inv_prompt += "\n"
-
-                prompt += inv_prompt
-                print_status("Investigation context loaded", "success")
-
             # Add concurrency error context if recovering from 400 error
             if concurrency_error_context:
                 prompt += "\n\n" + concurrency_error_context
@@ -891,8 +1207,28 @@ async def run_autonomous_agent(
         if is_planning_phase and status != "error":
             valid, errors = _validate_and_fix_implementation_plan()
             if valid:
-                plan_validated = True
-                planning_retry_context = None
+                # Fix 5: Validate file paths in the newly created plan
+                path_issues = _validate_plan_file_paths(spec_dir, project_dir)
+                if (
+                    path_issues
+                    and planning_validation_failures < max_planning_validation_retries
+                ):
+                    planning_validation_failures += 1
+                    planning_retry_context = path_issues
+                    print_status(
+                        "Plan has invalid file paths - retrying planner",
+                        "warning",
+                    )
+                    first_run = True
+                    status = "continue"
+                else:
+                    if path_issues:
+                        logger.warning(
+                            f"Plan has uncorrectable file paths after "
+                            f"{planning_validation_failures} retries - proceeding anyway"
+                        )
+                    plan_validated = True
+                    planning_retry_context = None
             else:
                 planning_validation_failures += 1
                 if planning_validation_failures >= max_planning_validation_retries:
@@ -950,6 +1286,11 @@ async def run_autonomous_agent(
                 recovery_manager.mark_subtask_stuck(
                     subtask_id, f"Failed after {attempt_count} attempts"
                 )
+                emit_phase(
+                    ExecutionPhase.FAILED,
+                    f"Subtask {subtask_id} stuck after {attempt_count} attempts",
+                    subtask=subtask_id,
+                )
                 print()
                 print_status(
                     f"Subtask {subtask_id} marked as STUCK after {attempt_count} attempts",
@@ -1309,4 +1650,24 @@ async def run_autonomous_agent(
     if completed == total:
         status_manager.update(state=BuildState.COMPLETE)
     else:
-        status_manager.update(state=BuildState.PAUSED)
+        # Check if all remaining subtasks are stuck — if so, this is an error, not a pause
+        all_remaining_stuck = False
+        if stuck_subtasks:
+            stuck_ids = {s["subtask_id"] for s in stuck_subtasks}
+            plan = load_implementation_plan(spec_dir)
+            if plan:
+                all_remaining_stuck = True
+                for phase in plan.get("phases", []):
+                    for s in phase.get("subtasks", []):
+                        if s.get("status") != "completed":
+                            if s.get("id") not in stuck_ids:
+                                all_remaining_stuck = False
+                                break
+                    if not all_remaining_stuck:
+                        break
+
+        if all_remaining_stuck and stuck_subtasks:
+            emit_phase(ExecutionPhase.FAILED, "All remaining subtasks are stuck")
+            status_manager.update(state=BuildState.ERROR)
+        else:
+            status_manager.update(state=BuildState.PAUSED)

apps/backend/agents/investigation_context.py

@@ -1,97 +0,0 @@
-"""
-Investigation context loading for agents.
-
-Provides utilities to load investigation data from spec directories
-for GitHub-sourced tasks.
-"""
-
-import json
-from pathlib import Path
-from typing import Any
-
-
-def load_investigation_context(spec_dir: Path) -> dict[str, Any] | None:
-    """
-    Load investigation context if this spec was created from a GitHub issue.
-
-    Args:
-        spec_dir: Path to the spec directory
-
-    Returns:
-        Structured investigation context with root_cause, fix_approaches,
-        reproducer, gotchas, and patterns_to_follow, or None if no
-        investigation data exists.
-    """
-    investigation_report_path = spec_dir / "investigation_report.json"
-
-    if not investigation_report_path.exists():
-        return None
-
-    try:
-        with open(investigation_report_path) as f:
-            report = json.load(f)
-
-        root_cause = report.get("root_cause", {})
-        fix_advice = report.get("fix_advice", {})
-        reproduction = report.get("reproduction", {})
-
-        # Structure the context for agents
-        return {
-            "root_cause": {
-                "summary": root_cause.get("identified_root_cause"),
-                "evidence": root_cause.get("evidence", ""),
-                "code_paths": root_cause.get("code_paths", []),
-            },
-            "fix_approaches": fix_advice.get("approaches", []),
-            "reproducer": reproduction if reproduction else None,
-            "gotchas": fix_advice.get("gotchas", []),
-            "patterns_to_follow": fix_advice.get("patterns_to_follow", []),
-            "impact": report.get("impact", {}),
-        }
-    except (json.JSONDecodeError, OSError):
-        return None
-
-
-def load_investigation_for_qa(
-    spec_dir: Path, base_branch: str
-) -> dict[str, Any] | None:
-    """
-    Load investigation context for QA validation.
-
-    Similar to load_investigation_context but includes base_branch
-    for QA comparison.
-
-    Args:
-        spec_dir: Path to the spec directory
-        base_branch: Base branch to compare against (e.g., 'main', 'develop')
-
-    Returns:
-        Structured investigation context with root_cause, reproducer,
-        impact, expected_outcome, and base_branch, or None if no
-        investigation data exists.
-    """
-    investigation_report_path = spec_dir / "investigation_report.json"
-
-    if not investigation_report_path.exists():
-        return None
-
-    try:
-        with open(investigation_report_path) as f:
-            report = json.load(f)
-
-        root_cause = report.get("root_cause", {})
-        reproduction = report.get("reproduction", {})
-
-        return {
-            "root_cause": {
-                "summary": root_cause.get("identified_root_cause"),
-                "evidence": root_cause.get("evidence", ""),
-                "code_paths": root_cause.get("code_paths", []),
-            },
-            "reproducer": reproduction if reproduction else None,
-            "impact": report.get("impact", {}),
-            "expected_outcome": report.get("ai_summary"),
-            "base_branch": base_branch,
-        }
-    except (json.JSONDecodeError, OSError):
-        return None

apps/backend/agents/session.py

@@ -14,6 +14,7 @@ from core.error_utils import (
     is_authentication_error,
     is_rate_limit_error,
     is_tool_concurrency_error,
+    safe_receive_messages,
 )
 from core.file_utils import write_json_atomic
 from debug import debug, debug_detailed, debug_error, debug_section, debug_success
@@ -490,7 +491,7 @@ async def run_agent_session(
         # Collect response text and show tool use
         response_text = ""
         debug("session", "Starting to receive response stream...")
-        async for msg in client.receive_response():
+        async for msg in safe_receive_messages(client, caller="session"):
             msg_type = type(msg).__name__
             message_count += 1
             debug_detailed(

apps/backend/agents/tools_pkg/models.py

@@ -308,13 +308,6 @@ AGENT_CONFIGS = {
         "auto_claude_tools": [],
         "thinking_default": "medium",
     },
-    "investigation_specialist": {
-        # Read-only specialist for issue investigation (root cause, impact, fix, reproduction)
-        "tools": BASE_READ_TOOLS,
-        "mcp_servers": [],
-        "auto_claude_tools": [],
-        "thinking_default": "medium",
-    },
     # ═══════════════════════════════════════════════════════════════════════
     # ANALYSIS PHASES
     # ═══════════════════════════════════════════════════════════════════════

apps/backend/cli/build_commands.py

@@ -61,8 +61,6 @@ def handle_build_command(
     skip_qa: bool,
     force_bypass_approval: bool,
     base_branch: str | None = None,
-    issue_workflow: bool = False,
-    issue_number: int | None = None,
 ) -> None:
     """
     Handle the main build command.
@@ -79,8 +77,6 @@ def handle_build_command(
         skip_qa: Skip automatic QA validation
         force_bypass_approval: Force bypass approval check
         base_branch: Base branch for worktree creation (default: current branch)
-        issue_workflow: If True, run from a GitHub issue investigation
-        issue_number: GitHub issue number (required when issue_workflow=True)
     """
     # Lazy imports to avoid loading heavy modules
     from agent import run_autonomous_agent, sync_spec_to_source
@@ -99,30 +95,6 @@ def handle_build_command(
 
     from .utils import print_banner, validate_environment
 
-    # Handle issue workflow: load investigation report and inject context
-    if issue_workflow:
-        if not issue_number:
-            print("\nError: --issue-number is required with --issue-workflow")
-            sys.exit(1)
-
-        pipeline_mode = _get_investigation_pipeline_mode(project_dir)
-        _inject_issue_workflow_context(project_dir, spec_dir, issue_number)
-
-        # pipelineMode controls which phases to skip:
-        # - "full": run complete spec + planning + coding + QA pipeline (default)
-        # - "skip_to_planning": skip spec creation, go to planning (investigation = spec)
-        # - "minimal": skip spec + planning, go straight to coding
-        if pipeline_mode == "skip_to_planning":
-            # Investigation report serves as the spec; bypass approval since
-            # the investigation was already reviewed.
-            force_bypass_approval = True
-        elif pipeline_mode == "minimal":
-            # Skip everything: create a minimal plan so the planner is bypassed
-            # and the coder starts immediately from the investigation context.
-            force_bypass_approval = True
-            skip_qa = True
-            _create_minimal_plan_for_issue(spec_dir, issue_number)
-
     # Get the resolved model for the planning phase (first phase of build)
     # This respects task_metadata.json phase configuration from the UI
     planning_model = get_phase_model(spec_dir, "planning", model)
@@ -513,228 +485,3 @@ def _handle_build_interrupt(
         content.append(muted("Your build is in a separate workspace and is safe."))
     print(box(content, width=70, style="light"))
     print()
-
-
-def _create_minimal_plan_for_issue(spec_dir: Path, issue_number: int) -> None:
-    """Create a minimal implementation plan so the planner phase is skipped.
-
-    Used in "minimal" pipeline mode where the investigation context is
-    sufficient and we want the coder to start immediately.
-
-    Args:
-        spec_dir: Spec directory path
-        issue_number: GitHub issue number for context
-    """
-    from datetime import datetime
-
-    plan_file = spec_dir / "implementation_plan.json"
-    if plan_file.exists():
-        # Don't overwrite an existing plan (e.g. if resuming)
-        return
-
-    plan = {
-        "phases": [
-            {
-                "phase": 1,
-                "name": "Implementation",
-                "description": f"Implement fix for issue #{issue_number} based on investigation findings",
-                "depends_on": [],
-                "subtasks": [
-                    {
-                        "id": "subtask-1-1",
-                        "description": (
-                            f"Implement the fix for issue #{issue_number}. "
-                            "Follow the investigation context in HUMAN_INPUT.md "
-                            "for root cause analysis, recommended fix approach, "
-                            "and files to modify."
-                        ),
-                        "service": "main",
-                        "status": "pending",
-                        "files_to_create": [],
-                        "files_to_modify": [],
-                        "patterns_from": [],
-                        "verification": {
-                            "type": "manual",
-                            "run": "Verify the fix resolves the issue",
-                        },
-                    }
-                ],
-            }
-        ],
-        "metadata": {
-            "created_at": datetime.now().isoformat(),
-            "complexity": "simple",
-            "estimated_sessions": 1,
-            "pipeline_mode": "minimal",
-            "source_issue": issue_number,
-        },
-    }
-
-    from core.file_utils import write_json_atomic
-
-    write_json_atomic(plan_file, plan)
-    print("  Pipeline mode: minimal (skipping planner, created single-subtask plan)")
-
-
-def _get_investigation_pipeline_mode(project_dir: Path) -> str:
-    """Read the pipelineMode from investigation settings.
-
-    Reads from .auto-claude/github/config.json -> investigation_settings.pipelineMode.
-    Defaults to "full" if not configured.
-
-    Args:
-        project_dir: Project root directory
-
-    Returns:
-        Pipeline mode string: "full", "skip_to_planning", or "minimal"
-    """
-    import json
-
-    config_path = project_dir / ".auto-claude" / "github" / "config.json"
-    if not config_path.exists():
-        return "full"
-
-    try:
-        data = json.loads(config_path.read_text(encoding="utf-8"))
-        settings = data.get("investigation_settings", {})
-        mode = settings.get("pipelineMode", "full")
-        if mode in ("full", "skip_to_planning", "minimal"):
-            return mode
-        return "full"
-    except (json.JSONDecodeError, OSError):
-        return "full"
-
-
-def _inject_issue_workflow_context(
-    project_dir: Path,
-    spec_dir: Path,
-    issue_number: int,
-) -> None:
-    """Inject investigation context into the build workflow.
-
-    Loads the investigation report for the given issue and writes a
-    HUMAN_INPUT.md file in the spec directory with root cause analysis,
-    fix advice, and other investigation context. This is read by the
-    coder agent as additional guidance.
-
-    Also updates the investigation state to "building".
-
-    Args:
-        project_dir: Project root directory
-        spec_dir: Spec directory path
-        issue_number: GitHub issue number
-    """
-
-    # Use try/except for imports matching the codebase pattern
-    try:
-        from runners.github.services.investigation_persistence import (
-            load_investigation_report,
-            save_investigation_state,
-        )
-    except (ImportError, ValueError, SystemError):
-        # Add parent to path if needed
-        _backend = Path(__file__).parent.parent
-        if str(_backend) not in sys.path:
-            sys.path.insert(0, str(_backend))
-        from runners.github.services.investigation_persistence import (
-            load_investigation_report,
-            save_investigation_state,
-        )
-
-    report = load_investigation_report(project_dir, issue_number)
-    if report is None:
-        print(f"\nWarning: No investigation report found for issue #{issue_number}")
-        print("Proceeding without investigation context.")
-        return
-
-    # Build context string for the coder agent
-    context_parts: list[str] = []
-    context_parts.append(f"# Investigation Context for Issue #{issue_number}")
-    context_parts.append("")
-    context_parts.append(f"## {report.issue_title}")
-    context_parts.append("")
-    context_parts.append(f"**Severity:** {report.severity}")
-    context_parts.append("")
-
-    # AI summary
-    context_parts.append("## Summary")
-    context_parts.append(report.ai_summary)
-    context_parts.append("")
-
-    # Root cause
-    context_parts.append("## Root Cause")
-    context_parts.append(report.root_cause.identified_root_cause)
-    context_parts.append("")
-
-    if report.root_cause.code_paths:
-        context_parts.append("### Code Paths")
-        for cp in report.root_cause.code_paths:
-            end = cp.end_line if cp.end_line else cp.start_line
-            context_parts.append(
-                f"- `{cp.file}:{cp.start_line}-{end}`: {cp.description}"
-            )
-        context_parts.append("")
-
-    # Fix advice
-    if report.fix_advice.approaches:
-        rec_idx = report.fix_advice.recommended_approach
-        context_parts.append("## Recommended Fix")
-        if 0 <= rec_idx < len(report.fix_advice.approaches):
-            approach = report.fix_advice.approaches[rec_idx]
-            context_parts.append(approach.description)
-            context_parts.append("")
-            if approach.files_affected:
-                context_parts.append("**Files to modify:**")
-                for f in approach.files_affected:
-                    context_parts.append(f"- `{f}`")
-                context_parts.append("")
-
-    # Gotchas
-    if report.fix_advice.gotchas:
-        context_parts.append("## Gotchas")
-        for gotcha in report.fix_advice.gotchas:
-            context_parts.append(f"- {gotcha}")
-        context_parts.append("")
-
-    # Patterns
-    if report.fix_advice.patterns_to_follow:
-        context_parts.append("## Patterns to Follow")
-        for pat in report.fix_advice.patterns_to_follow:
-            context_parts.append(f"- `{pat.file}`: {pat.description}")
-        context_parts.append("")
-
-    context = "\n".join(context_parts)
-
-    # Write as HUMAN_INPUT.md (existing mechanism for agent guidance injection)
-    input_file = spec_dir / "HUMAN_INPUT.md"
-    existing = ""
-    if input_file.exists():
-        existing = input_file.read_text(encoding="utf-8")
-
-    if existing:
-        # Append investigation context to existing human input
-        combined = existing + "\n\n" + context
-    else:
-        combined = context
-
-    input_file.write_text(combined, encoding="utf-8")
-
-    # Update investigation state to "building" (note: we use the broader
-    # "task_created" status since "building" isn't a valid InvestigationState status)
-    from datetime import datetime, timezone
-
-    save_investigation_state(
-        project_dir,
-        issue_number,
-        {
-            "issue_number": issue_number,
-            "status": "task_created",
-            "started_at": datetime.now(timezone.utc).isoformat(),
-            "linked_spec_id": spec_dir.name,
-        },
-    )
-
-    print(f"\nIssue workflow: Injected investigation context for #{issue_number}")
-    print(f"  Root cause: {report.root_cause.identified_root_cause[:80]}...")
-    print(f"  Severity: {report.severity}")
-    print()

apps/backend/cli/main.py

@@ -280,19 +280,6 @@ Environment Variables:
         help="Actually delete files in cleanup (not just preview)",
     )
 
-    # Issue workflow
-    parser.add_argument(
-        "--issue-workflow",
-        action="store_true",
-        help="Run build from a GitHub issue investigation (requires --issue-number)",
-    )
-    parser.add_argument(
-        "--issue-number",
-        type=int,
-        default=None,
-        help="GitHub issue number for --issue-workflow",
-    )
-
     return parser.parse_args()
 
 
@@ -490,8 +477,6 @@ def _run_cli() -> None:
         skip_qa=args.skip_qa,
         force_bypass_approval=args.force,
         base_branch=args.base_branch,
-        issue_workflow=args.issue_workflow,
-        issue_number=args.issue_number,
     )
 
 

apps/backend/cli/qa_commands.py

@@ -101,8 +101,12 @@ def handle_qa_command(
             print("\n✅ Build already approved by QA.")
         else:
             completed, total = count_subtasks(spec_dir)
-            print(f"\n❌ Build not complete ({completed}/{total} subtasks).")
-            print("Complete all subtasks before running QA validation.")
+            print(
+                f"\n❌ Build not ready for QA ({completed}/{total} subtasks completed)."
+            )
+            print(
+                "All subtasks must reach a terminal state (completed, failed, or stuck) before running QA."
+            )
         return
 
     if has_human_feedback:

apps/backend/core/client.py

@@ -29,6 +29,89 @@ from core.platform import (
 
 logger = logging.getLogger(__name__)
 
+# =============================================================================
+# SDK Message Parser Patch
+# =============================================================================
+# The Claude Agent SDK's message_parser raises MessageParseError for unknown
+# message types (e.g., "rate_limit_event"). Since parse_message runs inside an
+# async generator, the exception kills the entire agent session stream.
+# Patch to log a warning and return a SystemMessage instead of crashing.
+# This is needed until the SDK natively handles all CLI message types.
+
+
+def _patch_sdk_message_parser() -> None:
+    """Patch the SDK's parse_message to handle unknown message types gracefully.
+
+    The Claude CLI may emit message types that the installed SDK version doesn't
+    recognize (e.g., rate_limit_event, usage_event). Without this patch, any
+    unrecognized type raises MessageParseError inside the SDK's async generator,
+    which terminates the entire response stream and kills the agent session.
+
+    The patch converts unknown types into SystemMessage objects with a
+    'unknown_<type>' subtype, which all message consumers silently skip.
+    """
+    try:
+        import claude_agent_sdk._internal.message_parser as _parser
+        from claude_agent_sdk._errors import MessageParseError
+        from claude_agent_sdk.types import SystemMessage
+
+        _original_parse = _parser.parse_message
+
+        def _patched_parse(data):
+            try:
+                return _original_parse(data)
+            except MessageParseError as e:
+                msg = str(e)
+                if "Unknown message type" in msg:
+                    msg_type = (
+                        data.get("type", "unknown")
+                        if isinstance(data, dict)
+                        else "unknown"
+                    )
+                    # Rate limit events deserve a visible warning; others just debug-level
+                    if "rate_limit" in msg_type:
+                        retry_after = (
+                            data.get("retry_after")
+                            or data.get("data", {}).get("retry_after")
+                            if isinstance(data, dict)
+                            else None
+                        )
+                        retry_info = (
+                            f" (retry_after={retry_after}s)" if retry_after else ""
+                        )
+                        logger.warning(
+                            f"Rate limit event received from CLI{retry_info} — "
+                            f"the SDK will handle backoff automatically"
+                        )
+                    else:
+                        logger.debug(
+                            f"SDK received unhandled message type '{msg_type}', skipping"
+                        )
+                    return SystemMessage(
+                        subtype=f"unknown_{msg_type}",
+                        data=data if isinstance(data, dict) else {},
+                    )
+                raise
+
+        _parser.parse_message = _patched_parse
+    except Exception as e:
+        logger.warning(f"Failed to patch SDK message parser: {e}")
+
+
+_patch_sdk_message_parser()
+
+# =============================================================================
+# Windows System Prompt Limits
+# =============================================================================
+# Windows CreateProcessW has a 32,768 character limit for the entire command line.
+# When CLAUDE.md is very large and passed as --system-prompt, the command can exceed
+# this limit, causing ERROR_FILE_NOT_FOUND. We cap CLAUDE.md content to stay safe.
+# 20,000 chars leaves ~12KB headroom for CLI overhead (model, tools, MCP config, etc.)
+WINDOWS_MAX_SYSTEM_PROMPT_CHARS = 20000
+WINDOWS_TRUNCATION_MESSAGE = (
+    "\n\n[... CLAUDE.md truncated due to Windows command-line length limit ...]"
+)
+
 # =============================================================================
 # Project Index Cache
 # =============================================================================
@@ -821,8 +904,31 @@ def create_client(
     if should_use_claude_md():
         claude_md_content = load_claude_md(project_dir)
         if claude_md_content:
+            # On Windows, the SDK passes system_prompt as a --system-prompt CLI argument.
+            # Windows CreateProcessW has a 32,768 character limit for the entire command line.
+            # When CLAUDE.md is very large, the command can exceed this limit, causing Windows
+            # to return ERROR_FILE_NOT_FOUND which the SDK misreports as "Claude Code not found".
+            # Cap CLAUDE.md content to keep total command line under the limit. (#1661)
+            was_truncated = False
+            if is_windows():
+                max_claude_md_chars = (
+                    WINDOWS_MAX_SYSTEM_PROMPT_CHARS
+                    - len(base_prompt)
+                    - len(WINDOWS_TRUNCATION_MESSAGE)
+                    - len("\n\n# Project Instructions (from CLAUDE.md)\n\n")
+                )
+                if len(claude_md_content) > max_claude_md_chars > 0:
+                    claude_md_content = (
+                        claude_md_content[:max_claude_md_chars]
+                        + WINDOWS_TRUNCATION_MESSAGE
+                    )
+                    print(
+                        "   - CLAUDE.md: truncated (exceeded Windows command-line limit)"
+                    )
+                    was_truncated = True
             base_prompt = f"{base_prompt}\n\n# Project Instructions (from CLAUDE.md)\n\n{claude_md_content}"
-            print("   - CLAUDE.md: included in system prompt")
+            if not was_truncated:
+                print("   - CLAUDE.md: included in system prompt")
         else:
             print("   - CLAUDE.md: not found in project root")
     else:
@@ -867,6 +973,7 @@ def create_client(
         logger.info(f"Using CLAUDE_CLI_PATH override: {env_cli_path}")
 
     # Add structured output format if specified
+    # See: https://platform.claude.com/docs/en/agent-sdk/structured-outputs
     if output_format:
         options_kwargs["output_format"] = output_format
 

apps/backend/core/debug.py

@@ -235,10 +235,10 @@ def debug_section(module: str, title: str) -> None:
         return
 
     timestamp = datetime.now().strftime("%H:%M:%S.%f")[:-3]
-    separator = "-" * 60
-    log_line = f"\n{Colors.TIMESTAMP}[{timestamp}]{Colors.RESET} {Colors.DEBUG}{Colors.BOLD}+{separator}+{Colors.RESET}"
-    log_line += f"\n{Colors.TIMESTAMP}         {Colors.RESET} {Colors.DEBUG}{Colors.BOLD}| {module}: {title}{' ' * (58 - len(module) - len(title) - 2)}|{Colors.RESET}"
-    log_line += f"\n{Colors.TIMESTAMP}         {Colors.RESET} {Colors.DEBUG}{Colors.BOLD}+{separator}+{Colors.RESET}"
+    separator = "─" * 60
+    log_line = f"\n{Colors.TIMESTAMP}[{timestamp}]{Colors.RESET} {Colors.DEBUG}{Colors.BOLD}┌{separator}┐{Colors.RESET}"
+    log_line += f"\n{Colors.TIMESTAMP}         {Colors.RESET} {Colors.DEBUG}{Colors.BOLD}│ {module}: {title}{' ' * (58 - len(module) - len(title) - 2)}│{Colors.RESET}"
+    log_line += f"\n{Colors.TIMESTAMP}         {Colors.RESET} {Colors.DEBUG}{Colors.BOLD}└{separator}┘{Colors.RESET}"
 
     _write_log(log_line)
 

apps/backend/core/error_utils.py

@@ -6,7 +6,17 @@ Common error detection and classification functions used across
 agent sessions, QA, and other modules.
 """
 
+from __future__ import annotations
+
+import logging
 import re
+from collections.abc import AsyncIterator
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from claude_agent_sdk.types import Message
+
+logger = logging.getLogger(__name__)
 
 
 def is_tool_concurrency_error(error: Exception) -> bool:
@@ -118,3 +128,61 @@ def is_authentication_error(error: Exception) -> bool:
             "please login again",
         ]
     )
+
+
+async def safe_receive_messages(
+    client,
+    *,
+    caller: str = "agent",
+) -> AsyncIterator[Message]:
+    """Iterate over SDK messages with resilience against unexpected errors.
+
+    The SDK's ``receive_response()`` async generator can terminate early if:
+    1. An unhandled message type slips past the monkey-patch (e.g., SDK upgrade
+       removes the patch surface).
+    2. A transient parse error corrupts a single message in the stream.
+    3. An unexpected ``StopAsyncIteration`` or runtime error occurs mid-stream.
+
+    This wrapper catches per-message errors, logs them, and continues yielding
+    subsequent messages so the agent session can complete its work.
+
+    It also detects rate-limit events (surfaced as ``SystemMessage`` with
+    subtype ``unknown_rate_limit_event``) and logs a user-visible warning.
+
+    Args:
+        client: A ``ClaudeSDKClient`` instance (must be inside ``async with``).
+        caller: Label for log messages (e.g., "session", "agent_runner").
+
+    Yields:
+        Parsed ``Message`` objects from the SDK response stream.
+    """
+    try:
+        async for msg in client.receive_response():
+            # Detect rate-limit events surfaced by the monkey-patch
+            msg_type = type(msg).__name__
+            if msg_type == "SystemMessage":
+                subtype = getattr(msg, "subtype", "")
+                if subtype.startswith("unknown_"):
+                    original_type = subtype[len("unknown_") :]
+                    if "rate_limit" in original_type:
+                        data = getattr(msg, "data", {})
+                        retry_after = data.get("retry_after") or data.get(
+                            "data", {}
+                        ).get("retry_after")
+                        retry_info = (
+                            f" (retry in {retry_after}s)" if retry_after else ""
+                        )
+                        logger.warning(f"[{caller}] Rate limit event{retry_info}")
+                    else:
+                        logger.debug(
+                            f"[{caller}] Skipping unknown SDK message type: {original_type}"
+                        )
+                    continue
+            yield msg
+    except GeneratorExit:
+        return
+    except Exception as e:
+        # If the generator itself raises (e.g., transport error), log and stop
+        # gracefully so callers can process whatever was collected so far.
+        logger.error(f"[{caller}] SDK response stream terminated unexpectedly: {e}")
+        return

apps/backend/core/progress.py

@@ -115,6 +115,65 @@ def is_build_complete(spec_dir: Path) -> bool:
     return total > 0 and completed == total
 
 
+def _load_stuck_subtask_ids(spec_dir: Path) -> set[str]:
+    """Load IDs of subtasks marked as stuck from attempt_history.json."""
+    stuck_subtask_ids: set[str] = set()
+    attempt_history_file = spec_dir / "memory" / "attempt_history.json"
+    if attempt_history_file.exists():
+        try:
+            with open(attempt_history_file, encoding="utf-8") as f:
+                attempt_history = json.load(f)
+            for entry in attempt_history.get("stuck_subtasks", []):
+                if "subtask_id" in entry:
+                    stuck_subtask_ids.add(entry["subtask_id"])
+        except (OSError, json.JSONDecodeError, UnicodeDecodeError):
+            # Corrupted attempt history is non-fatal; skip stuck-subtask filtering
+            pass
+    return stuck_subtask_ids
+
+
+def is_build_ready_for_qa(spec_dir: Path) -> bool:
+    """
+    Check if the build is ready for QA validation.
+
+    Unlike is_build_complete() which requires all subtasks to be "completed",
+    this function considers the build ready when all subtasks have reached
+    a terminal state: completed, failed, or stuck (exhausted retries in attempt_history.json).
+
+    Args:
+        spec_dir: Directory containing implementation_plan.json
+
+    Returns:
+        True if all subtasks are in a terminal state, False otherwise
+    """
+    plan_file = spec_dir / "implementation_plan.json"
+    if not plan_file.exists():
+        return False
+
+    stuck_subtask_ids = _load_stuck_subtask_ids(spec_dir)
+
+    try:
+        with open(plan_file, encoding="utf-8") as f:
+            plan = json.load(f)
+
+        total = 0
+        terminal = 0
+
+        for phase in plan.get("phases", []):
+            for subtask in phase.get("subtasks", []):
+                total += 1
+                status = subtask.get("status", "pending")
+                subtask_id = subtask.get("id")
+
+                if status in ("completed", "failed") or subtask_id in stuck_subtask_ids:
+                    terminal += 1
+
+        return total > 0 and terminal == total
+
+    except (OSError, json.JSONDecodeError, UnicodeDecodeError):
+        return False
+
+
 def get_progress_percentage(spec_dir: Path) -> float:
     """
     Get the progress as a percentage.
@@ -420,22 +479,7 @@ def get_next_subtask(spec_dir: Path) -> dict | None:
     if not plan_file.exists():
         return None
 
-    # Load stuck subtasks from recovery manager's attempt history
-    stuck_subtask_ids = set()
-    attempt_history_file = spec_dir / "memory" / "attempt_history.json"
-    if attempt_history_file.exists():
-        try:
-            with open(attempt_history_file, encoding="utf-8") as f:
-                attempt_history = json.load(f)
-            # Collect IDs of subtasks marked as stuck
-            stuck_subtask_ids = {
-                entry["subtask_id"]
-                for entry in attempt_history.get("stuck_subtasks", [])
-                if "subtask_id" in entry
-            }
-        except (OSError, json.JSONDecodeError, UnicodeDecodeError):
-            # If we can't read the file, continue without stuck checking
-            pass
+    stuck_subtask_ids = _load_stuck_subtask_ids(spec_dir)
 
     try:
         with open(plan_file, encoding="utf-8") as f:
@@ -454,8 +498,11 @@ def get_next_subtask(spec_dir: Path) -> dict | None:
                 str(phase_id_raw) if phase_id_raw is not None else f"unknown:{i}"
             )
             subtasks = phase.get("subtasks", phase.get("chunks", []))
+            # Stuck subtasks count as "resolved" for phase dependency purposes.
+            # This prevents one stuck subtask from blocking all downstream phases.
             phase_complete[phase_id_key] = all(
-                s.get("status") == "completed" for s in subtasks
+                s.get("status") == "completed" or s.get("id") in stuck_subtask_ids
+                for s in subtasks
             )
 
         # Find next available subtask

apps/backend/core/workspace/dependency_strategy.py

@@ -9,9 +9,10 @@ Each dependency ecosystem has different constraints:
 - **node_modules**: Safe to symlink. Node's resolution algorithm follows symlinks
   correctly, and the directory is self-contained.
 
-- **venv / .venv**: Must be recreated. Python's ``pyvenv.cfg`` discovery walks the
-  real directory hierarchy without resolving symlinks (CPython bug #106045), so a
-  symlinked venv resolves paths relative to the *target*, not the worktree.
+- **venv / .venv**: Symlinked for fast worktree creation. CPython bug #106045
+  (pyvenv.cfg symlink resolution) does not affect typical usage (running scripts,
+  imports, pip). A health check after symlinking verifies usability; if it fails,
+  the caller falls back to recreating the venv.
 
 - **vendor (PHP)**: Safe to symlink. Composer's autoloader uses ``__DIR__``-relative
   paths that resolve correctly through symlinks.
@@ -42,9 +43,9 @@ from .models import DependencyShareConfig, DependencyStrategy
 DEFAULT_STRATEGY_MAP: dict[str, DependencyStrategy] = {
     # JavaScript / Node.js — symlink is safe and fast
     "node_modules": DependencyStrategy.SYMLINK,
-    # Python — venvs MUST be recreated (pyvenv.cfg symlink bug)
-    "venv": DependencyStrategy.RECREATE,
-    ".venv": DependencyStrategy.RECREATE,
+    # Python — symlink for fast worktree creation (health check + fallback to recreate)
+    "venv": DependencyStrategy.SYMLINK,
+    ".venv": DependencyStrategy.SYMLINK,
     # PHP — Composer vendor dir is safe to symlink
     "vendor_php": DependencyStrategy.SYMLINK,
     # Ruby — Bundler vendor/bundle is safe to symlink

apps/backend/core/workspace/models.py

@@ -278,12 +278,11 @@ class SpecNumberLock:
 class DependencyStrategy(Enum):
     """Strategy for sharing dependency directories across worktrees.
 
-    SYMLINK is fast but unsafe for certain ecosystems. Notably, Python venv
-    breaks when symlinked because CPython's pyvenv.cfg discovery walks the
-    real directory hierarchy without resolving symlinks first
-    (CPython bug #106045). This means a symlinked venv resolves its home
-    path relative to the symlink target's parent, not the worktree, causing
-    import failures and broken interpreters.
+    SYMLINK is fast and now safe for Python venvs with runtime health checks.
+    A post-symlink health check validates the venv is usable, automatically
+    falling back to RECREATE if the symlink is broken. This works around
+    CPython's pyvenv.cfg discovery issue (CPython bug #106045) while maintaining
+    fast worktree creation in the common case where symlinking succeeds.
     """
 
     SYMLINK = "symlink"  # Create a symlink to the source (fast, works for node_modules)

apps/backend/core/workspace/setup.py

@@ -50,6 +50,10 @@ _git_hook_check_done = False
 
 MODULE = "workspace.setup"
 
+# Marker file written inside a recreated venv to indicate setup completed successfully.
+# If the marker is absent, the venv is treated as incomplete and will be rebuilt.
+VENV_SETUP_COMPLETE_MARKER = ".setup_complete"
+
 
 def choose_workspace(
     project_dir: Path,
@@ -624,9 +628,52 @@ def setup_worktree_dependencies(
             results[strategy_name] = []
 
         try:
-            performed = True
+            performed = False
             if config.strategy == DependencyStrategy.SYMLINK:
                 performed = _apply_symlink_strategy(project_dir, worktree_path, config)
+                # For venvs, verify the symlink is usable — fall back to recreate
+                # Run health check whenever a venv symlink exists (not just on creation)
+                if config.dep_type in ("venv", ".venv"):
+                    venv_path = worktree_path / config.source_rel_path
+                    # Check if venv exists (symlinked or otherwise)
+                    if venv_path.exists() or venv_path.is_symlink():
+                        if is_windows():
+                            python_bin = str(venv_path / "Scripts" / "python.exe")
+                        else:
+                            python_bin = str(venv_path / "bin" / "python")
+                        try:
+                            subprocess.run(
+                                [python_bin, "-c", "import sys; print(sys.prefix)"],
+                                capture_output=True,
+                                text=True,
+                                timeout=10,
+                                check=True,
+                            )
+                            debug(
+                                MODULE,
+                                f"Symlinked venv health check passed: {config.source_rel_path}",
+                            )
+                        except (subprocess.SubprocessError, OSError):
+                            debug_warning(
+                                MODULE,
+                                f"Symlinked venv health check failed, falling back to recreate: {config.source_rel_path}",
+                            )
+                            # Remove the broken symlink and recreate
+                            try:
+                                if venv_path.is_symlink():
+                                    venv_path.unlink()
+                                elif venv_path.exists():
+                                    shutil.rmtree(venv_path, ignore_errors=True)
+                            except OSError:
+                                pass  # Best-effort removal; recreate strategy handles existing paths
+                            performed = _apply_recreate_strategy(
+                                project_dir, worktree_path, config
+                            )
+                            # Update strategy name to reflect fallback
+                            if performed:
+                                strategy_name = "recreate"
+                                # Ensure the key exists for the fallback strategy
+                                results.setdefault(strategy_name, [])
             elif config.strategy == DependencyStrategy.RECREATE:
                 performed = _apply_recreate_strategy(project_dir, worktree_path, config)
             elif config.strategy == DependencyStrategy.COPY:
@@ -707,6 +754,54 @@ def _apply_symlink_strategy(
         return False
 
 
+def _popen_with_cleanup(
+    cmd: list[str],
+    timeout: int,
+    label: str,
+) -> tuple[int, str, str]:
+    """Run a command via Popen with proper process cleanup on timeout.
+
+    On timeout: terminate → wait(10) → kill → wait(5) to ensure file locks
+    are released before any cleanup (e.g. shutil.rmtree).
+
+    Returns (returncode, stdout, stderr).
+    Raises subprocess.TimeoutExpired if the command exceeds the given timeout (after cleanup is attempted).
+    """
+    proc = subprocess.Popen(
+        cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+    )
+    try:
+        stdout, stderr = proc.communicate(timeout=timeout)
+        return proc.returncode, stdout, stderr
+    except subprocess.TimeoutExpired:
+        debug_warning(MODULE, f"{label} timed out, terminating process")
+        proc.terminate()
+        try:
+            proc.communicate(timeout=10)
+        except subprocess.TimeoutExpired:
+            debug_warning(MODULE, f"{label} did not terminate, killing process")
+            proc.kill()
+            try:
+                proc.communicate(timeout=5)
+            except subprocess.TimeoutExpired:
+                # Final cleanup attempt if kill() also hangs
+                debug_warning(MODULE, f"{label} could not be stopped even after kill()")
+        raise
+    finally:
+        # Ensure pipes are closed and process is reaped to avoid zombie processes
+        if proc.stdout:
+            proc.stdout.close()
+        if proc.stderr:
+            proc.stderr.close()
+        try:
+            proc.wait(timeout=0.1)
+        except subprocess.TimeoutExpired:
+            pass  # Process still running, already logged warning above
+
+
 def _apply_recreate_strategy(
     project_dir: Path,
     worktree_path: Path,
@@ -717,10 +812,25 @@ def _apply_recreate_strategy(
     Returns True if the venv was successfully created, False if skipped or failed.
     """
     venv_path = worktree_path / config.source_rel_path
+    marker_path = venv_path / VENV_SETUP_COMPLETE_MARKER
 
-    if venv_path.exists():
-        debug(MODULE, f"Skipping recreate {config.source_rel_path} - already exists")
-        return False
+    # Check for broken symlinks that exists() would miss
+    if venv_path.is_symlink() and not venv_path.exists():
+        debug(MODULE, f"Removing broken symlink at {config.source_rel_path}")
+        try:
+            venv_path.unlink()
+        except OSError:
+            pass  # Best-effort removal
+    elif venv_path.exists():
+        if marker_path.exists():
+            debug(
+                MODULE,
+                f"Skipping recreate {config.source_rel_path} - already complete (marker present)",
+            )
+            return False
+        # Venv exists but marker is missing — incomplete, remove and rebuild
+        debug(MODULE, f"Removing incomplete venv {config.source_rel_path} (no marker)")
+        shutil.rmtree(venv_path, ignore_errors=True)
 
     # Detect Python executable from the source venv or fall back to sys.executable
     source_venv = project_dir / config.source_rel_path
@@ -737,29 +847,34 @@ def _apply_recreate_strategy(
     # Create the venv
     try:
         debug(MODULE, f"Creating venv at {venv_path}")
-        result = subprocess.run(
+        returncode, _, stderr = _popen_with_cleanup(
             [python_exec, "-m", "venv", str(venv_path)],
-            capture_output=True,
-            text=True,
             timeout=120,
+            label=f"venv creation ({config.source_rel_path})",
         )
-        if result.returncode != 0:
-            debug_warning(MODULE, f"venv creation failed: {result.stderr}")
+        if returncode != 0:
+            debug_warning(MODULE, f"venv creation failed: {stderr}")
             print_status(
                 f"Warning: Could not create venv at {config.source_rel_path}",
                 "warning",
             )
-            # Clean up partial venv so retries aren't blocked
             if venv_path.exists():
                 shutil.rmtree(venv_path, ignore_errors=True)
             return False
     except subprocess.TimeoutExpired:
-        debug_warning(MODULE, f"venv creation timed out for {config.source_rel_path}")
         print_status(
             f"Warning: venv creation timed out for {config.source_rel_path}",
             "warning",
         )
-        # Clean up partial venv so retries aren't blocked
+        if venv_path.exists():
+            shutil.rmtree(venv_path, ignore_errors=True)
+        return False
+    except OSError as e:
+        debug_warning(MODULE, f"venv creation failed: {e}")
+        print_status(
+            f"Warning: Could not create venv at {config.source_rel_path}",
+            "warning",
+        )
         if venv_path.exists():
             shutil.rmtree(venv_path, ignore_errors=True)
         return False
@@ -800,46 +915,45 @@ def _apply_recreate_strategy(
             if install_cmd:
                 try:
                     debug(MODULE, f"Installing deps from {req_file}")
-                    pip_result = subprocess.run(
+                    returncode, _, stderr = _popen_with_cleanup(
                         install_cmd,
-                        capture_output=True,
-                        text=True,
-                        timeout=120,
+                        timeout=300,
+                        label=f"pip install ({req_file})",
                     )
-                    if pip_result.returncode != 0:
+                    if returncode != 0:
                         debug_warning(
                             MODULE,
-                            f"pip install failed (exit {pip_result.returncode}): "
-                            f"{pip_result.stderr}",
+                            f"pip install failed (exit {returncode}): {stderr}",
                         )
                         print_status(
                             f"Warning: Dependency install failed for {req_file}",
                             "warning",
                         )
-                        # Clean up broken venv so retries aren't blocked
                         if venv_path.exists():
                             shutil.rmtree(venv_path, ignore_errors=True)
                         return False
                 except subprocess.TimeoutExpired:
-                    debug_warning(
-                        MODULE,
-                        f"pip install timed out for {req_file}",
-                    )
                     print_status(
                         f"Warning: Dependency install timed out for {req_file}",
                         "warning",
                     )
-                    # Clean up broken venv so retries aren't blocked
                     if venv_path.exists():
                         shutil.rmtree(venv_path, ignore_errors=True)
                     return False
                 except OSError as e:
                     debug_warning(MODULE, f"pip install failed: {e}")
-                    # Clean up broken venv so retries aren't blocked
                     if venv_path.exists():
                         shutil.rmtree(venv_path, ignore_errors=True)
                     return False
 
+    # Write completion marker so future runs know this venv is complete
+    try:
+        marker_path.touch()
+    except OSError as e:
+        debug_warning(
+            MODULE, f"Failed to write completion marker at {marker_path}: {e}"
+        )
+
     debug(MODULE, f"Recreated venv at {config.source_rel_path}")
     return True
 

apps/backend/core/worktree.py

@@ -1211,6 +1211,9 @@ class WorktreeManager:
             )
 
         target = target_branch or self.base_branch
+        # Strip remote prefix (e.g., "origin/feat/x" → "feat/x") since gh expects branch names only
+        if target.startswith("origin/"):
+            target = target[len("origin/") :]
         pr_title = title or f"auto-claude: {spec_name}"
 
         # Try AI-powered PR body from project's PR template, fall back to spec summary
@@ -1381,6 +1384,9 @@ class WorktreeManager:
             )
 
         target = target_branch or self.base_branch
+        # Strip remote prefix (e.g., "origin/feat/x" → "feat/x") since glab expects branch names only
+        if target.startswith("origin/"):
+            target = target[len("origin/") :]
         mr_title = title or f"auto-claude: {spec_name}"
 
         # Get MR body from spec.md if available

apps/backend/integrations/graphiti/config.py

@@ -635,10 +635,20 @@ def get_graphiti_status() -> dict:
     try:
         # Attempt to import the main graphiti_memory module
         import graphiti_core  # noqa: F401
-        from graphiti_core.driver.falkordb_driver import FalkorDriver  # noqa: F401
 
-        # If we got here, packages are importable
-        status["available"] = True  # pragma: no cover
+        # Try LadybugDB first (preferred for Python 3.12+), fall back to kuzu
+        try:
+            import real_ladybug  # noqa: F401
+        except ImportError:
+            try:
+                import kuzu  # noqa: F401
+            except ImportError:
+                status["available"] = False
+                status["reason"] = (
+                    "Graph database backend not installed (need real_ladybug or kuzu)"
+                )
+                return status
+        status["available"] = True
     except ImportError as e:
         status["available"] = False
         status["reason"] = f"Graphiti packages not installed: {e}"

apps/backend/integrations/graphiti/tests/conftest.py

@@ -81,16 +81,16 @@ def mock_graphiti_core():
 
 
 @pytest.fixture
-def mock_falkor_driver():
-    """Mock graphiti_core.driver.falkordb_driver.FalkorDriver.
+def mock_kuzu_driver():
+    """Mock graphiti_core.driver.kuzu_driver.KuzuDriver.
 
-    Prevents actual FalkorDB connections during tests.
+    Prevents actual LadybugDB/kuzu connections during tests.
 
     Yields:
         tuple: (mock_driver_class, mock_driver_instance)
     """
     with patch(
-        "integrations.graphiti.queries_pkg.graphiti.graphiti_core.driver.falkordb_driver.FalkorDriver"
+        "integrations.graphiti.queries_pkg.graphiti.graphiti_core.driver.kuzu_driver.KuzuDriver"
     ) as mock_driver:
         mock_instance = MagicMock()
         mock_driver.return_value = mock_instance

apps/backend/integrations/graphiti/tests/test_config.py

@@ -15,7 +15,7 @@ Tests cover:
 import json
 import os
 from pathlib import Path
-from unittest.mock import patch
+from unittest.mock import MagicMock, patch
 
 import pytest
 from integrations.graphiti.config import (
@@ -1054,20 +1054,48 @@ class TestModuleLevelFunctions:
         assert "OPENAI_API_KEY" in status["errors"][0]
 
     def test_get_graphiti_status_invalid_config_sets_reason(self, clean_env):
-        """Test get_graphiti_status sets reason when config is invalid.
+        """Test get_graphiti_status with validation errors (embedder misconfigured).
 
-        This tests lines 628-629 where the reason is set from validation errors.
+        When packages are installed but embedder config has errors, available should
+        still be True (embedder is optional - keyword search fallback exists).
+        Validation errors are reported in the errors list for informational purposes.
         """
         os.environ["GRAPHITI_ENABLED"] = "true"
         os.environ["GRAPHITI_EMBEDDER_PROVIDER"] = "voyage"
 
-        status = get_graphiti_status()
+        # Mock imports to ensure test is independent of environment
+        with patch.dict(
+            "sys.modules",
+            {"graphiti_core": MagicMock(), "real_ladybug": MagicMock()},
+        ):
+            status = get_graphiti_status()
+
+        assert status["enabled"] is True
+        # available depends on whether mocked packages are resolved correctly;
+        # sys.modules patching should make imports succeed, but guard against
+        # environment quirks (consistent with test_get_graphiti_status_enabled)
+        assert status["available"] is True
+        assert len(status["errors"]) > 0
+        assert "VOYAGE_API_KEY" in status["errors"][0]
+
+    def test_get_graphiti_status_no_graph_backend(self, clean_env):
+        """Test get_graphiti_status when graphiti_core exists but no graph DB backend.
+
+        This tests the error path in config.py lines 645-650 where graphiti_core
+        imports successfully but neither real_ladybug nor kuzu is available.
+        """
+        os.environ["GRAPHITI_ENABLED"] = "true"
+
+        # Mock graphiti_core as present, but ensure real_ladybug and kuzu are absent
+        with patch.dict(
+            "sys.modules",
+            {"graphiti_core": MagicMock(), "real_ladybug": None, "kuzu": None},
+        ):
+            status = get_graphiti_status()
 
         assert status["enabled"] is True
         assert status["available"] is False
-        # When config is invalid, reason should be set from errors
-        assert status["reason"] != ""
-        assert len(status["errors"]) > 0
+        assert "real_ladybug or kuzu" in status["reason"]
 
     @pytest.mark.slow
     def test_get_graphiti_status_with_graphiti_installed(self, clean_env):
@@ -1089,9 +1117,9 @@ class TestModuleLevelFunctions:
         assert "reason" in status
         assert "errors" in status
 
-        # Note: Line 641 (status["available"] = True) requires falkordb to be installed.
-        # Since falkordb is not installed in the test environment, that line is marked
-        # with pragma: no cover. The except clause (lines 642-644) is tested here.
+        # Note: Line 644 (status["available"] = True) requires LadybugDB/kuzu to be installed.
+        # Since LadybugDB/kuzu may not be installed in all test environments, that line
+        # may be marked with pragma: no cover. The except clause is tested here.
 
     def test_get_available_providers_empty(self, clean_env):
         """Test get_available_providers with no credentials."""

apps/backend/integrations/graphiti/tests/test_memory.py

@@ -264,7 +264,7 @@ class TestTestGraphitiConnection:
 
             # Mock graphiti_core imports to succeed
             mock_graphiti = MagicMock()
-            mock_falkordb_driver = MagicMock()
+            mock_kuzu_driver = MagicMock()
 
             # Mock provider creation to raise ProviderError
             with patch("graphiti_providers.create_llm_client") as mock_create_llm:
@@ -275,7 +275,7 @@ class TestTestGraphitiConnection:
                     {
                         "graphiti_core": MagicMock(Graphiti=mock_graphiti),
                         "graphiti_core.driver": MagicMock(),
-                        "graphiti_core.driver.falkordb_driver": mock_falkordb_driver,
+                        "graphiti_core.driver.kuzu_driver": mock_kuzu_driver,
                         "graphiti_providers": MagicMock(
                             ProviderError=ProviderError,
                             create_embedder=MagicMock(),

apps/backend/integrations/graphiti/tests/test_memory_facade.py

@@ -160,7 +160,7 @@ class TestTestGraphitiConnection:
     """Tests for the test_graphiti_connection async function.
 
     Note: The function now uses embedded LadybugDB via patched KuzuDriver
-    instead of remote FalkorDB with host/port credentials.
+    instead of remote database with host/port credentials.
     """
 
     @pytest.mark.asyncio

apps/backend/progress.py

@@ -14,6 +14,7 @@ from core.progress import (
     get_plan_summary,
     get_progress_percentage,
     is_build_complete,
+    is_build_ready_for_qa,
     print_build_complete_banner,
     print_paused_banner,
     print_progress_summary,
@@ -29,6 +30,7 @@ __all__ = [
     "get_plan_summary",
     "get_progress_percentage",
     "is_build_complete",
+    "is_build_ready_for_qa",
     "print_build_complete_banner",
     "print_paused_banner",
     "print_progress_summary",

apps/backend/prompts/github/investigation_fix_advice.md

@@ -1,100 +0,0 @@
-<role>
-You are a fix strategy specialist. You have been spawned to provide concrete, actionable fix approaches for a reported GitHub issue.
-</role>
-
-<mission>
-Analyze the codebase and provide concrete fix approaches with specific files to modify, pros/cons for each approach, and a recommended solution that follows existing codebase patterns.
-</mission>
-
-<available_context>
-The issue context below includes:
-- Issue title, description, labels, and comments
-- Recent git commits (last 20 commits) - use these to understand recent changes and patterns
-</available_context>
-
-<root_context_integration>
-If a "Root Cause Analysis" section is provided below the issue context, use it as the foundation for your fix approaches. The root cause agent has already identified the exact code location and cause — your job is to design fix strategies that address that specific root cause.
-
-This means you can skip Step 1 (understanding the problem space) when root cause context is available, and instead focus on designing fixes that target the identified code paths.
-</root_context_integration>
-
-<investigation_process>
-
-<step_1>
-<title>Understand the Problem Space</title>
-- Read the issue description to understand what needs fixing
-- Use Grep and Glob to locate the relevant code
-- Read the affected files to understand the current implementation
-</step_1>
-
-<step_2>
-<title>Study Existing Patterns</title>
-- Search for similar patterns in the codebase using Grep
-- Look at how related features or modules handle similar logic
-- Identify coding conventions (naming, error handling, state management)
-- Note any utility functions or shared abstractions that should be reused
-</step_2>
-
-<step_3>
-<title>Design Fix Approaches</title>
-For each approach, specify:
-- What to change: Exact files and the nature of the modification
-- Complexity: simple (< 1 hour), moderate (1-4 hours), complex (> 4 hours)
-- Pros: Why this approach is good
-- Cons: Risks or downsides of this approach
-
-Provide at least 2 approaches when possible:
-1. The minimal fix - smallest change that resolves the issue
-2. The proper fix - addresses underlying design issues if applicable
-</step_3>
-
-<step_4>
-<title>Identify Files to Modify</title>
-- List ALL files that need changes across all approaches
-- Include test files that need updating
-- Include configuration or schema files if relevant
-</step_4>
-
-<step_5>
-<title>Document Gotchas</title>
-- Identify edge cases the fix must handle
-- Note platform-specific concerns (Windows/macOS/Linux)
-- Flag any migration or backward compatibility considerations
-- Warn about tightly coupled code that could break
-</step_5>
-
-</investigation_process>
-
-<pattern_discovery>
-When exploring the codebase for patterns, look for:
-- How similar bugs were fixed in the past (git log, related files)
-- Existing utility functions that could be reused
-- Framework-level patterns (e.g., error handling middleware, validation layers)
-- Test patterns for the affected module
-</pattern_discovery>
-
-<evidence_requirements>
-Every fix approach MUST include:
-1. Specific file paths - Not "the auth module" but "src/auth/login.ts"
-2. Nature of change - What code to add, modify, or remove
-3. Pattern references - Links to existing code that demonstrates the approach
-4. Complexity assessment - Realistic effort estimate
-</evidence_requirements>
-
-<constraints>
-- Do not provide vague advice like "improve error handling"
-- Do not suggest rewriting large portions of code unless necessary
-- Do not ignore existing patterns in favor of "better" approaches
-- Do not recommend approaches that conflict with the project's architecture
-- Do not assess impact or severity (that is the Impact Assessor's job)
-- Do not analyze root cause (that is the Root Cause Analyzer's job)
-</constraints>
-
-<output_format>
-Provide your analysis as structured output with:
-- approaches: List of fix approaches ordered by recommendation
-- recommended_approach: Index of the recommended approach
-- files_to_modify: All files that need modification across all approaches
-- patterns_to_follow: Existing codebase patterns the fix should follow
-- gotchas: Potential pitfalls when implementing the fix
-</output_format>

apps/backend/prompts/github/investigation_impact.md

@@ -1,89 +0,0 @@
-<role>
-You are an impact assessment specialist. You have been spawned to evaluate the blast radius and severity of a reported GitHub issue.
-</role>
-
-<mission>
-Assess how far-reaching the reported issue is: which components are affected, how users are impacted, and what risks exist if the issue is fixed incorrectly.
-</mission>
-
-<available_context>
-The issue context below includes:
-- Issue title, description, labels, and comments
-- Recent git commits (last 20 commits) - use these to identify recent changes that may affect impact assessment
-</available_context>
-
-<root_context_integration>
-If a "Root Cause Analysis" section is provided below the issue context, use it as the starting point for your impact assessment. The root cause agent has already identified the problematic code — your job is to trace outward from those code paths to determine blast radius and severity.
-
-This means you can skip Steps 1-2 (identifying affected code) when root cause context is available, and instead focus on mapping dependencies outward from the identified code paths.
-</root_context_integration>
-
-<investigation_process>
-
-<step_1>
-<title>Identify Affected Code</title>
-- Use Grep to find all references to the functions/modules mentioned in the issue
-- Use Glob to find related files by naming patterns
-- Read each affected file to understand its role
-</step_1>
-
-<step_2>
-<title>Map the Dependency Graph</title>
-- Trace imports and call chains from the affected code outward
-- Identify which features, views, or API endpoints depend on the buggy code
-- Categorize each affected component as:
-  - direct - Code that directly uses the buggy function/module
-  - indirect - Code that depends on code that uses the buggy code
-  - dependency - External consumers or downstream systems affected
-</step_2>
-
-<step_3>
-<title>Assess User Impact</title>
-- Determine which user-facing features are affected
-- Evaluate if data integrity is at risk
-- Check if the issue causes crashes, data loss, or security exposure
-- Consider the frequency: does this affect all users or edge cases only?
-</step_3>
-
-<step_4>
-<title>Evaluate Severity</title>
-- critical - Data loss, security vulnerability, system crash for most users
-- high - Major feature broken, significant workflow disruption
-- medium - Feature partially broken, workaround exists
-- low - Minor inconvenience, cosmetic issue, edge case only
-</step_4>
-
-<step_5>
-<title>Assess Regression Risk</title>
-- Identify what could break if the issue is fixed
-- Look for tightly coupled code that might be affected by a fix
-- Check if the affected code has test coverage
-- Evaluate whether a fix could introduce new issues
-</step_5>
-
-</investigation_process>
-
-<evidence_requirements>
-Every impact assessment MUST include:
-1. File paths - Exact locations of affected components
-2. Component names - Clear identification of what is affected
-3. Impact type classification - direct/indirect/dependency for each component
-4. User-facing description - How end users experience the problem
-</evidence_requirements>
-
-<constraints>
-- Do not identify the root cause (that is the Root Cause Analyzer's job)
-- Do not suggest fixes (that is the Fix Advisor's job)
-- Do not speculate about impact without reading the actual code
-- Do not inflate severity; be objective and evidence-based
-- Do not report components as affected unless you verified the dependency
-</constraints>
-
-<output_format>
-Provide your analysis as structured output with:
-- severity: Overall severity (critical/high/medium/low)
-- affected_components: List of affected components with file paths and impact types
-- blast_radius: Description of how far-reaching the impact is
-- user_impact: How end users are affected
-- regression_risk: Risk assessment for potential fixes
-</output_format>

apps/backend/prompts/github/investigation_reproduction.md

@@ -1,80 +0,0 @@
-<role>
-You are a reproduction and testing specialist. You have been spawned to determine if a reported GitHub issue is reproducible and assess the test coverage of the affected code.
-</role>
-
-<mission>
-Determine whether the issue can be reproduced, document reproduction steps, assess existing test coverage for the affected code paths, and suggest how to write a test that verifies the fix.
-</mission>
-
-<available_context>
-The issue context below includes:
-- Issue title, description, labels, and comments
-- Recent git commits (last 20 commits) - use these to check if tests were recently added or modified
-</available_context>
-
-<investigation_process>
-
-<step_1>
-<title>Analyze Reproducibility</title>
-- Read the issue description for any reproduction steps provided
-- Identify the conditions under which the bug manifests
-- Determine if the issue depends on specific state, timing, or environment
-- Classify reproducibility:
-  - yes - Clear, deterministic steps to reproduce
-  - likely - High probability of reproduction with the right conditions
-  - unlikely - Depends on rare conditions or timing
-  - no - Cannot be reproduced (e.g., already fixed, environment-specific)
-</step_1>
-
-<step_2>
-<title>Document Reproduction Steps</title>
-- Write clear, numbered steps from a clean starting state
-- Include any required configuration or environment setup
-- Specify expected vs actual behavior at each step
-- Note any prerequisites (specific data, user state, feature flags)
-</step_2>
-
-<step_3>
-<title>Assess Test Coverage</title>
-- Use Glob to find test files related to the affected code
-  - Common patterns: *test*, *spec*, __tests__/, tests/
-- Read the test files to understand what is covered
-- Identify gaps: which code paths lack tests?
-- Check if the specific scenario described in the issue is tested
-</step_3>
-
-<step_4>
-<title>Suggest Test Approach</title>
-- Recommend what type of test to write (unit, integration, e2e)
-- Describe what the test should verify
-- Reference existing test patterns in the codebase
-- Include any mocking or setup requirements
-</step_4>
-
-</investigation_process>
-
-<evidence_requirements>
-Every reproduction analysis MUST include:
-1. Test file paths - Existing test files for the affected code
-2. Coverage assessment - What is tested and what is not
-3. Concrete reproduction steps - Not vague descriptions
-4. Test approach - Specific enough for a developer to implement
-</evidence_requirements>
-
-<constraints>
-- Do not write the actual test code (just describe the approach)
-- Do not identify the root cause (that is the Root Cause Analyzer's job)
-- Do not suggest fixes (that is the Fix Advisor's job)
-- Do not assess impact (that is the Impact Assessor's job)
-- Do not claim an issue is unreproducible without checking the code
-- Do not list test files you haven't actually read
-</constraints>
-
-<output_format>
-Provide your analysis as structured output with:
-- reproducible: Whether the issue can be reproduced (yes/likely/unlikely/no)
-- reproduction_steps: Numbered steps to reproduce the issue
-- test_coverage: Assessment of existing test coverage (has_existing_tests, test_files, coverage_assessment)
-- related_test_files: Test files related to the affected code
-- suggested_test_approach: How to write a test that verifies the fix
-</output_format>

apps/backend/prompts/github/investigation_root_cause.md

@@ -1,114 +0,0 @@
-<role>
-You are a root cause analysis specialist. You have been spawned to trace the source of a bug or issue reported in a GitHub issue.
-</role>
-
-<mission>
-Identify the root cause of the reported issue by tracing through the codebase. Find the exact code path from entry point to the underlying problem.
-</mission>
-
-<available_context>
-The issue context below includes:
-- Issue title, description, labels, and comments
-- Recent git commits (last 20 commits) - USE THESE to identify recent changes that may have introduced the bug
-</available_context>
-
-<image_analysis>
-If the issue context includes an "Images" section with screenshot URLs:
-- Treat these as PRIMARY EVIDENCE - screenshots often show the actual bug manifestation
-- Use image URLs to understand visual bugs, UI issues, error messages, or crash screens
-- When the issue description is vague but screenshots are provided, prioritize the visual evidence
-- Describe what you see in the images in your evidence section (e.g., "Screenshot shows X component displaying incorrectly")
-- If the screenshot shows an error message, trace that error in the codebase
-</image_analysis>
-
-<investigation_process>
-
-<step_1>
-<title>Understand the Issue</title>
-- Check the Images section first - screenshots may show the actual bug
-- Read the issue title and description carefully
-- Identify the reported symptoms (error messages, unexpected behavior, crashes)
-- Note any file paths, stack traces, or code references mentioned
-- If screenshots are provided, describe the visual evidence you observe
-</step_1>
-
-<step_2>
-<title>Review Recent Commits</title>
-- Check the Recent Commits section in the issue context
-- Look for commits that modified files related to the issue
-- Identify recent changes that might have introduced the bug
-- If a commit message mentions the issue or related symptoms, investigate that commit first
-</step_2>
-
-<step_3>
-<title>Locate Entry Points</title>
-- Use Grep to find relevant functions, classes, or files mentioned in the issue
-- Identify the user-facing entry point where the problem manifests
-- Read the entry point code with surrounding context
-</step_3>
-
-<step_4>
-<title>Trace the Code Path</title>
-- Follow the execution flow from the entry point inward
-- Use Grep to find function definitions, callers, and imports
-- Read each file in the chain to understand data flow
-- Identify where the logic diverges from expected behavior
-</step_4>
-
-<step_5>
-<title>Identify the Root Cause</title>
-- Pinpoint the exact code location where the bug originates
-- Distinguish between the symptom (where the error appears) and the cause (where the logic is wrong)
-- Check if the issue is in recently changed code or a pre-existing problem
-- Cross-reference with recent commits - did a recent change introduce this issue?
-</step_5>
-
-<step_6>
-<title>Check If Already Fixed</title>
-- Search for recent changes to the affected files using git log or git show
-- Look for commits that might have addressed this issue
-- Check if the problematic code pattern still exists in the current codebase
-</step_6>
-
-</investigation_process>
-
-<evidence_requirements>
-Every root cause identification MUST include:
-1. File paths and line numbers - Exact locations in the codebase
-2. Code snippets - Copy-paste the actual problematic code (not descriptions)
-3. Execution trace - How the code flows from entry point to the bug
-4. Confidence level - How certain you are about the root cause
-</evidence_requirements>
-
-<confidence_levels>
-- high - You found the exact code causing the issue, verified with code evidence
-- medium - You identified a likely cause but could not fully verify (e.g., depends on runtime state)
-- low - You found a plausible explanation but other causes are equally likely
-</confidence_levels>
-
-<constraints>
-- Do not speculate without reading the actual code
-- Do not report multiple unrelated potential causes; identify the MOST LIKELY one
-- Do not suggest fixes (that is the Fix Advisor's job)
-- Do not assess impact (that is the Impact Assessor's job)
-- Do not explore code paths unrelated to the reported issue
-</constraints>
-
-<depth_requirements>
-- You MUST trace at least 3 levels deep in the call chain (entry point → intermediate → root cause location) before concluding
-- You MUST explore at least 2 competing hypotheses before settling on a root cause — read both code paths and explain why one is more likely
-- Do NOT conclude with "medium" or "low" confidence if you still have unexplored code paths you could Read or Grep
-- If the issue mentions a UI behavior, trace it from the React component through the store, IPC handler, and into the backend
-- If you find the likely cause early, keep investigating to VERIFY it — read callers, check edge cases, look for related patterns
-- Use your full tool budget. Read more files, run more greps. Thoroughness is more valuable than speed for root cause analysis
-</depth_requirements>
-
-<output_format>
-Provide your analysis as structured output with:
-- identified_root_cause: Clear description of what causes the issue
-- code_paths: Ordered list of code locations from entry point to root cause
-- confidence: Your confidence level (high/medium/low)
-- evidence: Code snippets and traces supporting your analysis
-- related_issues: Known issue patterns this matches (e.g., "race condition", "null reference")
-- likely_already_fixed: True if evidence suggests the issue is already resolved
-</output_format>

apps/backend/prompts/spec_writer.md

@@ -24,7 +24,7 @@ You MUST create `spec.md` with ALL required sections (see template below).
 ## PHASE 0: LOAD ALL CONTEXT (MANDATORY)
 
 ```bash
-# Read all input files
+# Read all input files (some may not exist for greenfield/empty projects)
 cat project_index.json
 cat requirements.json
 cat context.json
@@ -35,6 +35,12 @@ Extract from these files:
 - **From requirements.json**: Task description, workflow type, services, acceptance criteria
 - **From context.json**: Files to modify, files to reference, patterns
 
+**IMPORTANT**: If any input file is missing, empty, or shows 0 files, this is likely a **greenfield/new project**. Adapt accordingly:
+- Skip sections that reference existing code (e.g., "Files to Modify", "Patterns to Follow")
+- Instead, focus on files to CREATE and the initial project structure
+- Define the tech stack, dependencies, and setup instructions from scratch
+- Use industry best practices as patterns rather than referencing existing code
+
 ---
 
 ## PHASE 1: ANALYZE CONTEXT

apps/backend/qa/criteria.py

@@ -8,7 +8,7 @@ Manages acceptance criteria validation and status tracking.
 import json
 from pathlib import Path
 
-from progress import is_build_complete
+from progress import is_build_ready_for_qa
 
 # =============================================================================
 # IMPLEMENTATION PLAN I/O
@@ -95,10 +95,10 @@ def should_run_qa(spec_dir: Path) -> bool:
     Determine if QA validation should run.
 
     QA should run when:
-    - All subtasks are completed
+    - All subtasks have reached a terminal state (completed, failed, or stuck)
     - QA has not yet approved
     """
-    if not is_build_complete(spec_dir):
+    if not is_build_ready_for_qa(spec_dir):
         return False
 
     if is_qa_approved(spec_dir):

apps/backend/qa/fixer.py

@@ -13,10 +13,13 @@ from pathlib import Path
 
 # Memory integration for cross-session learning
 from agents.base import sanitize_error_message
-from agents.investigation_context import load_investigation_context
 from agents.memory_manager import get_graphiti_context, save_session_memory
 from claude_agent_sdk import ClaudeSDKClient
-from core.error_utils import is_rate_limit_error, is_tool_concurrency_error
+from core.error_utils import (
+    is_rate_limit_error,
+    is_tool_concurrency_error,
+    safe_receive_messages,
+)
 from debug import debug, debug_detailed, debug_error, debug_section, debug_success
 from security.tool_input_validator import get_safe_tool_input
 from task_logger import (
@@ -128,39 +131,6 @@ async def run_qa_fixer_session(
         print("✓ Memory context loaded for QA fixer")
         debug_success("qa_fixer", "Graphiti memory context loaded for fixer")
 
-    # Load investigation context for GitHub-sourced tasks
-    investigation_context = load_investigation_context(spec_dir)
-    if investigation_context:
-        # Format investigation context for the fixer
-        inv = investigation_context
-        inv_prompt = "\n## Investigation Context\n\n"
-        inv_prompt += "The original investigation identified:\n\n"
-
-        if inv.get("root_cause", {}).get("summary"):
-            inv_prompt += f"- **Root cause**: {inv['root_cause']['summary']}\n"
-
-        if inv.get("reproducer"):
-            inv_prompt += f"- **Reproducer**: {inv['reproducer']}\n"
-
-        if inv.get("fix_approaches"):
-            inv_prompt += "\n**Recommended fix approaches:**\n"
-            for i, approach in enumerate(inv["fix_approaches"][:3], 1):
-                inv_prompt += f"{i}. {approach.get('name', 'Approach')}: "
-                if approach.get("description"):
-                    inv_prompt += approach["description"]
-                inv_prompt += "\n"
-
-        inv_prompt += (
-            "\n**Guidance**: Ensure your fix actually addresses these findings. "
-        )
-        inv_prompt += (
-            "Don't just make the QA errors go away — fix the underlying issue.\n"
-        )
-
-        prompt += inv_prompt
-        print("✓ Investigation context loaded for QA fixer")
-        debug_success("qa_fixer", "Investigation context loaded for fixer")
-
     # Add session context - use full path so agent can find files
     prompt += f"\n\n---\n\n**Fix Session**: {fix_session}\n"
     prompt += f"**Spec Directory**: {spec_dir}\n"
@@ -175,7 +145,7 @@ async def run_qa_fixer_session(
 
         response_text = ""
         debug("qa_fixer", "Starting to receive response stream...")
-        async for msg in client.receive_response():
+        async for msg in safe_receive_messages(client, caller="qa_fixer"):
             msg_type = type(msg).__name__
             message_count += 1
             debug_detailed(

apps/backend/qa/loop.py

@@ -28,7 +28,7 @@ from phase_config import (
     get_phase_model_betas,
 )
 from phase_event import ExecutionPhase, emit_phase
-from progress import count_subtasks, is_build_complete
+from progress import count_subtasks, is_build_ready_for_qa
 from security.constants import PROJECT_DIR_ENV_VAR
 from task_logger import (
     LogPhase,
@@ -114,14 +114,25 @@ async def run_qa_validation_loop(
     # Initialize task logger for the validation phase
     task_logger = get_task_logger(spec_dir)
 
-    # Verify build is complete
-    if not is_build_complete(spec_dir):
-        debug_warning("qa_loop", "Build is not complete, cannot run QA")
-        print("\n❌ Build is not complete. Cannot run QA validation.")
-        completed, total = count_subtasks(spec_dir)
-        debug("qa_loop", "Build progress", completed=completed, total=total)
-        print(f"   Progress: {completed}/{total} subtasks completed")
-        return False
+    # Check if there's pending human feedback that needs to be processed
+    fix_request_file = spec_dir / "QA_FIX_REQUEST.md"
+    has_human_feedback = fix_request_file.exists()
+
+    # Human feedback takes priority — if the user explicitly asked to proceed,
+    # skip the build completeness gate entirely
+    if not has_human_feedback:
+        # Verify build is ready for QA (all subtasks in terminal state)
+        if not is_build_ready_for_qa(spec_dir):
+            debug_warning(
+                "qa_loop", "Build is not ready for QA - subtasks still in progress"
+            )
+            print("\n❌ Build is not ready for QA validation.")
+            completed, total = count_subtasks(spec_dir)
+            debug("qa_loop", "Build progress", completed=completed, total=total)
+            print(
+                f"   Progress: {completed}/{total} subtasks in terminal state (completed/failed/stuck)"
+            )
+            return False
 
     # Emit phase event at start of QA validation (before any early returns)
     emit_phase(ExecutionPhase.QA_REVIEW, "Starting QA validation")
@@ -136,10 +147,6 @@ async def run_qa_validation_loop(
         f"[Fast Mode] {'ENABLED' if fast_mode else 'disabled'} for QA validation",
     )
 
-    # Check if there's pending human feedback that needs to be processed
-    fix_request_file = spec_dir / "QA_FIX_REQUEST.md"
-    has_human_feedback = fix_request_file.exists()
-
     # Check if already approved - but if there's human feedback, we need to process it first
     if is_qa_approved(spec_dir) and not has_human_feedback:
         debug_success("qa_loop", "Build already approved by QA")

apps/backend/qa/reviewer.py

@@ -8,20 +8,19 @@ acceptance criteria.
 Memory Integration:
 - Retrieves past patterns, gotchas, and insights before QA session
 - Saves QA findings (bugs, patterns, validation outcomes) after session
-
-Investigation Integration:
-- Loads GitHub investigation context for issue-based validation
 """
 
-import json
 from pathlib import Path
 
 # Memory integration for cross-session learning
 from agents.base import sanitize_error_message
-from agents.investigation_context import load_investigation_for_qa
 from agents.memory_manager import get_graphiti_context, save_session_memory
 from claude_agent_sdk import ClaudeSDKClient
-from core.error_utils import is_rate_limit_error, is_tool_concurrency_error
+from core.error_utils import (
+    is_rate_limit_error,
+    is_tool_concurrency_error,
+    safe_receive_messages,
+)
 from debug import debug, debug_detailed, debug_error, debug_section, debug_success
 from prompts_pkg import get_qa_reviewer_prompt
 from security.tool_input_validator import get_safe_tool_input
@@ -112,94 +111,6 @@ async def run_qa_agent_session(
         print("✓ Memory context loaded for QA reviewer")
         debug_success("qa_reviewer", "Graphiti memory context loaded for QA")
 
-    # Load investigation context for GitHub-sourced tasks
-    task_metadata_path = spec_dir / "task_metadata.json"
-    base_branch = "main"  # Default base branch
-
-    # Try to read base_branch from task_metadata.json
-    if task_metadata_path.exists():
-        try:
-            with open(task_metadata_path) as f:
-                task_metadata = json.load(f)
-                base_branch = task_metadata.get("baseBranch", "main")
-        except (json.JSONDecodeError, OSError):
-            pass
-
-    investigation_context = load_investigation_for_qa(spec_dir, base_branch)
-    if investigation_context:
-        # Format investigation context for the prompt
-        inv = investigation_context
-        inv_prompt = "\n## GitHub Issue Validation\n\n"
-        inv_prompt += "This task was created from a GitHub issue investigation. "
-        inv_prompt += "You must verify that the issue is actually fixed.\n\n"
-
-        if inv.get("root_cause", {}).get("summary"):
-            inv_prompt += f"**Root Cause:** {inv['root_cause']['summary']}\n\n"
-
-        if inv.get("root_cause", {}).get("evidence"):
-            inv_prompt += (
-                f"**Evidence of the Issue:**\n{inv['root_cause']['evidence']}\n\n"
-            )
-
-        if inv.get("root_cause", {}).get("code_paths"):
-            inv_prompt += "**Affected Code Paths:**\n"
-            for path in inv["root_cause"]["code_paths"]:
-                file_ref = path.get("file", "unknown")
-                start = path.get("start_line", "")
-                end = path.get("end_line", "")
-                desc = path.get("description", "")
-                line_range = f":{start}-{end}" if start and end else ""
-                inv_prompt += f"- `{file_ref}{line_range}`"
-                if desc:
-                    inv_prompt += f" — {desc}"
-                inv_prompt += "\n"
-            inv_prompt += "\n"
-
-        if inv.get("reproducer"):
-            reproducer = inv["reproducer"]
-            inv_prompt += "**Verification Steps:**\n"
-            steps = reproducer.get("reproduction_steps", [])
-            for step in steps:
-                inv_prompt += f"- {step}\n"
-            test_approach = reproducer.get("suggested_test_approach")
-            if test_approach:
-                inv_prompt += f"\n**Suggested Test Approach:** {test_approach}\n"
-            inv_prompt += "\n"
-            inv_prompt += "**ACTION REQUIRED:** Attempt to reproduce the issue following these steps. "
-            inv_prompt += "If a reproducer script or test is mentioned, run it to confirm the issue is fixed.\n\n"
-
-        if inv.get("impact"):
-            inv_prompt += "**Expected Impact:**\n"
-            if inv["impact"].get("severity"):
-                inv_prompt += f"- **Severity:** {inv['impact']['severity']}\n"
-            if inv["impact"].get("user_impact"):
-                inv_prompt += f"- **User Impact:** {inv['impact']['user_impact']}\n"
-            if inv["impact"].get("blast_radius"):
-                inv_prompt += f"- **Blast Radius:** {inv['impact']['blast_radius']}\n"
-            if inv["impact"].get("regression_risk"):
-                inv_prompt += (
-                    f"- **Regression Risk:** {inv['impact']['regression_risk']}\n"
-                )
-            inv_prompt += "\n"
-
-        inv_prompt += "**Validation Checklist:**\n"
-        inv_prompt += "In your review, you MUST:\n"
-        inv_prompt += "1. Verify the root cause is addressed\n"
-        inv_prompt += "2. Validate the issue is resolved"
-        if inv.get("reproducer"):
-            inv_prompt += " (run the reproducer)\n"
-        else:
-            inv_prompt += "\n"
-        inv_prompt += "3. Check for regressions\n"
-        inv_prompt += "4. Verify minimal changes\n\n"
-
-        inv_prompt += f"You are comparing changes from branch `{inv.get('base_branch', 'main')}` to the current worktree.\n"
-        inv_prompt += "Focus your review on whether these changes actually fix the described issue.\n"
-
-        prompt += inv_prompt
-        print("✓ Investigation context loaded for QA reviewer")
-        debug_success("qa_reviewer", "Investigation context loaded for QA validation")
-
     # Add session context
     prompt += f"\n\n---\n\n**QA Session**: {qa_session}\n"
     prompt += f"**Max Iterations**: {max_iterations}\n"
@@ -288,7 +199,7 @@ This is attempt {previous_error.get("consecutive_errors", 1) + 1}. If you fail t
 
         response_text = ""
         debug("qa_reviewer", "Starting to receive response stream...")
-        async for msg in client.receive_response():
+        async for msg in safe_receive_messages(client, caller="qa_reviewer"):
             msg_type = type(msg).__name__
             message_count += 1
             debug_detailed(

apps/backend/requirements.txt

@@ -1,7 +1,8 @@
 # Auto-Build Framework Dependencies
-# SDK 0.1.33+ required for Opus 4.6 adaptive thinking support
-# Earlier versions lacked effort parameter and thinking type configuration
-claude-agent-sdk>=0.1.33
+# SDK 0.1.39+ required for Opus 4.6 adaptive thinking support and stability fixes
+# Earlier versions lacked effort parameter, thinking type configuration,
+# and crashed on unhandled CLI message types (e.g., rate_limit_event)
+claude-agent-sdk>=0.1.39
 python-dotenv>=1.0.0
 
 # TOML parsing fallback for Python < 3.11

apps/backend/runners/github/bot_detection.py

@@ -153,8 +153,9 @@ class BotDetector:
         # Identify bot username from token
         self.bot_username = self._get_bot_username()
 
-        logger.debug(
-            f"[BotDetector] Initialized: bot_user={self.bot_username}, review_own_prs={review_own_prs}"
+        print(
+            f"[BotDetector] Initialized: bot_user={self.bot_username}, review_own_prs={review_own_prs}",
+            file=sys.stderr,
         )
 
     def _get_bot_username(self) -> str | None:
@@ -165,8 +166,9 @@ class BotDetector:
             Bot username or None if token not provided or invalid
         """
         if not self.bot_token:
-            logger.debug(
-                "[BotDetector] No bot token provided, cannot identify bot user"
+            print(
+                "[BotDetector] No bot token provided, cannot identify bot user",
+                file=sys.stderr,
             )
             return None
 

apps/backend/runners/github/gh_client.py

@@ -331,12 +331,7 @@ class GHClient:
         args = self._add_repo_flag(args)
 
         result = await self.run(args)
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else []
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse PR list response as JSON")
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return []
+        return json.loads(result.stdout)
 
     async def pr_get(
         self, pr_number: int, json_fields: list[str] | None = None
@@ -376,12 +371,7 @@ class GHClient:
         args = self._add_repo_flag(args)
 
         result = await self.run(args)
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else {}
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse PR #%d response as JSON", pr_number)
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return {}
+        return json.loads(result.stdout)
 
     async def pr_diff(self, pr_number: int) -> str:
         """
@@ -486,15 +476,9 @@ class GHClient:
             "--json",
             ",".join(json_fields),
         ]
-        args = self._add_repo_flag(args)
 
         result = await self.run(args)
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else []
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse issue list response as JSON")
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return []
+        return json.loads(result.stdout)
 
     async def issue_get(
         self, issue_number: int, json_fields: list[str] | None = None
@@ -529,135 +513,20 @@ class GHClient:
             "--json",
             ",".join(json_fields),
         ]
-        args = self._add_repo_flag(args)
 
         result = await self.run(args)
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else {}
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse issue #%d response as JSON", issue_number)
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return {}
+        return json.loads(result.stdout)
 
-    async def issue_comment(self, issue_number: int, body: str) -> int:
+    async def issue_comment(self, issue_number: int, body: str) -> None:
         """
         Post a comment to an issue.
 
         Args:
             issue_number: Issue number
             body: Comment body
-
-        Returns:
-            The ID of the created comment
-
-        Raises:
-            GHCommandError: If the gh CLI command fails
-            ValueError: If the comment ID is not returned
         """
-        # Use GitHub API directly via 'gh api' to post the comment
-        # This allows us to get JSON response with the comment ID
-        # Note: gh issue comment doesn't support --json flag, but gh api does
-        endpoint = f"repos/{{owner}}/{{repo}}/issues/{issue_number}/comments"
-        args = [
-            "api",
-            "--method",
-            "POST",
-            endpoint,
-            "-f",
-            f"body={body}",
-            "--jq",
-            ".id",
-        ]
-        # Note: gh api doesn't use -R flag, the repo is already in the endpoint URL
-        # Only add -R if we have a custom repo configured (not the default from git)
-        if self.repo:
-            # For gh api, we need to use --hostname to specify a different repo
-            # But since the endpoint already has {{owner}}/{{repo}}, it will be
-            # expanded correctly by gh CLI using the default git remote
-            pass
-        result = await self.run(args, raise_on_error=False)
-
-        # Check for gh CLI errors
-        if result.returncode != 0:
-            stderr_lower = result.stderr.lower()
-            error_msg = (
-                result.stderr.strip()
-                or f"gh CLI failed with exit code {result.returncode}"
-            )
-
-            # Provide user-friendly error messages for common failure modes
-            if (
-                "401" in result.stderr
-                or "unauthenticated" in stderr_lower
-                or "not logged in" in stderr_lower
-            ):
-                raise GHCommandError(
-                    "GitHub authentication failed. Please run 'gh auth login' to authenticate."
-                )
-            elif (
-                "403" in result.stderr
-                or "429" in result.stderr
-                or "rate limit" in stderr_lower
-            ):
-                raise GHCommandError(
-                    "GitHub API rate limit exceeded. Please wait a few minutes before trying again."
-                )
-            elif "404" in result.stderr or "not found" in stderr_lower:
-                if self.repo:
-                    raise GHCommandError(
-                        f"Repository or issue not found. Please verify that the repository '{self.repo}' exists and you have access to it."
-                    )
-                else:
-                    raise GHCommandError(
-                        f"Issue #{issue_number} not found. Please verify that the issue exists in the repository."
-                    )
-            elif "permission" in stderr_lower or "forbidden" in stderr_lower:
-                raise GHCommandError(
-                    "You do not have permission to comment on this issue. Please ensure you have write access to the repository."
-                )
-
-            # Generic error with stderr output
-            raise GHCommandError(f"Failed to post comment to GitHub: {error_msg}")
-
-        # Parse the comment ID from the output (gh api --jq .id returns just the ID)
-        try:
-            stdout = result.stdout.strip()
-            if not stdout:
-                raise ValueError("Empty response from GitHub API")
-
-            comment_id = int(stdout)
-            if comment_id:
-                return comment_id
-            else:
-                raise ValueError(f"Invalid comment ID returned: {stdout}")
-        except (ValueError, json.JSONDecodeError) as e:
-            logger.error(
-                "Failed to parse comment ID response for issue #%d: %s", issue_number, e
-            )
-            logger.debug("Raw stdout (first 500 chars): %s", result.stdout[:500])
-            logger.debug("Raw stderr (first 500 chars): %s", result.stderr[:500])
-            raise ValueError(f"Failed to parse GitHub response: {str(e)}")
-
-    async def issue_comments(self, issue_number: int) -> list[dict]:
-        """
-        Fetch comments on an issue.
-
-        Args:
-            issue_number: Issue number
-
-        Returns:
-            List of comment dicts from the GitHub API
-        """
-        endpoint = f"repos/{{owner}}/{{repo}}/issues/{issue_number}/comments"
-        args = ["api", "--method", "GET", endpoint]
-        result = await self.run(args, raise_on_error=False)
-
-        if result.returncode == 0:
-            try:
-                return json.loads(result.stdout)
-            except json.JSONDecodeError:
-                logger.warning(f"Failed to parse comments for issue #{issue_number}")
-        return []
+        args = ["issue", "comment", str(issue_number), "--body", body]
+        await self.run(args)
 
     async def issue_add_labels(self, issue_number: int, labels: list[str]) -> None:
         """
@@ -677,7 +546,6 @@ class GHClient:
             "--add-label",
             ",".join(labels),
         ]
-        args = self._add_repo_flag(args)
         await self.run(args)
 
     async def issue_remove_labels(self, issue_number: int, labels: list[str]) -> None:
@@ -698,7 +566,6 @@ class GHClient:
             "--remove-label",
             ",".join(labels),
         ]
-        args = self._add_repo_flag(args)
         # Don't raise on error - labels might not exist
         await self.run(args, raise_on_error=False)
 
@@ -720,12 +587,7 @@ class GHClient:
                 args.extend(["-f", f"{key}={value}"])
 
         result = await self.run(args)
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else {}
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse API response for %s as JSON", endpoint)
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return {}
+        return json.loads(result.stdout)
 
     async def pr_merge(
         self,
@@ -765,25 +627,6 @@ class GHClient:
         args = self._add_repo_flag(args)
         await self.run(args)
 
-    async def pr_comment_reply(
-        self, pr_number: int, comment_id: int, body: str
-    ) -> None:
-        """
-        Reply to a specific review comment on a pull request.
-
-        Uses: POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies
-
-        Args:
-            pr_number: PR number (used for the API endpoint)
-            comment_id: The ID of the review comment to reply to
-            body: Reply body text
-        """
-        endpoint = (
-            f"repos/{{owner}}/{{repo}}/pulls/{pr_number}/comments/{comment_id}/replies"
-        )
-        args = ["api", "--method", "POST", endpoint, "-f", f"body={body}"]
-        await self.run(args)
-
     async def pr_get_assignees(self, pr_number: int) -> list[str]:
         """
         Get assignees for a pull request.
@@ -843,12 +686,7 @@ class GHClient:
         args = ["api", endpoint]
 
         result = await self.run(args, timeout=60.0)  # Longer timeout for large diffs
-        try:
-            return json.loads(result.stdout) if result.stdout.strip() else {}
-        except json.JSONDecodeError:
-            logger.warning("Failed to parse commit comparison response as JSON")
-            logger.debug("Raw stdout (truncated): %s", result.stdout[:200])
-            return {}
+        return json.loads(result.stdout)
 
     async def get_comments_since(
         self, pr_number: int, since_timestamp: str

apps/backend/runners/github/models.py

@@ -1004,12 +1004,6 @@ class GitHubRunnerConfig:
         True  # Use SDK subagent parallel orchestrator (default)
     )
 
-    # Investigation settings
-    investigation_auto_post: bool = False
-    investigation_auto_close: bool = False
-    investigation_max_parallel: int = 3
-    investigation_pipeline_mode: str = "full"
-
     # Model settings
     # Note: Default uses shorthand "sonnet" which gets resolved via resolve_model_id()
     # to respect environment variable overrides (e.g., ANTHROPIC_DEFAULT_SONNET_MODEL)
@@ -1017,10 +1011,6 @@ class GitHubRunnerConfig:
     thinking_level: str = "medium"
     fast_mode: bool = False
 
-    # Per-specialist investigation config (overrides model/thinking_level for each specialist)
-    # Dict mapping specialist name → {"model": str, "thinking": str}
-    specialist_config: dict[str, dict[str, str]] | None = None
-
     def to_dict(self) -> dict:
         return {
             "token": "***",  # Never save token
@@ -1043,10 +1033,6 @@ class GitHubRunnerConfig:
             "model": self.model,
             "thinking_level": self.thinking_level,
             "fast_mode": self.fast_mode,
-            "investigation_auto_post": self.investigation_auto_post,
-            "investigation_auto_close": self.investigation_auto_close,
-            "investigation_max_parallel": self.investigation_max_parallel,
-            "investigation_pipeline_mode": self.investigation_pipeline_mode,
         }
 
     def save_settings(self, github_dir: Path) -> None:
@@ -1075,9 +1061,6 @@ class GitHubRunnerConfig:
         else:
             settings = {}
 
-        # Load investigation_settings from nested structure if present
-        investigation_settings = settings.get("investigation_settings", {})
-
         return cls(
             token=token,
             repo=repo,
@@ -1103,19 +1086,4 @@ class GitHubRunnerConfig:
             # Note: model is stored as shorthand and resolved via resolve_model_id()
             model=settings.get("model", "sonnet"),
             thinking_level=settings.get("thinking_level", "medium"),
-            # Load fast_mode from investigation_settings (front-end uses camelCase "fastInvestigations")
-            fast_mode=investigation_settings.get("fastInvestigations", False),
-            # Load investigation settings from nested structure
-            investigation_auto_post=investigation_settings.get(
-                "autoPostToGitHub", False
-            ),
-            investigation_auto_close=investigation_settings.get(
-                "autoCloseIssues", False
-            ),
-            investigation_max_parallel=investigation_settings.get(
-                "maxParallelInvestigations", 3
-            ),
-            investigation_pipeline_mode=investigation_settings.get(
-                "pipelineMode", "full"
-            ),
         )

apps/backend/runners/github/multi_repo.py

@@ -53,6 +53,7 @@ class RepoConfig:
         relationship: Relationship to other repos
         upstream_repo: Upstream repo if this is a fork
         labels: Label configuration overrides
+        trust_level: Trust level for this repo
     """
 
     repo: str  # owner/repo format
@@ -63,6 +64,7 @@ class RepoConfig:
     labels: dict[str, list[str]] = field(
         default_factory=dict
     )  # e.g., {"auto_fix": ["fix-me"]}
+    trust_level: int = 0  # 0-4 trust level
     display_name: str | None = None  # Human-readable name
 
     # Feature toggles per repo
@@ -123,6 +125,7 @@ class RepoConfig:
             "relationship": self.relationship.value,
             "upstream_repo": self.upstream_repo,
             "labels": self.labels,
+            "trust_level": self.trust_level,
             "display_name": self.display_name,
             "auto_fix_enabled": self.auto_fix_enabled,
             "pr_review_enabled": self.pr_review_enabled,
@@ -138,6 +141,7 @@ class RepoConfig:
             relationship=RepoRelationship(data.get("relationship", "standalone")),
             upstream_repo=data.get("upstream_repo"),
             labels=data.get("labels", {}),
+            trust_level=data.get("trust_level", 0),
             display_name=data.get("display_name"),
             auto_fix_enabled=data.get("auto_fix_enabled", True),
             pr_review_enabled=data.get("pr_review_enabled", True),

apps/backend/runners/github/orchestrator.py

@@ -43,12 +43,9 @@ try:
     from .services import (
         AutoFixProcessor,
         BatchProcessor,
-        EnrichmentEngine,
         PRReviewEngine,
-        SplitEngine,
         TriageEngine,
     )
-    from .services.investigation_label_manager import InvestigationLabelManager
     from .services.io_utils import safe_print
 except (ImportError, ValueError, SystemError):
     # When imported directly (runner.py adds github dir to path)
@@ -75,12 +72,9 @@ except (ImportError, ValueError, SystemError):
     from services import (
         AutoFixProcessor,
         BatchProcessor,
-        EnrichmentEngine,
         PRReviewEngine,
-        SplitEngine,
         TriageEngine,
     )
-    from services.investigation_label_manager import InvestigationLabelManager
     from services.io_utils import safe_print
 
 
@@ -191,26 +185,6 @@ class GitHubOrchestrator:
             progress_callback=self.progress_callback,
         )
 
-        self.enrichment_engine = EnrichmentEngine(
-            project_dir=self.project_dir,
-            github_dir=self.github_dir,
-            config=self.config,
-            progress_callback=self.progress_callback,
-        )
-
-        self.split_engine = SplitEngine(
-            project_dir=self.project_dir,
-            github_dir=self.github_dir,
-            config=self.config,
-            progress_callback=self.progress_callback,
-        )
-
-        # Read investigation label customization from config
-        label_customization = self._load_investigation_label_customization()
-        self.label_manager = InvestigationLabelManager(
-            customization=label_customization
-        )
-
     def _report_progress(
         self,
         phase: str,
@@ -264,9 +238,9 @@ class GitHubOrchestrator:
             event=event.lower(),
         )
 
-    async def _post_issue_comment(self, issue_number: int, body: str) -> int:
-        """Post a comment to an issue and return the comment ID."""
-        return await self.gh_client.issue_comment(issue_number, body)
+    async def _post_issue_comment(self, issue_number: int, body: str) -> None:
+        """Post a comment to an issue."""
+        await self.gh_client.issue_comment(issue_number, body)
 
     async def _add_issue_labels(self, issue_number: int, labels: list[str]) -> None:
         """Add labels to an issue."""
@@ -309,24 +283,6 @@ class GitHubOrchestrator:
     # Helper Methods
     # =========================================================================
 
-    def _load_investigation_label_customization(self) -> dict | None:
-        """Load investigation label customization from GitHub config."""
-        try:
-            config_path = self.github_dir / "config.json"
-            if config_path.exists():
-                import json
-
-                with open(config_path) as f:
-                    config = json.load(f)
-                investigation_settings = config.get("investigation_settings", {})
-                return investigation_settings.get("labelCustomization")
-        except Exception as e:
-            safe_print(
-                f"[DEBUG orchestrator] Could not load label customization: {e}",
-                flush=True,
-            )
-        return None
-
     async def _create_skip_result(
         self, pr_number: int, skip_reason: str
     ) -> PRReviewResult:
@@ -1533,347 +1489,6 @@ class GitHubOrchestrator:
         self._report_progress("complete", 100, f"Triaged {len(results)} issues")
         return results
 
-    # =========================================================================
-    # ISSUE INVESTIGATION WORKFLOW
-    # =========================================================================
-
-    async def _run_investigation_with_state_management(
-        self,
-        issue_number: int,
-        issue_title: str,
-        issue_body: str,
-        issue_labels: list[str],
-        issue_comments: list[str],
-        project_root: Path | None = None,
-        resume_sessions: dict[str, str] | None = None,
-        return_dict: bool = True,
-    ):
-        """
-        Core investigation logic with state and label management.
-
-        This helper method encapsulates the common pattern of:
-        1. Saving initial "investigating" state
-        2. Syncing lifecycle labels
-        3. Running the investigation
-        4. Updating state to "findings_ready" or "failed"
-        5. Syncing final labels
-
-        Args:
-            issue_number: The GitHub issue number
-            issue_title: The issue title
-            issue_body: The issue body text
-            issue_labels: List of label names
-            issue_comments: List of comment bodies
-            project_root: Working directory for agents
-            resume_sessions: Optional dict mapping specialist name to SDK session ID
-            return_dict: If True, return report.model_dump(); otherwise return report
-
-        Returns:
-            InvestigationReport (as dict if return_dict=True, else as object)
-
-        Raises:
-            Exception: If investigation fails
-        """
-        from datetime import datetime, timezone
-
-        try:
-            from .services.investigation_persistence import (
-                load_investigation_state,
-                save_investigation_state,
-            )
-            from .services.issue_investigation_orchestrator import (
-                IssueInvestigationOrchestrator,
-            )
-        except (ImportError, ValueError, SystemError):
-            from services.investigation_persistence import (
-                load_investigation_state,
-                save_investigation_state,
-            )
-            from services.issue_investigation_orchestrator import (
-                IssueInvestigationOrchestrator,
-            )
-
-        working_dir = project_root or self.project_dir
-
-        # Save initial state, preserving any existing sessions (for resume scenarios)
-        existing_state = load_investigation_state(self.project_dir, issue_number)
-        initial_state = {
-            "issue_number": issue_number,
-            "status": "investigating",
-            "started_at": datetime.now(timezone.utc).isoformat(),
-            "model_used": self.config.model or "sonnet",
-        }
-        # Preserve existing sessions if present (resume scenario)
-        if existing_state and existing_state.sessions:
-            initial_state["sessions"] = existing_state.sessions
-        save_investigation_state(
-            self.project_dir,
-            issue_number,
-            initial_state,
-        )
-
-        # Sync lifecycle label to GitHub
-        try:
-            await self.label_manager.ensure_labels_exist(self.gh_client)
-            await self.label_manager.set_investigation_label(
-                self.gh_client, issue_number, "investigating"
-            )
-        except Exception as e:
-            safe_print(f"[Investigation] Label sync warning: {e}", flush=True)
-
-        try:
-            # Create investigation orchestrator
-            orchestrator = IssueInvestigationOrchestrator(
-                project_dir=self.project_dir,
-                github_dir=self.github_dir,
-                config=self.config,
-                progress_callback=self.progress_callback,
-            )
-
-            # Run investigation
-            report = await orchestrator.investigate(
-                issue_number=issue_number,
-                issue_title=issue_title,
-                issue_body=issue_body,
-                issue_labels=issue_labels,
-                issue_comments=issue_comments,
-                project_root=working_dir,
-                resume_sessions=resume_sessions,
-            )
-
-            # Update state to findings_ready, preserving started_at and sessions
-            existing_state = load_investigation_state(self.project_dir, issue_number)
-            started_at = (
-                existing_state.started_at
-                if existing_state
-                else datetime.now(timezone.utc).isoformat()
-            )
-
-            success_state = {
-                "issue_number": issue_number,
-                "status": "findings_ready",
-                "started_at": started_at,
-                "completed_at": datetime.now(timezone.utc).isoformat(),
-                "model_used": self.config.model or "sonnet",
-            }
-            # Preserve existing sessions if present (for edge case where user might want to re-run)
-            if existing_state and existing_state.sessions:
-                success_state["sessions"] = existing_state.sessions
-
-            save_investigation_state(
-                self.project_dir,
-                issue_number,
-                success_state,
-            )
-
-            # Sync lifecycle label to GitHub
-            try:
-                await self.label_manager.set_investigation_label(
-                    self.gh_client, issue_number, "findings_ready"
-                )
-            except Exception as e:
-                safe_print(f"[Investigation] Label sync warning: {e}", flush=True)
-
-            return report.model_dump(mode="json") if return_dict else report
-
-        except Exception as e:
-            # Update state to failed, preserving any existing sessions for resume support
-            existing_state = load_investigation_state(self.project_dir, issue_number)
-            failed_state = {
-                "issue_number": issue_number,
-                "status": "failed",
-                "started_at": (
-                    existing_state.started_at
-                    if existing_state and existing_state.started_at
-                    else datetime.now(timezone.utc).isoformat()
-                ),
-                "completed_at": datetime.now(timezone.utc).isoformat(),
-                "error": str(e),
-                "model_used": self.config.model or "sonnet",
-            }
-            # Preserve existing sessions if present (critical for resume feature)
-            if existing_state and existing_state.sessions:
-                failed_state["sessions"] = existing_state.sessions
-            save_investigation_state(
-                self.project_dir,
-                issue_number,
-                failed_state,
-            )
-
-            # Remove lifecycle labels on failure
-            try:
-                await self.label_manager.remove_all_investigation_labels(
-                    self.gh_client, issue_number
-                )
-            except Exception as label_err:
-                safe_print(
-                    f"[Investigation] Label cleanup warning: {label_err}",
-                    flush=True,
-                )
-
-            safe_print(
-                f"[Investigation] Investigation failed for issue #{issue_number}: {e}",
-                flush=True,
-            )
-            raise
-
-    async def investigate_issue(
-        self,
-        issue_number: int,
-        project_root: Path | None = None,
-        resume_sessions: dict[str, str] | None = None,
-    ) -> dict:
-        """
-        Run an AI investigation on a GitHub issue.
-
-        Launches 4 specialist agents in parallel (root cause, impact,
-        fix advisor, reproducer) to explore the codebase and produce
-        a structured investigation report.
-
-        Args:
-            issue_number: The GitHub issue number to investigate
-            project_root: Working directory for agents (e.g., worktree path).
-                         Defaults to self.project_dir.
-            resume_sessions: Optional dict mapping specialist name to SDK
-                           session ID for resuming interrupted investigations.
-
-        Returns:
-            Dict with investigation results (InvestigationReport as dict)
-        """
-        self._report_progress(
-            "fetching",
-            5,
-            f"Fetching issue #{issue_number}...",
-            issue_number=issue_number,
-        )
-
-        # Fetch issue data
-        issue = await self._fetch_issue_data(issue_number)
-        issue_title = issue.get("title", f"Issue #{issue_number}")
-        issue_body = issue.get("body", "")
-        issue_labels = [label.get("name", "") for label in issue.get("labels", [])]
-
-        # Fetch comments
-        issue_comments = []
-        try:
-            comments_data = await self.gh_client.issue_comments(issue_number)
-            issue_comments = [c.get("body", "") for c in comments_data if c.get("body")]
-        except Exception as e:
-            safe_print(
-                f"[Investigation] Warning: Could not fetch comments: {e}",
-                flush=True,
-            )
-
-        return await self._run_investigation_with_state_management(
-            issue_number=issue_number,
-            issue_title=issue_title,
-            issue_body=issue_body,
-            issue_labels=issue_labels,
-            issue_comments=issue_comments,
-            project_root=project_root,
-            resume_sessions=resume_sessions,
-            return_dict=True,
-        )
-
-    async def start_investigation(
-        self,
-        issue_number: int,
-        issue_title: str,
-        issue_body: str,
-        issue_labels: list[str] | None = None,
-        issue_comments: list[str] | None = None,
-    ):
-        """
-        Start an AI investigation on a GitHub issue (typed API).
-
-        This is a higher-level wrapper that accepts pre-fetched issue data
-        and returns a typed InvestigationReport.
-
-        Args:
-            issue_number: The GitHub issue number
-            issue_title: The issue title
-            issue_body: The issue body text
-            issue_labels: Optional list of label names
-            issue_comments: Optional list of comment bodies
-
-        Returns:
-            InvestigationReport from the investigation
-        """
-        return await self._run_investigation_with_state_management(
-            issue_number=issue_number,
-            issue_title=issue_title,
-            issue_body=issue_body,
-            issue_labels=issue_labels or [],
-            issue_comments=issue_comments or [],
-            project_root=self.project_dir,
-            resume_sessions=None,
-            return_dict=False,
-        )
-
-    # =========================================================================
-    # ENRICHMENT WORKFLOW
-    # =========================================================================
-
-    async def enrich_issue(self, issue_number: int) -> dict:
-        """
-        Perform deep AI enrichment on a single issue.
-
-        Args:
-            issue_number: The issue number to enrich
-
-        Returns:
-            Dict matching AIEnrichmentResult interface
-        """
-        self._report_progress(
-            "fetching",
-            10,
-            f"Fetching issue #{issue_number}...",
-            issue_number=issue_number,
-        )
-
-        issue = await self._fetch_issue_data(issue_number)
-        result = await self.enrichment_engine.enrich_single_issue(issue)
-
-        self._report_progress(
-            "complete",
-            100,
-            "Enrichment complete!",
-            issue_number=issue_number,
-        )
-        return result
-
-    # =========================================================================
-    # SPLIT SUGGESTION WORKFLOW
-    # =========================================================================
-
-    async def split_issue(self, issue_number: int) -> dict:
-        """
-        Analyze an issue and suggest how to split it into sub-issues.
-
-        Args:
-            issue_number: The issue number to analyze
-
-        Returns:
-            Dict matching SplitSuggestion interface
-        """
-        self._report_progress(
-            "fetching",
-            10,
-            f"Fetching issue #{issue_number}...",
-            issue_number=issue_number,
-        )
-
-        issue = await self._fetch_issue_data(issue_number)
-        result = await self.split_engine.suggest_split(issue)
-
-        self._report_progress(
-            "complete",
-            100,
-            "Split analysis complete!",
-            issue_number=issue_number,
-        )
-        return result
-
     # =========================================================================
     # AUTO-FIX WORKFLOW
     # =========================================================================

apps/backend/runners/github/runner.py

@@ -177,10 +177,6 @@ def get_config(args) -> GitHubRunnerConfig:
         )
         sys.exit(1)
 
-    specialist_config = None
-    if hasattr(args, "specialist_config") and args.specialist_config:
-        specialist_config = json.loads(args.specialist_config)
-
     return GitHubRunnerConfig(
         token=token,
         repo=repo,
@@ -191,7 +187,6 @@ def get_config(args) -> GitHubRunnerConfig:
         auto_fix_enabled=getattr(args, "auto_fix_enabled", False),
         auto_fix_labels=getattr(args, "auto_fix_labels", ["auto-fix"]),
         auto_post_reviews=getattr(args, "auto_post", False),
-        specialist_config=specialist_config,
     )
 
 
@@ -348,153 +343,6 @@ async def cmd_followup_review_pr(args) -> int:
         return 1
 
 
-async def cmd_investigate(args) -> int:
-    """Run AI investigation on a GitHub issue."""
-    import sys
-
-    # Force unbuffered output so Electron sees it in real-time
-    if hasattr(sys.stdout, "reconfigure"):
-        sys.stdout.reconfigure(line_buffering=True)
-    if hasattr(sys.stderr, "reconfigure"):
-        sys.stderr.reconfigure(line_buffering=True)
-
-    config = get_config(args)
-
-    # Parse resume sessions if provided
-    resume_sessions = None
-    if getattr(args, "resume_sessions", None):
-        try:
-            resume_sessions = json.loads(args.resume_sessions)
-        except json.JSONDecodeError:
-            safe_print("Warning: Invalid --resume-sessions JSON, starting fresh")
-
-    orchestrator = GitHubOrchestrator(
-        project_dir=args.project,
-        config=config,
-        progress_callback=print_progress,
-    )
-
-    try:
-        result = await orchestrator.investigate_issue(
-            args.issue_number,
-            resume_sessions=resume_sessions,
-        )
-
-        # Check if investigation failed (result may contain error info)
-        # The investigate_issue method raises on failure, but we check result anyway
-        if not result:
-            safe_print("Error: Investigation returned no result")
-            return 1
-
-        # Output JSON for the Electron frontend to parse
-        safe_print("\nJSON Output")
-        safe_print(f"{'=' * 60}")
-        safe_print(json.dumps(result, indent=2))
-
-        return 0
-    except Exception as e:
-        # Return non-zero exit code on investigation failure
-        safe_print(f"Error: Investigation failed: {e}")
-        return 1
-
-
-async def cmd_post_investigation(args) -> int:
-    """Post investigation results to GitHub as a comment."""
-    from services.investigation_persistence import load_investigation_report
-    from services.investigation_report_builder import build_github_comment
-
-    def output_error(error_message: str) -> None:
-        """Output an error in JSON format for the Electron frontend to parse."""
-        safe_print("\nJSON Output")
-        safe_print(f"{'=' * 60}")
-        safe_print(json.dumps({"success": False, "error": error_message}))
-
-    try:
-        config = get_config(args)
-        orchestrator = GitHubOrchestrator(
-            project_dir=args.project,
-            config=config,
-            progress_callback=print_progress,
-        )
-
-        # Load investigation report from .auto-claude/issues/{issueNumber}/investigation_report.json
-        report = load_investigation_report(args.project, args.issue_number)
-        if report is None:
-            error_msg = (
-                f"No investigation report found for issue #{args.issue_number}. "
-                f"Please run the investigation first."
-            )
-            safe_print(f"Error: {error_msg}")
-            output_error(error_msg)
-            return 1
-
-        # Build the GitHub comment from the report
-        comment_body = build_github_comment(report)
-
-        # Post it to GitHub
-        try:
-            comment_id = await orchestrator._post_issue_comment(
-                args.issue_number, comment_body
-            )
-        except Exception as e:
-            error_msg = f"Failed to post comment to GitHub: {str(e)}"
-            safe_print(f"Error: {error_msg}")
-            output_error(error_msg)
-            return 1
-
-        safe_print(f"Posted investigation results to issue #{args.issue_number}")
-
-        # Output JSON for the Electron frontend to parse
-        safe_print("\nJSON Output")
-        safe_print(f"{'=' * 60}")
-        safe_print(json.dumps({"success": True, "commentId": comment_id}))
-
-        return 0
-    except Exception as e:
-        error_msg = f"Unexpected error: {str(e)}"
-        safe_print(f"Error: {error_msg}")
-        output_error(error_msg)
-        return 1
-
-
-async def cmd_enrich(args) -> int:
-    """Enrich a single issue with deep AI analysis."""
-    config = get_config(args)
-    orchestrator = GitHubOrchestrator(
-        project_dir=args.project,
-        config=config,
-        progress_callback=print_progress,
-    )
-
-    result = await orchestrator.enrich_issue(args.issue_number)
-
-    # Output JSON for the Electron frontend to parse
-    safe_print("\nJSON Output")
-    safe_print(f"{'=' * 60}")
-    safe_print(json.dumps(result, indent=2))
-
-    return 0
-
-
-async def cmd_split(args) -> int:
-    """Suggest how to split an issue into sub-issues."""
-    config = get_config(args)
-    orchestrator = GitHubOrchestrator(
-        project_dir=args.project,
-        config=config,
-        progress_callback=print_progress,
-    )
-
-    result = await orchestrator.split_issue(args.issue_number)
-
-    # Output JSON for the Electron frontend to parse
-    safe_print("\nJSON Output")
-    safe_print(f"{'=' * 60}")
-    safe_print(json.dumps(result, indent=2))
-
-    return 0
-
-
 async def cmd_triage(args) -> int:
     """Triage issues."""
     config = get_config(args)
@@ -879,48 +727,6 @@ def main():
     )
     followup_parser.add_argument("pr_number", type=int, help="PR number to review")
 
-    # investigate command
-    investigate_parser = subparsers.add_parser(
-        "investigate", help="Run AI investigation on a GitHub issue"
-    )
-    investigate_parser.add_argument(
-        "issue_number", type=int, help="Issue number to investigate"
-    )
-    investigate_parser.add_argument(
-        "--resume-sessions",
-        type=str,
-        default=None,
-        help="JSON dict of specialist_name:session_id for resuming interrupted investigations",
-    )
-    investigate_parser.add_argument(
-        "--specialist-config",
-        type=str,
-        default=None,
-        help="JSON dict of specialist configs: {name: {model, thinking}}",
-    )
-
-    # post-investigation command
-    post_investigation_parser = subparsers.add_parser(
-        "post-investigation", help="Post investigation results to GitHub"
-    )
-    post_investigation_parser.add_argument(
-        "issue_number", type=int, help="Issue number to post results for"
-    )
-
-    # enrich command
-    enrich_parser = subparsers.add_parser(
-        "enrich", help="Enrich a single issue with deep AI analysis"
-    )
-    enrich_parser.add_argument("issue_number", type=int, help="Issue number to enrich")
-
-    # split command
-    split_parser = subparsers.add_parser(
-        "split", help="Suggest how to split an issue into sub-issues"
-    )
-    split_parser.add_argument(
-        "issue_number", type=int, help="Issue number to analyze for splitting"
-    )
-
     # triage command
     triage_parser = subparsers.add_parser("triage", help="Triage issues")
     triage_parser.add_argument(
@@ -1013,10 +819,6 @@ def main():
     commands = {
         "review-pr": cmd_review_pr,
         "followup-review-pr": cmd_followup_review_pr,
-        "investigate": cmd_investigate,
-        "post-investigation": cmd_post_investigation,
-        "enrich": cmd_enrich,
-        "split": cmd_split,
         "triage": cmd_triage,
         "auto-fix": cmd_auto_fix,
         "check-auto-fix-labels": cmd_check_labels,

apps/backend/runners/github/services/__init__.py

@@ -15,35 +15,9 @@ from __future__ import annotations
 _LAZY_IMPORTS: dict[str, tuple[str, str]] = {
     "AutoFixProcessor": (".autofix_processor", "AutoFixProcessor"),
     "BatchProcessor": (".batch_processor", "BatchProcessor"),
-    "EnrichmentEngine": (".enrichment_engine", "EnrichmentEngine"),
-    "InvestigationReport": (".investigation_models", "InvestigationReport"),
-    "InvestigationState": (".investigation_models", "InvestigationState"),
-    "InvestigationLabelManager": (
-        ".investigation_label_manager",
-        "InvestigationLabelManager",
-    ),
-    "IssueInvestigationOrchestrator": (
-        ".issue_investigation_orchestrator",
-        "IssueInvestigationOrchestrator",
-    ),
-    "build_github_comment": (
-        ".investigation_report_builder",
-        "build_github_comment",
-    ),
-    "build_summary": (
-        ".investigation_report_builder",
-        "build_summary",
-    ),
-    "RootCauseAnalysis": (".investigation_models", "RootCauseAnalysis"),
-    "ImpactAssessment": (".investigation_models", "ImpactAssessment"),
-    "FixAdvice": (".investigation_models", "FixAdvice"),
-    "ReproductionAnalysis": (".investigation_models", "ReproductionAnalysis"),
-    "ParallelAgentOrchestrator": (".parallel_agent_base", "ParallelAgentOrchestrator"),
     "PRReviewEngine": (".pr_review_engine", "PRReviewEngine"),
     "PromptManager": (".prompt_manager", "PromptManager"),
     "ResponseParser": (".response_parsers", "ResponseParser"),
-    "SpecialistConfig": (".parallel_agent_base", "SpecialistConfig"),
-    "SplitEngine": (".split_engine", "SplitEngine"),
     "TriageEngine": (".triage_engine", "TriageEngine"),
 }
 
@@ -52,22 +26,8 @@ __all__ = [
     "ResponseParser",
     "PRReviewEngine",
     "TriageEngine",
-    "EnrichmentEngine",
-    "SplitEngine",
     "AutoFixProcessor",
     "BatchProcessor",
-    "ParallelAgentOrchestrator",
-    "SpecialistConfig",
-    "InvestigationLabelManager",
-    "InvestigationReport",
-    "InvestigationState",
-    "IssueInvestigationOrchestrator",
-    "build_github_comment",
-    "build_summary",
-    "RootCauseAnalysis",
-    "ImpactAssessment",
-    "FixAdvice",
-    "ReproductionAnalysis",
 ]
 
 # Cache for lazily loaded modules
@@ -85,8 +45,3 @@ def __getattr__(name: str) -> object:
             _loaded[name] = getattr(module, attr_name)
         return _loaded[name]
     raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
-
-
-def __dir__() -> list[str]:
-    """Expose lazy imports in dir() and for static analysis."""
-    return list(_LAZY_IMPORTS.keys())

apps/backend/runners/github/services/autofix_processor.py

@@ -8,11 +8,8 @@ Handles automatic issue fixing workflow including permissions and state manageme
 from __future__ import annotations
 
 import json
-import logging
 from pathlib import Path
 
-logger = logging.getLogger(__name__)
-
 try:
     from ..models import AutoFixState, AutoFixStatus, GitHubRunnerConfig
     from ..permissions import GitHubPermissionChecker
@@ -148,14 +145,7 @@ class AutoFixProcessor:
 
         except Exception as e:
             if state:
-                try:
-                    state.update_status(AutoFixStatus.FAILED)
-                except ValueError:
-                    # Last resort: force-set if transition is invalid
-                    logger.warning(
-                        f"Invalid transition {state.status.value} -> failed, forcing"
-                    )
-                    state.status = AutoFixStatus.FAILED
+                state.status = AutoFixStatus.FAILED
                 state.error = str(e)
                 await state.save(self.github_dir)
             raise

apps/backend/runners/github/services/engine_base.py

@@ -1,52 +0,0 @@
-"""
-Base Engine Class
-=================
-
-Shared functionality for GitHub runner engines (enrichment, split, etc.).
-"""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-
-class EngineBase:
-    """Base class for GitHub analysis engines."""
-
-    def __init__(
-        self,
-        project_dir: Path,
-        github_dir: Path,
-        config,
-        progress_callback=None,
-    ):
-        self.project_dir = Path(project_dir)
-        self.github_dir = Path(github_dir)
-        self.config = config
-        self.progress_callback = progress_callback
-
-    def _report_progress(self, phase: str, progress: int, message: str, **kwargs):
-        """Report progress if callback is set.
-
-        Args:
-            phase: Current phase name (e.g., "analyzing", "generating")
-            progress: Progress percentage (0-100)
-            message: Human-readable progress message
-            **kwargs: Additional context data
-        """
-        if self.progress_callback:
-            import sys
-
-            if "orchestrator" in sys.modules:
-                ProgressCallback = sys.modules["orchestrator"].ProgressCallback
-            else:
-                try:
-                    from ..orchestrator import ProgressCallback
-                except ImportError:
-                    from orchestrator import ProgressCallback
-
-            self.progress_callback(
-                ProgressCallback(
-                    phase=phase, progress=progress, message=message, **kwargs
-                )
-            )

apps/backend/runners/github/services/enrichment_engine.py

@@ -1,223 +0,0 @@
-"""
-Enrichment Engine
-=================
-
-Deep analysis of a single GitHub issue to extract structured enrichment data:
-problem statement, goal, scope, acceptance criteria, technical context, and risks.
-"""
-
-from __future__ import annotations
-
-import json
-import re
-from pathlib import Path
-
-try:
-    from ...phase_config import get_model_betas, resolve_model_id
-    from ..models import GitHubRunnerConfig
-    from .engine_base import EngineBase
-    from .prompt_manager import PromptManager
-except (ImportError, ValueError, SystemError):
-    from models import GitHubRunnerConfig
-    from phase_config import get_model_betas, resolve_model_id
-    from services.engine_base import EngineBase
-    from services.prompt_manager import PromptManager
-
-
-class EnrichmentEngine(EngineBase):
-    """Handles single-issue deep enrichment via AI."""
-
-    def __init__(
-        self,
-        project_dir: Path,
-        github_dir: Path,
-        config: GitHubRunnerConfig,
-        progress_callback=None,
-    ):
-        super().__init__(project_dir, github_dir, config, progress_callback)
-        self.prompt_manager = PromptManager()
-
-    async def enrich_single_issue(self, issue: dict) -> dict:
-        """
-        Perform deep AI enrichment on a single issue.
-
-        Returns dict matching the frontend AIEnrichmentResult interface:
-        {
-            issueNumber, problem, goal, scopeIn, scopeOut,
-            acceptanceCriteria, technicalContext, risksEdgeCases, confidence
-        }
-        """
-        from core.client import create_client
-
-        issue_number = issue["number"]
-
-        self._report_progress(
-            "analyzing",
-            20,
-            f"Analyzing issue #{issue_number}...",
-            issue_number=issue_number,
-        )
-
-        context = self._build_enrichment_context(issue)
-        prompt = self._get_enrichment_prompt() + "\n\n---\n\n" + context
-
-        model_shorthand = self.config.model or "sonnet"
-        model = resolve_model_id(model_shorthand)
-        betas = get_model_betas(model_shorthand)
-        client = create_client(
-            project_dir=self.project_dir,
-            spec_dir=self.github_dir,
-            model=model,
-            agent_type="qa_reviewer",
-            betas=betas,
-            fast_mode=self.config.fast_mode,
-        )
-
-        try:
-            async with client:
-                await client.query(prompt)
-
-                response_text = ""
-                async for msg in client.receive_response():
-                    msg_type = type(msg).__name__
-                    if msg_type == "AssistantMessage" and hasattr(msg, "content"):
-                        for block in msg.content:
-                            block_type = type(block).__name__
-                            if block_type == "TextBlock" and hasattr(block, "text"):
-                                response_text += block.text
-
-                self._report_progress(
-                    "generating",
-                    80,
-                    "Parsing enrichment result...",
-                    issue_number=issue_number,
-                )
-
-                return self._parse_enrichment_result(issue_number, response_text)
-
-        except Exception as e:
-            print(f"Enrichment error for #{issue_number}: {e}")
-            return {
-                "issueNumber": issue_number,
-                "problem": "",
-                "goal": "",
-                "scopeIn": [],
-                "scopeOut": [],
-                "acceptanceCriteria": [],
-                "technicalContext": "",
-                "risksEdgeCases": [],
-                "confidence": 0.0,
-            }
-
-    def _build_enrichment_context(self, issue: dict) -> str:
-        """Build context string for enrichment analysis."""
-        labels = ", ".join(label["name"] for label in issue.get("labels", [])) or "None"
-
-        comments_text = ""
-        comments = issue.get("comments", {})
-        nodes = comments.get("nodes", []) if isinstance(comments, dict) else []
-        if nodes:
-            comment_lines = []
-            for c in nodes[:10]:
-                author = c.get("author", {}).get("login", "unknown")
-                body = c.get("body", "")[:500]
-                comment_lines.append(f"**{author}:** {body}")
-            comments_text = "\n".join(comment_lines)
-
-        lines = [
-            f"## Issue #{issue['number']}",
-            f"**Title:** {issue['title']}",
-            f"**Author:** {issue.get('author', {}).get('login', 'unknown')}",
-            f"**State:** {issue.get('state', 'OPEN')}",
-            f"**Created:** {issue.get('createdAt', 'unknown')}",
-            f"**Labels:** {labels}",
-            "",
-            "### Body",
-            issue.get("body", "No description provided.") or "No description provided.",
-            "",
-        ]
-
-        if comments_text:
-            lines.extend(["### Comments", comments_text, ""])
-
-        return "\n".join(lines)
-
-    def _get_enrichment_prompt(self) -> str:
-        """Get the enrichment analysis prompt."""
-        prompt_file = self.prompt_manager.prompts_dir / "issue_enrichment.md"
-        if prompt_file.exists():
-            return prompt_file.read_text(encoding="utf-8")
-        return self._get_default_enrichment_prompt()
-
-    @staticmethod
-    def _get_default_enrichment_prompt() -> str:
-        """Default enrichment prompt."""
-        return """# Issue Enrichment Agent
-
-You are an issue enrichment assistant. Perform a deep analysis of the GitHub issue
-and extract structured information to help developers understand and implement it.
-
-Analyze the issue and produce:
-
-1. **Problem**: A clear, concise statement of the problem or need being described.
-2. **Goal**: What the desired outcome is — what should be true when the issue is resolved.
-3. **Scope In**: A list of things that ARE in scope for this issue.
-4. **Scope Out**: A list of things that are explicitly NOT in scope.
-5. **Acceptance Criteria**: Specific, testable criteria for considering the issue done.
-6. **Technical Context**: Relevant technical details, architecture notes, or constraints.
-7. **Risks & Edge Cases**: Potential risks, edge cases, or gotchas to watch out for.
-8. **Confidence**: How confident you are in the analysis (0.0 to 1.0). Lower if the issue
-   is vague, missing details, or contradictory.
-
-Output ONLY a JSON block:
-
-```json
-{
-  "problem": "Clear problem statement",
-  "goal": "Desired outcome",
-  "scopeIn": ["Item 1", "Item 2"],
-  "scopeOut": ["Item 1"],
-  "acceptanceCriteria": ["Criterion 1", "Criterion 2"],
-  "technicalContext": "Technical details and constraints",
-  "risksEdgeCases": ["Risk 1", "Edge case 1"],
-  "confidence": 0.85
-}
-```
-"""
-
-    @staticmethod
-    def _parse_enrichment_result(issue_number: int, response_text: str) -> dict:
-        """Parse enrichment result from AI response."""
-        default = {
-            "issueNumber": issue_number,
-            "problem": "",
-            "goal": "",
-            "scopeIn": [],
-            "scopeOut": [],
-            "acceptanceCriteria": [],
-            "technicalContext": "",
-            "risksEdgeCases": [],
-            "confidence": 0.0,
-        }
-
-        try:
-            json_match = re.search(
-                r"```json\s*(\{.*?\})\s*```", response_text, re.DOTALL
-            )
-            if json_match:
-                data = json.loads(json_match.group(1))
-                return {
-                    "issueNumber": issue_number,
-                    "problem": data.get("problem", ""),
-                    "goal": data.get("goal", ""),
-                    "scopeIn": data.get("scopeIn", []),
-                    "scopeOut": data.get("scopeOut", []),
-                    "acceptanceCriteria": data.get("acceptanceCriteria", []),
-                    "technicalContext": data.get("technicalContext", ""),
-                    "risksEdgeCases": data.get("risksEdgeCases", []),
-                    "confidence": float(data.get("confidence", 0.5)),
-                }
-        except (json.JSONDecodeError, KeyError, ValueError) as e:
-            print(f"Failed to parse enrichment result: {e}")
-
-        return default

apps/backend/runners/github/services/investigation_hooks.py

@@ -1,207 +0,0 @@
-"""
-Investigation Safety Hooks
-===========================
-
-PreToolUse hooks for investigation specialist agents.
-
-investigation_bash_guard() validates Bash commands against a strict
-allowlist of read-only, investigation-safe commands. This lets
-specialists run git history commands, test runners, and dependency
-queries without risking destructive operations.
-
-Commands are validated by:
-1. Rejecting dangerous shell operators (;, |, &, `, $(), ${}, redirects)
-2. Checking the base command against INVESTIGATION_BASH_ALLOWLIST
-3. Blocking dangerous find flags (-exec, -execdir, -delete, -ok, -okdir)
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-import re
-import shlex
-from datetime import datetime, timezone
-from typing import Any
-
-try:
-    from .io_utils import safe_print
-except (ImportError, ValueError, SystemError):
-    try:
-        from services.io_utils import safe_print
-    except (ImportError, ModuleNotFoundError):
-        from core.io_utils import safe_print
-
-logger = logging.getLogger(__name__)
-
-# Shell operators and constructs that allow command chaining / injection.
-_DANGEROUS_PATTERNS = re.compile(
-    r"[;|&`]"
-    r"|\$\("
-    r"|\$\{"
-    r"|>\s"
-    r"|<\s"
-    r"|>>",
-)
-
-# find(1) flags that can execute arbitrary commands or delete files.
-_DANGEROUS_FIND_FLAGS = {"-exec", "-execdir", "-delete", "-ok", "-okdir"}
-
-# Commands that investigation agents are allowed to run.
-INVESTIGATION_BASH_ALLOWLIST: list[str] = [
-    # Git history (read-only)
-    "git log",
-    "git show",
-    "git blame",
-    "git diff",
-    "git status",
-    # Test runners
-    "pytest",
-    "python -m pytest",
-    "npm test",
-    "npm run test",
-    "npx vitest",
-    "vitest",
-    "cargo test",
-    # Dependency inspection
-    "pip list",
-    "pip show",
-    "npm ls",
-    "node -v",
-    "node --version",
-    "python -V",
-    "python --version",
-    "python3 --version",
-    # Filesystem exploration
-    "ls",
-    "find",
-    "wc",
-    "cat",
-    "head",
-    "tail",
-    "file",
-    "grep",
-    "rg",
-]
-
-
-def _is_command_safe(command: str) -> bool:
-    """Check if a command is safe for investigation agents.
-
-    Validates that:
-    1. No dangerous shell operators are present (;, |, &, `, $(), redirects)
-    2. The base command is in the allowlist
-    3. ``find`` does not use dangerous flags (-exec, -delete, etc.)
-    """
-    # Reject shell operators that enable command chaining / injection
-    if _DANGEROUS_PATTERNS.search(command):
-        return False
-
-    # Parse into tokens to extract the base command
-    try:
-        tokens = shlex.split(command)
-    except ValueError:
-        return False
-
-    if not tokens:
-        return False
-
-    base_cmd = tokens[0]
-
-    # Check if the base command (or full prefix) is in the allowlist
-    # Both conditions must be true: base command matches AND command starts with allowed prefix
-    base_cmd_allowed = any(
-        base_cmd == allowed or base_cmd == allowed.split()[0]
-        for allowed in INVESTIGATION_BASH_ALLOWLIST
-    )
-    full_prefix_allowed = any(
-        command.startswith(allowed) for allowed in INVESTIGATION_BASH_ALLOWLIST
-    )
-
-    if not (base_cmd_allowed and full_prefix_allowed):
-        return False
-
-    # Extra guard for find: block flags that execute commands or delete files
-    if base_cmd == "find":
-        lower_tokens = {t.lower() for t in tokens}
-        if lower_tokens & _DANGEROUS_FIND_FLAGS:
-            return False
-
-    return True
-
-
-async def investigation_bash_guard(
-    input_data: dict[str, Any],
-    tool_use_id: str | None = None,
-    context: Any | None = None,
-) -> dict[str, Any]:
-    """
-    PreToolUse hook: validate Bash commands for investigation safety.
-
-    Allows only commands that start with an entry in
-    INVESTIGATION_BASH_ALLOWLIST. All other commands are denied.
-
-    Args:
-        input_data: Dict with tool_name and tool_input from SDK
-        tool_use_id: Tool use ID (unused)
-        context: Hook context (unused)
-
-    Returns:
-        Empty dict to allow, or hookSpecificOutput with deny decision
-    """
-    tool_input = input_data.get("tool_input")
-    if not isinstance(tool_input, dict):
-        return {
-            "hookSpecificOutput": {
-                "hookEventName": "PreToolUse",
-                "permissionDecision": "deny",
-                "permissionDecisionReason": "Bash tool_input is missing or malformed",
-            }
-        }
-
-    command = tool_input.get("command", "").strip()
-    if not command:
-        return {
-            "hookSpecificOutput": {
-                "hookEventName": "PreToolUse",
-                "permissionDecision": "deny",
-                "permissionDecisionReason": "Empty Bash command",
-            }
-        }
-
-    # Validate command safety (allowlist + shell-operator rejection)
-    if _is_command_safe(command):
-        logger.debug(f"[InvestigationHook] Allowed: {command[:80]}")
-        return {}
-
-    # Deny with reason
-    logger.info(f"[InvestigationHook] Blocked: {command[:100]}")
-    return {
-        "hookSpecificOutput": {
-            "hookEventName": "PreToolUse",
-            "permissionDecision": "deny",
-            "permissionDecisionReason": (
-                f"Command not allowed during investigation: {command[:100]}"
-            ),
-        }
-    }
-
-
-def emit_json_event(event: str, agent: str, **kwargs: Any) -> None:
-    """Emit a structured JSON event to stdout for the frontend to parse.
-
-    Args:
-        event: Event type (tool_start, tool_end, thinking)
-        agent: Specialist agent name (root_cause, impact, etc.)
-        **kwargs: Additional event data
-    """
-    try:
-        payload = {
-            "event": event,
-            "agent": agent,
-            "ts": datetime.now(timezone.utc).isoformat(),
-            **kwargs,
-        }
-        safe_print(json.dumps(payload, default=str))
-    except Exception:
-        pass  # Never crash a specialist due to event emission failure

apps/backend/runners/github/services/investigation_label_manager.py

@@ -1,245 +0,0 @@
-"""
-Investigation Label Manager
-============================
-
-Manages GitHub lifecycle labels for issue investigations.
-Labels are synced one-way (app -> GitHub) with graceful error handling
-so label failures never crash the investigation pipeline.
-
-Includes debounce logic (5s) on set_investigation_label() to avoid
-rapid-fire GitHub API calls during fast state transitions.
-
-Debounce implementation:
-- Non-terminal states are debounced within a 5-second window
-- Terminal states (findings_ready, task_created, done) bypass debounce
-- Pending state is tracked and applied on the next non-debounced call
-"""
-
-from __future__ import annotations
-
-import logging
-import time
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from ..gh_client import GHClient
-
-logger = logging.getLogger(__name__)
-
-# Debounce window in seconds for label changes per issue
-_LABEL_DEBOUNCE_SECONDS = 5.0
-
-# Default label configuration — can be overridden per-project via config
-DEFAULT_LABEL_CUSTOMIZATION = {
-    "prefix": "auto-claude:",
-    "labels": {
-        "investigating": {
-            "suffix": "investigating",
-            "color": "1d76db",
-            "description": "Auto-Claude is investigating this issue",
-        },
-        "findings_ready": {
-            "suffix": "findings-ready",
-            "color": "0e8a16",
-            "description": "Investigation complete, findings available",
-        },
-        "task_created": {
-            "suffix": "task-created",
-            "color": "5319e7",
-            "description": "Kanban task created from investigation",
-        },
-        "building": {
-            "suffix": "building",
-            "color": "d93f0b",
-            "description": "Task is being built by the pipeline",
-        },
-        "done": {
-            "suffix": "done",
-            "color": "0e8a16",
-            "description": "Investigation complete, issue resolved",
-        },
-    },
-}
-
-
-class InvestigationLabelManager:
-    """Manages GitHub lifecycle labels for issue investigations.
-
-    Labels are synced one-way (app -> GitHub). Label API failures
-    are logged but never propagated to callers.
-    """
-
-    # Terminal states that should never be debounced — these represent
-    # important outcomes that must always be reflected on GitHub.
-    _TERMINAL_STATES: set[str] = {"findings_ready", "task_created", "done", "completed"}
-
-    def __init__(self, customization: dict | None = None) -> None:
-        # Resolve customization from config or defaults
-        custom = customization or {}
-        prefix = custom.get("prefix", DEFAULT_LABEL_CUSTOMIZATION["prefix"])
-        label_overrides = custom.get("labels", {})
-
-        self.labels: dict[str, dict[str, str]] = {}
-        for key, defaults in DEFAULT_LABEL_CUSTOMIZATION["labels"].items():
-            overrides = label_overrides.get(key, {})
-            suffix = overrides.get("suffix", defaults["suffix"])
-            color = overrides.get("color", defaults["color"])
-            description = overrides.get("description", defaults["description"])
-            self.labels[key] = {
-                "name": f"{prefix}{suffix}",
-                "color": color,
-                "description": description,
-            }
-
-        self.all_label_names = [label["name"] for label in self.labels.values()]
-
-        # Track last label-change timestamp per issue for debounce
-        self._last_label_time: dict[int, float] = {}
-        # Track pending (debounced) label state per issue for trailing-edge apply
-        self._pending_state: dict[int, str] = {}
-
-    # Map investigation states to label keys
-    _STATE_MAP: dict[str, str] = {
-        "investigating": "investigating",
-        "findings_ready": "findings_ready",
-        "task_created": "task_created",
-        "building": "building",
-        "done": "done",
-        "completed": "done",
-    }
-
-    async def ensure_labels_exist(self, gh_client: GHClient) -> None:
-        """Create labels in the repo if they don't already exist (idempotent).
-
-        Called once when an investigation starts. Fetches existing labels
-        first to avoid 422 errors from attempting to create duplicates.
-        """
-        # Fetch existing labels to avoid noisy 422 errors
-        existing_names: set[str] = set()
-        try:
-            import json
-
-            result = await gh_client.run(
-                ["api", "--method", "GET", "repos/{owner}/{repo}/labels", "--paginate"],
-                raise_on_error=False,
-            )
-            if result.returncode == 0:
-                for label in json.loads(result.stdout):
-                    existing_names.add(label.get("name", ""))
-        except Exception:
-            pass  # If fetch fails, try creating all labels anyway
-
-        for key, label_def in self.labels.items():
-            if label_def["name"] in existing_names:
-                continue
-            try:
-                await gh_client.run(
-                    [
-                        "api",
-                        "--method",
-                        "POST",
-                        "repos/{owner}/{repo}/labels",
-                        "-f",
-                        f"name={label_def['name']}",
-                        "-f",
-                        f"color={label_def['color']}",
-                        "-f",
-                        f"description={label_def['description']}",
-                    ],
-                    raise_on_error=False,
-                )
-            except Exception as e:
-                logger.debug("Label ensure for %s: %s (may already exist)", key, e)
-
-    async def set_investigation_label(
-        self,
-        gh_client: GHClient,
-        issue_number: int,
-        state: str,
-    ) -> None:
-        """Set the lifecycle label for an issue, removing old ones first.
-
-        Includes a debounce window to avoid rapid-fire GitHub API calls
-        when state transitions happen in quick succession.
-
-        Args:
-            gh_client: GitHub CLI client
-            issue_number: The issue number
-            state: Investigation state (e.g. "investigating", "findings_ready")
-        """
-        label_name = self._state_to_label(state)
-        if label_name is None:
-            logger.warning("Unknown investigation state %r, skipping label sync", state)
-            return
-
-        # Resolve which state to apply: if there was a pending (debounced) state
-        # queued from a previous call, the current call supersedes it.
-        pending = self._pending_state.pop(issue_number, None)
-
-        # Debounce: skip non-terminal states if we changed labels too recently.
-        # Terminal states (findings_ready, task_created, done) always go through
-        # because they represent important outcomes that must be visible on GitHub.
-        now = time.monotonic()
-        last_time = self._last_label_time.get(issue_number, 0.0)
-        is_terminal = state in self._TERMINAL_STATES
-        if not is_terminal and now - last_time < _LABEL_DEBOUNCE_SECONDS:
-            logger.debug(
-                "Debounced label change for issue #%d (%.1fs since last change), "
-                "storing %r as pending",
-                issue_number,
-                now - last_time,
-                state,
-            )
-            # Store the desired state so the next non-debounced call applies it
-            self._pending_state[issue_number] = state
-            return
-
-        # If there was a pending state and the current call supersedes it, log it
-        if pending and pending != state:
-            logger.debug(
-                "Superseding pending label state %r with %r for issue #%d",
-                pending,
-                state,
-                issue_number,
-            )
-
-        try:
-            # Add the new label first (atomic with existing labels via GitHub's API)
-            await gh_client.issue_add_labels(issue_number, [label_name])
-
-            # Then remove all other auto-claude: labels (excluding the one we just added)
-            other_labels = [name for name in self.all_label_names if name != label_name]
-            if other_labels:
-                await gh_client.issue_remove_labels(issue_number, other_labels)
-
-            self._last_label_time[issue_number] = now
-            logger.info("Set label %s on issue #%d", label_name, issue_number)
-        except Exception as e:
-            logger.warning(
-                "Failed to set label %s on issue #%d: %s",
-                label_name,
-                issue_number,
-                e,
-            )
-
-    async def remove_all_investigation_labels(
-        self,
-        gh_client: GHClient,
-        issue_number: int,
-    ) -> None:
-        """Remove all auto-claude: lifecycle labels from an issue."""
-        try:
-            await gh_client.issue_remove_labels(issue_number, self.all_label_names)
-        except Exception as e:
-            logger.debug(
-                "Failed to remove investigation labels from #%d: %s",
-                issue_number,
-                e,
-            )
-
-    def _state_to_label(self, state: str) -> str | None:
-        """Map an investigation state string to a GitHub label name."""
-        key = self._STATE_MAP.get(state)
-        if key is None:
-            return None
-        return self.labels[key]["name"]

apps/backend/runners/github/services/investigation_models.py

@@ -1,319 +0,0 @@
-"""
-Investigation Pydantic Models
-==============================
-
-Structured output models for the AI issue investigation system.
-
-Each specialist agent (root cause, impact, fix advisor, reproducer) returns
-a structured response validated against these schemas. The combined results
-form an InvestigationReport.
-
-Usage with Claude Agent SDK structured output:
-    from .investigation_models import RootCauseAnalysis
-
-    client = create_client(
-        ...,
-        output_format={
-            "type": "json_schema",
-            "schema": RootCauseAnalysis.model_json_schema(),
-        },
-    )
-"""
-
-from __future__ import annotations
-
-from typing import Literal
-
-from pydantic import BaseModel, Field
-
-# =============================================================================
-# Shared Sub-Models
-# =============================================================================
-
-
-class CodePath(BaseModel):
-    """A reference to a specific code location involved in the issue."""
-
-    file: str = Field(description="File path relative to project root")
-    start_line: int = Field(description="Start line number")
-    end_line: int | None = Field(
-        None, description="End line number (None if single line)"
-    )
-    description: str = Field(
-        description="What this code location does / why it matters"
-    )
-
-
-class SuggestedLabel(BaseModel):
-    """An AI-suggested label for the GitHub issue."""
-
-    name: str = Field(description="Label name (e.g., 'bug', 'security', 'performance')")
-    reason: str = Field(description="Why this label is appropriate for the issue")
-    accepted: bool | None = Field(
-        None, description="Whether the user accepted this suggestion (None = pending)"
-    )
-
-
-class LinkedPR(BaseModel):
-    """A pull request linked to or referenced by the issue."""
-
-    number: int = Field(description="PR number")
-    title: str = Field(description="PR title")
-    status: Literal["open", "merged", "closed"] = Field(description="PR status")
-
-
-# =============================================================================
-# Root Cause Analyzer
-# =============================================================================
-
-
-class RootCauseAnalysis(BaseModel):
-    """Structured output from the Root Cause Analyzer agent."""
-
-    identified_root_cause: str = Field(
-        description="Clear description of the identified root cause"
-    )
-    code_paths: list[CodePath] = Field(
-        default_factory=list,
-        description="Code paths involved in the issue, ordered from entry point to root cause",
-    )
-    confidence: Literal["high", "medium", "low"] = Field(
-        description="Confidence in the root cause identification"
-    )
-    evidence: str = Field(
-        description="Evidence supporting the root cause identification (code snippets, traces)"
-    )
-    related_issues: list[str] = Field(
-        default_factory=list,
-        description="Patterns or known issue categories this matches (e.g., 'race condition', 'null reference')",
-    )
-    likely_already_fixed: bool = Field(
-        False,
-        description="True if evidence suggests this issue has already been resolved",
-    )
-
-
-# =============================================================================
-# Impact Assessor
-# =============================================================================
-
-
-class AffectedComponent(BaseModel):
-    """A component or module affected by the issue."""
-
-    file: str = Field(description="File path of the affected component")
-    component: str = Field(description="Component or module name")
-    impact_type: str = Field(
-        description="How this component is affected (e.g. direct, indirect, dependency)"
-    )
-    description: str = Field(description="Description of the impact on this component")
-
-
-class ImpactAssessment(BaseModel):
-    """Structured output from the Impact Assessor agent."""
-
-    severity: Literal["critical", "high", "medium", "low"] = Field(
-        description="Overall severity of the issue based on impact"
-    )
-    affected_components: list[AffectedComponent] = Field(
-        default_factory=list,
-        description="Components/modules affected by this issue",
-    )
-    blast_radius: str = Field(
-        description="Description of how far-reaching the impact is"
-    )
-    user_impact: str = Field(description="How end users are affected by this issue")
-    regression_risk: str = Field(description="Risk of regression if fixing this issue")
-
-
-# =============================================================================
-# Fix Advisor
-# =============================================================================
-
-
-class FixApproach(BaseModel):
-    """A concrete approach to fixing the issue."""
-
-    description: str = Field(description="Description of the fix approach")
-    complexity: Literal["simple", "moderate", "complex"] = Field(
-        description="Estimated complexity of implementing this fix"
-    )
-    files_affected: list[str] = Field(
-        default_factory=list,
-        description="Files that would need to be modified",
-    )
-    pros: list[str] = Field(
-        default_factory=list,
-        description="Advantages of this approach",
-    )
-    cons: list[str] = Field(
-        default_factory=list,
-        description="Disadvantages or risks of this approach",
-    )
-
-
-class PatternReference(BaseModel):
-    """A reference to an existing codebase pattern to follow."""
-
-    file: str = Field(description="File containing the pattern")
-    description: str = Field(description="What pattern to follow and why")
-
-
-class FixAdvice(BaseModel):
-    """Structured output from the Fix Advisor agent."""
-
-    approaches: list[FixApproach] = Field(
-        default_factory=list,
-        description="Possible fix approaches, ordered by recommendation",
-    )
-    recommended_approach: int = Field(
-        0,
-        description="Index into approaches list for the recommended approach",
-    )
-    files_to_modify: list[str] = Field(
-        default_factory=list,
-        description="All files that need modification across all approaches",
-    )
-    patterns_to_follow: list[PatternReference] = Field(
-        default_factory=list,
-        description="Existing codebase patterns the fix should follow for consistency",
-    )
-    gotchas: list[str] = Field(
-        default_factory=list,
-        description="Potential pitfalls and things to watch out for when implementing the fix",
-    )
-
-
-# =============================================================================
-# Reproducer
-# =============================================================================
-
-
-class TestCoverage(BaseModel):
-    """Assessment of existing test coverage for the affected code."""
-
-    has_existing_tests: bool = Field(
-        description="Whether there are existing tests for the affected code"
-    )
-    test_files: list[str] = Field(
-        default_factory=list,
-        description="Existing test files that cover the affected code paths",
-    )
-    coverage_assessment: str = Field(
-        description="Assessment of how well the affected code is tested"
-    )
-
-
-class ReproductionAnalysis(BaseModel):
-    """Structured output from the Reproducer agent."""
-
-    reproducible: str = Field(
-        description="Whether the issue can be reproduced (e.g. yes, likely, unlikely, no)"
-    )
-    reproduction_steps: list[str] = Field(
-        default_factory=list,
-        description="Steps to reproduce the issue",
-    )
-    test_coverage: TestCoverage = Field(
-        description="Assessment of existing test coverage"
-    )
-    related_test_files: list[str] = Field(
-        default_factory=list,
-        description="Test files related to the affected code",
-    )
-    suggested_test_approach: str = Field(
-        description="How to write a test that verifies the fix"
-    )
-
-
-# =============================================================================
-# Combined Investigation Report
-# =============================================================================
-
-
-class InvestigationReport(BaseModel):
-    """Combined report from all 4 specialist agents.
-
-    This is the authoritative investigation result saved to disk and
-    displayed in the UI. It aggregates all agent outputs plus metadata.
-    """
-
-    issue_number: int = Field(description="GitHub issue number")
-    issue_title: str = Field(description="GitHub issue title")
-    investigation_id: str = Field(description="Unique investigation ID")
-    timestamp: str = Field(description="ISO 8601 timestamp of investigation completion")
-
-    # Agent results
-    root_cause: RootCauseAnalysis = Field(description="Root cause analysis results")
-    impact: ImpactAssessment = Field(description="Impact assessment results")
-    fix_advice: FixAdvice = Field(description="Fix advice results")
-    reproduction: ReproductionAnalysis = Field(
-        description="Reproduction analysis results"
-    )
-
-    # Overall assessment
-    ai_summary: str = Field(
-        description="AI-generated summary combining all agent findings"
-    )
-    severity: Literal["critical", "high", "medium", "low"] = Field(
-        description="Overall severity computed from agent assessments"
-    )
-    likely_resolved: bool = Field(
-        False,
-        description="True if evidence suggests the issue has already been resolved",
-    )
-
-    # Metadata
-    suggested_labels: list[SuggestedLabel] = Field(
-        default_factory=list,
-        description="AI-suggested labels for the issue",
-    )
-    linked_prs: list[LinkedPR] = Field(
-        default_factory=list,
-        description="Pull requests linked to this issue",
-    )
-
-
-# =============================================================================
-# Investigation State
-# =============================================================================
-
-
-class InvestigationState(BaseModel):
-    """Persistent state for an issue investigation.
-
-    Saved to .auto-claude/issues/{issueNumber}/investigation_state.json.
-    State is primarily derived from investigation data + linked task status,
-    but we persist key fields for fast lookup without scanning all files.
-    """
-
-    issue_number: int = Field(description="GitHub issue number")
-    spec_id: str | None = Field(
-        None, description="Pre-allocated spec ID (e.g., '042-fix-login-bug')"
-    )
-    status: Literal[
-        "investigating",
-        "findings_ready",
-        "resolved",
-        "failed",
-        "cancelled",
-        "task_created",
-    ] = Field(description="Current investigation status")
-    started_at: str = Field(description="ISO 8601 timestamp when investigation started")
-    completed_at: str | None = Field(
-        None, description="ISO 8601 timestamp when investigation completed"
-    )
-    error: str | None = Field(None, description="Error message if investigation failed")
-    linked_spec_id: str | None = Field(
-        None, description="Spec ID of the kanban task created from this investigation"
-    )
-    github_comment_id: int | None = Field(
-        None, description="ID of the GitHub comment posted with results"
-    )
-    model_used: str | None = Field(
-        None, description="Model used for investigation (e.g., 'sonnet')"
-    )
-    sessions: dict[str, str | None] = Field(
-        default_factory=dict,
-        description="SDK session IDs per specialist for resume support. Keys are specialist names, values are session IDs or None.",
-    )

apps/backend/runners/github/services/investigation_persistence.py

@@ -1,425 +0,0 @@
-"""
-Investigation Persistence Layer
-================================
-
-Read/write operations for .auto-claude/issues/{issueNumber}/ directory.
-
-All writes use write_json_atomic() to prevent corruption from concurrent
-access or crashes. Directory structure:
-
-    .auto-claude/issues/
-      {issueNumber}/
-        investigation_report.json    # Full findings from all 4 agents
-        investigation_state.json     # Status, timestamps, linked spec ID
-        agent_logs/                  # Per-agent log files
-          root_cause.log
-          impact.log
-          fix_advisor.log
-          reproducer.log
-        suggested_labels.json        # AI-suggested labels with accept/reject
-"""
-
-from __future__ import annotations
-
-import json
-import logging
-from pathlib import Path
-from typing import Any
-
-try:
-    from ...core.file_utils import atomic_write, write_json_atomic
-    from .investigation_models import InvestigationReport, InvestigationState
-except (ImportError, ValueError, SystemError):
-    from core.file_utils import atomic_write, write_json_atomic
-
-    try:
-        from services.investigation_models import (
-            InvestigationReport,
-            InvestigationState,
-        )
-    except (ImportError, ModuleNotFoundError):
-        from investigation_models import InvestigationReport, InvestigationState
-
-logger = logging.getLogger(__name__)
-
-
-def get_issues_dir(project_dir: Path) -> Path:
-    """Get the base issues directory, creating it if needed."""
-    d = project_dir / ".auto-claude" / "issues"
-    d.mkdir(parents=True, exist_ok=True)
-    return d
-
-
-def get_issue_dir(project_dir: Path, issue_number: int) -> Path:
-    """Get the directory for a specific issue, creating it if needed."""
-    d = get_issues_dir(project_dir) / str(issue_number)
-    d.mkdir(parents=True, exist_ok=True)
-    return d
-
-
-# =============================================================================
-# Investigation State
-# =============================================================================
-
-
-def save_investigation_state(
-    project_dir: Path,
-    issue_number: int,
-    state: InvestigationState | dict[str, Any],
-) -> Path:
-    """Save investigation state to disk.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        state: Investigation state (Pydantic model or raw dict)
-
-    Returns:
-        Path to the saved state file
-    """
-    issue_path = get_issue_dir(project_dir, issue_number)
-    state_file = issue_path / "investigation_state.json"
-    data = (
-        state.model_dump(mode="json")
-        if isinstance(state, InvestigationState)
-        else state
-    )
-    write_json_atomic(state_file, data)
-    status = (
-        state.status
-        if isinstance(state, InvestigationState)
-        else state.get("status", "?")
-    )
-    logger.debug(f"Saved investigation state for issue #{issue_number}: {status}")
-    return state_file
-
-
-def load_investigation_state(
-    project_dir: Path,
-    issue_number: int,
-) -> InvestigationState | None:
-    """Load investigation state from disk.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        InvestigationState if found, None otherwise
-    """
-    state_file = get_issue_dir(project_dir, issue_number) / "investigation_state.json"
-    if not state_file.exists():
-        return None
-
-    try:
-        data = json.loads(state_file.read_text(encoding="utf-8"))
-        return InvestigationState.model_validate(data)
-    except Exception as e:
-        logger.error(
-            f"Failed to load investigation state for issue #{issue_number}: {e}"
-        )
-        return None
-
-
-# =============================================================================
-# Investigation Report
-# =============================================================================
-
-
-def save_investigation_report(
-    project_dir: Path,
-    issue_number: int,
-    report: InvestigationReport,
-) -> Path:
-    """Save investigation report to disk.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        report: Investigation report to save
-
-    Returns:
-        Path to the saved report file
-    """
-    issue_path = get_issue_dir(project_dir, issue_number)
-    report_file = issue_path / "investigation_report.json"
-    write_json_atomic(report_file, report.model_dump(mode="json"))
-    logger.debug(f"Saved investigation report for issue #{issue_number}")
-    return report_file
-
-
-def load_investigation_report(
-    project_dir: Path,
-    issue_number: int,
-) -> InvestigationReport | None:
-    """Load investigation report from disk.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        InvestigationReport if found, None otherwise
-    """
-    report_file = get_issue_dir(project_dir, issue_number) / "investigation_report.json"
-    if not report_file.exists():
-        return None
-
-    try:
-        data = json.loads(report_file.read_text(encoding="utf-8"))
-        return InvestigationReport.model_validate(data)
-    except Exception as e:
-        logger.error(
-            f"Failed to load investigation report for issue #{issue_number}: {e}"
-        )
-        return None
-
-
-# =============================================================================
-# Agent Logs
-# =============================================================================
-
-
-def save_agent_log(
-    project_dir: Path,
-    issue_number: int,
-    agent_name: str,
-    log_content: str,
-) -> Path:
-    """Save an agent's log output to disk (atomic write).
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        agent_name: Name of the agent (e.g., 'root_cause', 'impact')
-        log_content: Log text to save
-
-    Returns:
-        Path to the saved log file
-    """
-    logs_dir = get_issue_dir(project_dir, issue_number) / "agent_logs"
-    logs_dir.mkdir(parents=True, exist_ok=True)
-    log_file = logs_dir / f"{agent_name}.log"
-    # Use atomic write to prevent corruption from concurrent access
-    with atomic_write(log_file, "w", encoding="utf-8") as f:
-        f.write(log_content)
-    logger.debug(f"Saved agent log for issue #{issue_number}/{agent_name}")
-    return log_file
-
-
-# =============================================================================
-# GitHub Comment Tracking
-# =============================================================================
-
-
-def save_github_comment_id(
-    project_dir: Path,
-    issue_number: int,
-    comment_id: int,
-) -> None:
-    """Save the GitHub comment ID for the posted investigation results (atomic write).
-
-    Also updates the investigation state with the comment ID.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        comment_id: GitHub comment ID
-    """
-    # Save to dedicated file for quick lookup (atomic write)
-    issue_path = get_issue_dir(project_dir, issue_number)
-    comment_file = issue_path / "github_comment_id"
-    # Use atomic write to prevent corruption from concurrent access
-    with atomic_write(comment_file, "w", encoding="utf-8") as f:
-        f.write(str(comment_id))
-
-    # Also update state if it exists
-    state = load_investigation_state(project_dir, issue_number)
-    if state:
-        state.github_comment_id = comment_id
-        save_investigation_state(project_dir, issue_number, state)
-
-    logger.debug(f"Saved GitHub comment ID {comment_id} for issue #{issue_number}")
-
-
-def load_github_comment_id(
-    project_dir: Path,
-    issue_number: int,
-) -> int | None:
-    """Load the GitHub comment ID for posted investigation results.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        Comment ID if found, None otherwise
-    """
-    comment_file = get_issue_dir(project_dir, issue_number) / "github_comment_id"
-    if not comment_file.exists():
-        return None
-
-    try:
-        return int(comment_file.read_text(encoding="utf-8").strip())
-    except (ValueError, OSError) as e:
-        logger.warning(
-            f"Failed to load GitHub comment ID for issue #{issue_number}: {e}"
-        )
-        return None
-
-
-# =============================================================================
-# Suggested Labels
-# =============================================================================
-
-
-def save_suggested_labels(
-    project_dir: Path,
-    issue_number: int,
-    labels: list[dict[str, Any]],
-) -> None:
-    """Save AI-suggested labels for the issue.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        labels: List of label dicts with name, reason, confidence, accepted status
-    """
-    labels_file = get_issue_dir(project_dir, issue_number) / "suggested_labels.json"
-    write_json_atomic(labels_file, labels)
-    logger.debug(f"Saved {len(labels)} suggested labels for issue #{issue_number}")
-
-
-def load_suggested_labels(
-    project_dir: Path,
-    issue_number: int,
-) -> list[dict[str, Any]]:
-    """Load AI-suggested labels for the issue.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        List of label dicts, empty list if not found
-    """
-    labels_file = get_issue_dir(project_dir, issue_number) / "suggested_labels.json"
-    if not labels_file.exists():
-        return []
-
-    try:
-        data = json.loads(labels_file.read_text(encoding="utf-8"))
-        return data if isinstance(data, list) else []
-    except Exception as e:
-        logger.warning(
-            f"Failed to load suggested labels for issue #{issue_number}: {e}"
-        )
-        return []
-
-
-# =============================================================================
-# Session Persistence (Resume Support)
-# =============================================================================
-
-
-def save_specialist_session(
-    project_dir: Path,
-    issue_number: int,
-    specialist_name: str,
-    session_id: str,
-) -> None:
-    """Save a specialist's SDK session ID for resume support.
-
-    Updates the sessions dict in investigation_state.json using atomic
-    write to prevent file corruption.
-
-    Note: While the write itself is atomic, there remains a theoretical
-    TOCTOU (time-of-check-time-of-use) race between read and write if
-    multiple processes update the same issue state simultaneously. In
-    practice, investigations are single-process per issue, so this is
-    acceptable for the low-severity nature of session tracking.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        specialist_name: Specialist name (root_cause, impact, etc.)
-        session_id: SDK session ID
-    """
-    state = load_investigation_state(project_dir, issue_number)
-    if state is None:
-        logger.warning(
-            f"Cannot save session for issue #{issue_number}: no investigation state"
-        )
-        return
-
-    state.sessions[specialist_name] = session_id
-    save_investigation_state(project_dir, issue_number, state)
-    logger.debug(
-        f"Saved session ID for issue #{issue_number}/{specialist_name}: {session_id[:20]}..."
-    )
-
-
-def load_specialist_sessions(
-    project_dir: Path,
-    issue_number: int,
-) -> dict[str, str | None]:
-    """Load all specialist session IDs for an investigation.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        Dict mapping specialist name to session ID (or None)
-    """
-    state = load_investigation_state(project_dir, issue_number)
-    if state is None:
-        return {}
-    return state.sessions
-
-
-# =============================================================================
-# Listing & Querying
-# =============================================================================
-
-
-def list_investigated_issues(
-    project_dir: Path,
-) -> list[int]:
-    """List all issue numbers that have investigation data.
-
-    Args:
-        project_dir: Project root directory
-
-    Returns:
-        Sorted list of issue numbers
-    """
-    issues_dir = project_dir / ".auto-claude" / "issues"
-    if not issues_dir.exists():
-        return []
-
-    issue_numbers = []
-    for entry in issues_dir.iterdir():
-        if entry.is_dir():
-            try:
-                issue_numbers.append(int(entry.name))
-            except ValueError:
-                continue
-
-    return sorted(issue_numbers)
-
-
-def has_investigation(
-    project_dir: Path,
-    issue_number: int,
-) -> bool:
-    """Check if an issue has any investigation data.
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-
-    Returns:
-        True if investigation data exists
-    """
-    return (project_dir / ".auto-claude" / "issues" / str(issue_number)).exists()

apps/backend/runners/github/services/investigation_report_builder.py

@@ -1,199 +0,0 @@
-"""
-Investigation Report Builder
-==============================
-
-Transforms an InvestigationReport into formatted output:
-- build_github_comment(): Branded markdown for posting to GitHub issues
-- build_summary(): One-paragraph summary for list display
-"""
-
-from __future__ import annotations
-
-from datetime import datetime, timezone
-
-try:
-    from .investigation_models import InvestigationReport
-except (ImportError, ValueError, SystemError):
-    try:
-        from services.investigation_models import InvestigationReport
-    except (ImportError, ModuleNotFoundError):
-        from investigation_models import InvestigationReport
-
-
-def build_github_comment(report: InvestigationReport) -> str:
-    """Produce branded markdown for a GitHub issue comment.
-
-    Args:
-        report: The investigation report to format
-
-    Returns:
-        Markdown string suitable for posting as a GitHub comment
-    """
-    lines: list[str] = []
-
-    # Header
-    lines.append("## Auto-Claude Investigation")
-    lines.append("")
-    confidence = report.root_cause.confidence
-    lines.append(f"**Severity:** {report.severity} | **Confidence:** {confidence}")
-    lines.append("")
-
-    # Summary
-    lines.append("### Summary")
-    lines.append(report.ai_summary)
-    lines.append("")
-
-    # Already-resolved warning
-    if report.likely_resolved:
-        lines.append(
-            "> **Note:** Evidence suggests this issue may have already been resolved."
-        )
-        lines.append("")
-
-    # Root Cause Analysis (collapsible)
-    lines.append("<details>")
-    lines.append("<summary>Root Cause Analysis</summary>")
-    lines.append("")
-    lines.append(f"**Root Cause:** {report.root_cause.identified_root_cause}")
-    lines.append("")
-
-    if report.root_cause.code_paths:
-        lines.append("**Code Paths:**")
-        lines.append("")
-        lines.append("| File | Lines | Description |")
-        lines.append("|------|-------|-------------|")
-        for cp in report.root_cause.code_paths:
-            end = cp.end_line if cp.end_line else cp.start_line
-            lines.append(f"| `{cp.file}` | {cp.start_line}-{end} | {cp.description} |")
-        lines.append("")
-
-    lines.append(f"**Evidence:** {report.root_cause.evidence}")
-    lines.append("")
-    lines.append("</details>")
-    lines.append("")
-
-    # Impact Assessment (collapsible)
-    lines.append("<details>")
-    lines.append("<summary>Impact Assessment</summary>")
-    lines.append("")
-    lines.append(f"**Severity:** {report.impact.severity}")
-    lines.append(f"**Blast Radius:** {report.impact.blast_radius}")
-    lines.append(f"**User Impact:** {report.impact.user_impact}")
-    lines.append(f"**Regression Risk:** {report.impact.regression_risk}")
-    lines.append("")
-
-    if report.impact.affected_components:
-        lines.append("**Affected Components:**")
-        lines.append("")
-        lines.append("| Component | File | Type | Description |")
-        lines.append("|-----------|------|------|-------------|")
-        for ac in report.impact.affected_components:
-            lines.append(
-                f"| {ac.component} | `{ac.file}` | {ac.impact_type} | {ac.description} |"
-            )
-        lines.append("")
-
-    lines.append("</details>")
-    lines.append("")
-
-    # Fix Recommendations (collapsible)
-    lines.append("<details>")
-    lines.append("<summary>Fix Recommendations</summary>")
-    lines.append("")
-
-    for i, approach in enumerate(report.fix_advice.approaches):
-        recommended = (
-            " **(recommended)**" if i == report.fix_advice.recommended_approach else ""
-        )
-        lines.append(f"**Approach {i + 1}:** {approach.description}{recommended}")
-        lines.append(f"- Complexity: {approach.complexity}")
-        if approach.pros:
-            lines.append(f"- Pros: {', '.join(approach.pros)}")
-        if approach.cons:
-            lines.append(f"- Cons: {', '.join(approach.cons)}")
-        lines.append("")
-
-    if report.fix_advice.files_to_modify:
-        lines.append(
-            "**Files to Modify:** "
-            + ", ".join(f"`{f}`" for f in report.fix_advice.files_to_modify)
-        )
-        lines.append("")
-
-    if report.fix_advice.gotchas:
-        lines.append("**Gotchas:**")
-        for gotcha in report.fix_advice.gotchas:
-            lines.append(f"- {gotcha}")
-        lines.append("")
-
-    lines.append("</details>")
-    lines.append("")
-
-    # Reproduction & Testing (collapsible)
-    lines.append("<details>")
-    lines.append("<summary>Reproduction & Testing</summary>")
-    lines.append("")
-    lines.append(f"**Reproducible:** {report.reproduction.reproducible}")
-    lines.append("")
-
-    if report.reproduction.reproduction_steps:
-        lines.append("**Steps:**")
-        for j, step in enumerate(report.reproduction.reproduction_steps, 1):
-            lines.append(f"{j}. {step}")
-        lines.append("")
-
-    lines.append(
-        f"**Test Coverage:** {report.reproduction.test_coverage.coverage_assessment}"
-    )
-    lines.append(
-        f"**Suggested Test Approach:** {report.reproduction.suggested_test_approach}"
-    )
-    lines.append("")
-    lines.append("</details>")
-    lines.append("")
-
-    # Suggested Labels
-    if report.suggested_labels:
-        lines.append("### Suggested Labels")
-        for label in report.suggested_labels:
-            lines.append(f"- `{label.name}` - {label.reason}")
-        lines.append("")
-
-    # Footer
-    timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC")
-    lines.append("---")
-    lines.append(
-        f"*Generated by [Auto-Claude](https://github.com/AndyMik90/Auto-Claude) "
-        f"* {timestamp}*"
-    )
-
-    return "\n".join(lines)
-
-
-def build_summary(report: InvestigationReport) -> str:
-    """Build a one-paragraph summary for list display (max ~200 chars).
-
-    Args:
-        report: The investigation report to summarize
-
-    Returns:
-        A short summary string
-    """
-    severity = report.severity.upper()
-    confidence = report.root_cause.confidence
-    cause = report.root_cause.identified_root_cause
-
-    summary = f"[{severity}] {cause}"
-
-    # Add resolution note if relevant
-    if report.likely_resolved:
-        summary += " (likely resolved)"
-
-    # Add confidence
-    summary += f" [{confidence} confidence]"
-
-    # Truncate to ~200 chars
-    if len(summary) > 200:
-        summary = summary[:197] + "..."
-
-    return summary

apps/backend/runners/github/services/investigation_spec_generator.py

@@ -1,225 +0,0 @@
-"""
-Investigation Spec Generator
-==============================
-
-Template-based spec generation from investigation reports.
-NO AI cost - uses string templates to transform investigation data
-into spec.md and requirements.json for the build pipeline.
-
-Usage:
-    spec_path = generate_spec_from_investigation(
-        project_dir=Path("/project"),
-        issue_number=42,
-        spec_id="042-fix-login-bug",
-    )
-"""
-
-from __future__ import annotations
-
-import logging
-from pathlib import Path
-
-try:
-    from ...core.file_utils import write_json_atomic
-except (ImportError, ValueError, SystemError):
-    from core.file_utils import write_json_atomic
-
-from .investigation_models import InvestigationReport
-from .investigation_persistence import load_investigation_report
-
-logger = logging.getLogger(__name__)
-
-
-def generate_spec_from_investigation(
-    project_dir: Path,
-    issue_number: int,
-    spec_id: str,
-) -> Path:
-    """Generate a spec directory from an investigation report.
-
-    This is a template-based transformation (no AI cost). It reads
-    the investigation report and produces:
-    - spec.md: Markdown spec from the AI summary, root cause, and fix advice
-    - requirements.json: Requirements derived from fix approaches
-    - investigation_report.json: Copy of the original report for reference
-
-    Args:
-        project_dir: Project root directory
-        issue_number: GitHub issue number
-        spec_id: Spec identifier (e.g., '042-fix-login-bug')
-
-    Returns:
-        Path to the created spec directory
-
-    Raises:
-        FileNotFoundError: If no investigation report exists for the issue
-    """
-    # Load investigation report
-    report = load_investigation_report(project_dir, issue_number)
-    if report is None:
-        raise FileNotFoundError(
-            f"No investigation report found for issue #{issue_number}. "
-            "Run investigation first."
-        )
-
-    # Create spec directory
-    spec_dir = project_dir / ".auto-claude" / "specs" / spec_id
-    spec_dir.mkdir(parents=True, exist_ok=True)
-
-    # Generate spec.md
-    spec_md = _build_spec_md(report)
-    (spec_dir / "spec.md").write_text(spec_md, encoding="utf-8")
-
-    # Generate requirements.json
-    requirements = _build_requirements(report)
-    write_json_atomic(spec_dir / "requirements.json", requirements)
-
-    # Copy investigation report for reference
-    report_data = report.model_dump(mode="json")
-    write_json_atomic(spec_dir / "investigation_report.json", report_data)
-
-    logger.info(
-        f"Generated spec '{spec_id}' from investigation of issue #{issue_number}"
-    )
-    return spec_dir
-
-
-def _build_spec_md(report: InvestigationReport) -> str:
-    """Build spec.md content from investigation report.
-
-    Args:
-        report: The investigation report
-
-    Returns:
-        Markdown string for spec.md
-    """
-    lines: list[str] = []
-
-    # Title
-    lines.append(f"# Fix: {report.issue_title}")
-    lines.append("")
-    lines.append(
-        f"> Generated from investigation of GitHub issue #{report.issue_number}"
-    )
-    lines.append("")
-
-    # Summary
-    lines.append("## Summary")
-    lines.append("")
-    lines.append(report.ai_summary)
-    lines.append("")
-
-    # Root Cause
-    lines.append("## Root Cause")
-    lines.append("")
-    lines.append(report.root_cause.identified_root_cause)
-    lines.append("")
-
-    if report.root_cause.code_paths:
-        lines.append("### Affected Code Paths")
-        lines.append("")
-        for cp in report.root_cause.code_paths:
-            end = cp.end_line if cp.end_line else cp.start_line
-            lines.append(f"- `{cp.file}:{cp.start_line}-{end}` - {cp.description}")
-        lines.append("")
-
-    # Fix Approach
-    lines.append("## Implementation Plan")
-    lines.append("")
-
-    if report.fix_advice.approaches:
-        rec_idx = report.fix_advice.recommended_approach
-        if 0 <= rec_idx < len(report.fix_advice.approaches):
-            approach = report.fix_advice.approaches[rec_idx]
-            lines.append(f"**Recommended approach:** {approach.description}")
-            lines.append(f"- Complexity: {approach.complexity}")
-            lines.append("")
-
-            if approach.files_affected:
-                lines.append("**Files to modify:**")
-                for f in approach.files_affected:
-                    lines.append(f"- `{f}`")
-                lines.append("")
-
-    # Patterns to follow
-    if report.fix_advice.patterns_to_follow:
-        lines.append("### Patterns to Follow")
-        lines.append("")
-        for pat in report.fix_advice.patterns_to_follow:
-            lines.append(f"- `{pat.file}`: {pat.description}")
-        lines.append("")
-
-    # Gotchas
-    if report.fix_advice.gotchas:
-        lines.append("### Gotchas")
-        lines.append("")
-        for gotcha in report.fix_advice.gotchas:
-            lines.append(f"- {gotcha}")
-        lines.append("")
-
-    # Testing
-    lines.append("## Testing")
-    lines.append("")
-    lines.append(
-        f"**Suggested approach:** {report.reproduction.suggested_test_approach}"
-    )
-    lines.append("")
-
-    if report.reproduction.test_coverage.test_files:
-        lines.append("**Existing test files:**")
-        for tf in report.reproduction.test_coverage.test_files:
-            lines.append(f"- `{tf}`")
-        lines.append("")
-
-    # Impact
-    lines.append("## Impact")
-    lines.append("")
-    lines.append(f"- **Severity:** {report.impact.severity}")
-    lines.append(f"- **Blast radius:** {report.impact.blast_radius}")
-    lines.append(f"- **User impact:** {report.impact.user_impact}")
-    lines.append(f"- **Regression risk:** {report.impact.regression_risk}")
-    lines.append("")
-
-    return "\n".join(lines)
-
-
-def _build_requirements(report: InvestigationReport) -> dict:
-    """Build requirements.json from investigation report.
-
-    Args:
-        report: The investigation report
-
-    Returns:
-        Dict structure for requirements.json
-    """
-    requirements: list[dict] = []
-
-    # Generate requirements from fix approaches
-    for i, approach in enumerate(report.fix_advice.approaches):
-        is_recommended = i == report.fix_advice.recommended_approach
-        req = {
-            "id": f"REQ-{i + 1:03d}",
-            "description": approach.description,
-            "priority": "must" if is_recommended else "should",
-            "complexity": approach.complexity,
-            "files": approach.files_affected,
-        }
-        requirements.append(req)
-
-    # Add testing requirement
-    requirements.append(
-        {
-            "id": f"REQ-{len(requirements) + 1:03d}",
-            "description": f"Add tests: {report.reproduction.suggested_test_approach}",
-            "priority": "must",
-            "complexity": "moderate",
-            "files": report.reproduction.related_test_files,
-        }
-    )
-
-    return {
-        "issue_number": report.issue_number,
-        "issue_title": report.issue_title,
-        "severity": report.severity,
-        "requirements": requirements,
-    }

apps/backend/runners/github/services/parallel_agent_base.py

@@ -1,417 +0,0 @@
-"""
-Parallel Agent Orchestrator Base
-=================================
-
-Abstract base class for parallel specialist agent orchestration.
-
-Extracts shared patterns from the PR review parallel orchestrator so that
-both PR review and issue investigation can reuse:
-- SpecialistConfig dataclass for agent definition
-- Prompt loading from prompts/github/ directory
-- SDK session creation and stream processing
-- asyncio.gather-based parallel execution
-- Progress reporting via callback
-
-Subclasses must implement domain-specific logic (prompt building, result
-parsing, verdict generation, etc.).
-"""
-
-from __future__ import annotations
-
-import asyncio
-import logging
-import os
-from dataclasses import dataclass
-from pathlib import Path
-from typing import Any
-
-try:
-    from ...core.client import create_client
-    from ...phase_config import (
-        get_model_betas,
-        get_thinking_kwargs_for_model,
-    )
-    from .io_utils import safe_print
-    from .sdk_utils import process_sdk_stream
-except (ImportError, ValueError, SystemError):
-    from core.client import create_client
-    from phase_config import (
-        get_model_betas,
-        get_thinking_kwargs_for_model,
-    )
-    from services.io_utils import safe_print
-    from services.sdk_utils import process_sdk_stream
-
-
-logger = logging.getLogger(__name__)
-
-# Import investigation Bash safety hook (lazy - only used when Bash is in tools)
-_investigation_bash_guard = None
-
-
-def _get_investigation_bash_guard():
-    """Lazy-import the investigation Bash guard to avoid circular imports."""
-    global _investigation_bash_guard
-    if _investigation_bash_guard is None:
-        try:
-            from .investigation_hooks import investigation_bash_guard
-
-            _investigation_bash_guard = investigation_bash_guard
-        except (ImportError, ValueError, SystemError):
-            try:
-                from services.investigation_hooks import investigation_bash_guard
-
-                _investigation_bash_guard = investigation_bash_guard
-            except (ImportError, ModuleNotFoundError):
-                from investigation_hooks import investigation_bash_guard
-
-                _investigation_bash_guard = investigation_bash_guard
-    return _investigation_bash_guard
-
-
-# Check if debug mode is enabled
-DEBUG_MODE = os.environ.get("DEBUG", "").lower() in ("true", "1", "yes")
-
-
-@dataclass
-class SpecialistConfig:
-    """Configuration for a specialist agent in parallel SDK sessions."""
-
-    name: str
-    prompt_file: str
-    tools: list[str]
-    description: str
-    max_turns: int = 30
-
-
-class ParallelAgentOrchestrator:
-    """
-    Base class for parallel specialist agent orchestration.
-
-    Provides shared infrastructure for running multiple Claude SDK sessions
-    in parallel via asyncio.gather(). Subclasses define their own specialist
-    configurations, prompt building, and result parsing.
-
-    Shared capabilities:
-    - Load prompt files from prompts/github/ directory
-    - Run individual specialist SDK sessions with structured output
-    - Run multiple specialists in parallel and collect results
-    - Report progress via callback
-    """
-
-    def __init__(
-        self,
-        project_dir: Path,
-        github_dir: Path,
-        config: Any,
-        progress_callback: Any = None,
-    ):
-        self.project_dir = Path(project_dir)
-        self.github_dir = Path(github_dir)
-        self.config = config
-        self.progress_callback = progress_callback
-
-    def _report_progress(self, phase: str, progress: int, message: str, **kwargs):
-        """Report progress if callback is set."""
-        if self.progress_callback:
-            import sys
-
-            if "orchestrator" in sys.modules:
-                ProgressCallback = sys.modules["orchestrator"].ProgressCallback
-            else:
-                try:
-                    from ..orchestrator import ProgressCallback
-                except ImportError:
-                    from orchestrator import ProgressCallback
-
-            self.progress_callback(
-                ProgressCallback(
-                    phase=phase, progress=progress, message=message, **kwargs
-                )
-            )
-
-    def _load_prompt(self, filename: str) -> str:
-        """Load a prompt file from the prompts/github directory."""
-        prompt_file = (
-            Path(__file__).parent.parent.parent.parent / "prompts" / "github" / filename
-        )
-        if prompt_file.exists():
-            return prompt_file.read_text(encoding="utf-8")
-        logger.warning(f"Prompt file not found: {prompt_file}")
-        return ""
-
-    async def _run_specialist_session(
-        self,
-        config: SpecialistConfig,
-        prompt: str,
-        project_root: Path,
-        model: str,
-        thinking_budget: int | None,
-        output_schema: dict[str, Any] | None = None,
-        agent_type: str = "pr_reviewer",
-        context_name: str | None = None,
-        max_messages: int | None = None,
-        on_thinking: Any | None = None,
-        on_tool_use: Any | None = None,
-        on_tool_result: Any | None = None,
-        resume_session_id: str | None = None,
-        thinking_level: str | None = None,
-        effort_level: str | None = None,
-    ) -> dict[str, Any]:
-        """Run a single specialist as its own SDK session.
-
-        This is the generic version that accepts a pre-built prompt and
-        output schema. Subclasses build domain-specific prompts and parse
-        results from the returned dict.
-
-        Args:
-            config: Specialist configuration
-            prompt: Full system prompt (already built by subclass)
-            project_root: Working directory for the agent
-            model: Model to use
-            thinking_budget: Max thinking tokens
-            output_schema: JSON schema dict for structured output (optional)
-            agent_type: Agent type for create_client (e.g., "pr_reviewer",
-                       "investigation_specialist")
-            context_name: Name for logging (defaults to "Specialist:{config.name}")
-            max_messages: Optional max message count for stream processing
-
-        Returns:
-            Dict with keys from process_sdk_stream:
-            - result_text: Raw text output
-            - structured_output: Parsed structured output (if schema provided)
-            - error: Error message (if any)
-            - msg_count: Total message count
-        """
-        log_name = context_name or f"Specialist:{config.name}"
-
-        safe_print(
-            f"[{log_name}] Starting analysis...",
-            flush=True,
-        )
-
-        try:
-            # Create SDK client for this specialist
-            # Use per-specialist model for betas (not the global config model)
-            betas = get_model_betas(model or self.config.model or "sonnet")
-
-            # Get thinking budget - use explicit budget if provided, otherwise derive from thinking level
-            if thinking_budget is not None:
-                thinking_kwargs = {"max_thinking_tokens": thinking_budget}
-            else:
-                # Use per-specialist thinking level when provided
-                effective_thinking = (
-                    thinking_level or self.config.thinking_level or "medium"
-                )
-                thinking_kwargs = get_thinking_kwargs_for_model(
-                    model, effective_thinking
-                )
-
-            # Override effort_level if explicitly provided (e.g., investigation
-            # agents always use "high" effort regardless of thinking level).
-            # Only applies to adaptive models (Opus 4.6+) where thinking_kwargs
-            # includes effort_level; non-adaptive models silently skip this.
-            if effort_level and "effort_level" in thinking_kwargs:
-                thinking_kwargs["effort_level"] = effort_level
-
-            client_kwargs: dict[str, Any] = {
-                "project_dir": project_root,
-                "spec_dir": self.github_dir,
-                "model": model,
-                "agent_type": agent_type,
-                "betas": betas,
-                "fast_mode": self.config.fast_mode,
-                **thinking_kwargs,
-            }
-
-            if output_schema:
-                client_kwargs["output_format"] = {
-                    "type": "json_schema",
-                    "schema": output_schema,
-                }
-
-            client = create_client(**client_kwargs)
-
-            # Resume previous session if session ID provided
-            if resume_session_id:
-                client.options.resume = resume_session_id
-                safe_print(
-                    f"[{log_name}] Resuming session: {resume_session_id[:20]}..."
-                )
-
-            # Add investigation Bash safety hook if agent has Bash access
-            if "Bash" in config.tools:
-                try:
-                    from claude_agent_sdk.types import HookMatcher
-
-                    bash_guard = _get_investigation_bash_guard()
-                    existing_hooks = client.options.hooks or {}
-                    pre_tool_hooks = existing_hooks.get("PreToolUse", [])
-                    pre_tool_hooks.append(
-                        HookMatcher(matcher="Bash", hooks=[bash_guard])
-                    )
-                    existing_hooks["PreToolUse"] = pre_tool_hooks
-                    client.options.hooks = existing_hooks
-                except ImportError:
-                    logger.warning(
-                        f"[{log_name}] Could not import HookMatcher — "
-                        "Bash access will be unguarded"
-                    )
-
-            async with client:
-                await client.query(prompt)
-
-                # Capture session ID for resume support
-                session_id = getattr(client, "session_id", None)
-
-                # Build stream kwargs
-                stream_kwargs: dict[str, Any] = {
-                    "client": client,
-                    "context_name": log_name,
-                    "model": model,
-                    "system_prompt": prompt,
-                    "agent_definitions": {},
-                }
-                if max_messages is not None:
-                    stream_kwargs["max_messages"] = max_messages
-                if on_thinking is not None:
-                    stream_kwargs["on_thinking"] = on_thinking
-                if on_tool_use is not None:
-                    stream_kwargs["on_tool_use"] = on_tool_use
-                if on_tool_result is not None:
-                    stream_kwargs["on_tool_result"] = on_tool_result
-
-                stream_result = await process_sdk_stream(**stream_kwargs)
-
-                error = stream_result.get("error")
-                if error:
-                    logger.error(f"[{log_name}] SDK stream failed: {error}")
-                    safe_print(
-                        f"[{log_name}] Analysis failed: {error}",
-                        flush=True,
-                    )
-
-                return {**stream_result, "session_id": session_id}
-
-        except Exception as e:
-            logger.error(
-                f"[{log_name}] Session failed: {e}",
-                exc_info=True,
-            )
-            safe_print(
-                f"[{log_name}] Error: {e}",
-                flush=True,
-            )
-            return {
-                "result_text": "",
-                "structured_output": None,
-                "error": str(e),
-                "msg_count": 0,
-            }
-
-    async def _run_parallel_specialists(
-        self,
-        tasks: list[asyncio.Task | Any],
-        orchestrator_name: str = "ParallelOrchestrator",
-        retry_tasks: list[Any] | None = None,
-        retry_configs: list[dict[str, Any]] | None = None,
-    ) -> list[Any]:
-        """Run pre-built async tasks in parallel and collect results.
-
-        Failed specialists are retried once before being discarded.
-        If retry_tasks is provided, it should be a list of callables
-        (0-arg coroutine factories) that can recreate the coroutine
-        for a retry attempt.
-
-        Results preserve positional order: result[i] corresponds to tasks[i].
-        Failed specialists (after retry) are represented as None in the list.
-
-        Args:
-            tasks: List of coroutines/tasks to run in parallel
-            orchestrator_name: Name for logging
-            retry_tasks: Optional list of 0-arg callables that recreate
-                        the coroutine for each task (same order as tasks).
-                        If None, failed tasks are not retried.
-            retry_configs: Optional list of dicts with retry configuration:
-                        - name: Specialist name for logging
-                        - lifecycle_wrapper: Optional callable that wraps a coroutine
-                          with lifecycle events (agent_started, agent_done)
-
-        Returns:
-            List of results preserving original task order.
-            Failed tasks are None; successful tasks contain the result dict.
-        """
-        safe_print(
-            f"[{orchestrator_name}] Launching {len(tasks)} specialists in parallel...",
-            flush=True,
-        )
-
-        results = await asyncio.gather(*tasks, return_exceptions=True)
-
-        # Build position-indexed result map
-        result_map: dict[int, Any] = {}
-        failed_indices: list[int] = []
-        for i, result in enumerate(results):
-            if isinstance(result, Exception):
-                logger.error(f"[{orchestrator_name}] Specialist task failed: {result}")
-                failed_indices.append(i)
-            else:
-                result_map[i] = result
-
-        # Retry failed specialists once if retry factories are provided
-        if failed_indices and retry_tasks:
-            retryable = [
-                (idx, retry_tasks[idx])
-                for idx in failed_indices
-                if idx < len(retry_tasks) and retry_tasks[idx] is not None
-            ]
-            if retryable:
-                safe_print(
-                    f"[{orchestrator_name}] Retrying {len(retryable)} failed specialist(s)...",
-                    flush=True,
-                )
-                # Apply lifecycle wrapper to retry coroutines if provided
-                retry_coroutines = []
-                for idx, factory in retryable:
-                    coro = factory()
-                    # Apply lifecycle wrapper if available for this task
-                    if retry_configs and idx < len(retry_configs):
-                        config = retry_configs[idx]
-                        wrapper = config.get("lifecycle_wrapper")
-                        if wrapper:
-                            spec_name = config.get("name", f"specialist_{idx}")
-                            coro = wrapper(spec_name, coro)
-                    retry_coroutines.append(coro)
-
-                retry_results = await asyncio.gather(
-                    *retry_coroutines, return_exceptions=True
-                )
-                still_failing = []
-                for (idx, _), retry_result in zip(retryable, retry_results):
-                    if isinstance(retry_result, Exception):
-                        logger.error(
-                            f"[{orchestrator_name}] Retry also failed for specialist {idx}: {retry_result}"
-                        )
-                        still_failing.append(idx)
-                    else:
-                        safe_print(
-                            f"[{orchestrator_name}] Retry succeeded for specialist {idx}",
-                            flush=True,
-                        )
-                        result_map[idx] = retry_result
-
-                # Log final summary of permanently failed specialists
-                if still_failing:
-                    logger.error(
-                        f"[{orchestrator_name}] Specialists {still_failing} failed permanently after retry"
-                    )
-
-        succeeded = len(result_map)
-        safe_print(
-            f"[{orchestrator_name}] All specialists complete. "
-            f"{succeeded}/{len(tasks)} succeeded.",
-            flush=True,
-        )
-
-        # Return ordered list preserving original positions (None for failures)
-        return [result_map.get(i) for i in range(len(tasks))]

apps/backend/runners/github/services/parallel_orchestrator_reviewer.py

@@ -17,10 +17,12 @@ Key Design:
 
 from __future__ import annotations
 
+import asyncio
 import hashlib
 import logging
 import os
 from collections import defaultdict
+from dataclasses import dataclass
 from pathlib import Path
 from typing import Any
 
@@ -51,7 +53,6 @@ try:
     from .agent_utils import create_working_dir_injector
     from .category_utils import map_category
     from .io_utils import safe_print
-    from .parallel_agent_base import ParallelAgentOrchestrator, SpecialistConfig
     from .pr_worktree_manager import PRWorktreeManager
     from .pydantic_models import (
         AgentAgreement,
@@ -82,7 +83,6 @@ except (ImportError, ValueError, SystemError):
     from services.agent_utils import create_working_dir_injector
     from services.category_utils import map_category
     from services.io_utils import safe_print
-    from services.parallel_agent_base import ParallelAgentOrchestrator, SpecialistConfig
     from services.pr_worktree_manager import PRWorktreeManager
     from services.pydantic_models import (
         AgentAgreement,
@@ -96,7 +96,16 @@ except (ImportError, ValueError, SystemError):
 # =============================================================================
 # Specialist Configuration for Parallel SDK Sessions
 # =============================================================================
-# SpecialistConfig is imported from parallel_agent_base.py
+
+
+@dataclass
+class SpecialistConfig:
+    """Configuration for a specialist agent in parallel SDK sessions."""
+
+    name: str
+    prompt_file: str
+    tools: list[str]
+    description: str
 
 
 # Define specialist configurations
@@ -173,7 +182,7 @@ def _is_finding_in_scope(
     return True, "In scope"
 
 
-class ParallelOrchestratorReviewer(ParallelAgentOrchestrator):
+class ParallelOrchestratorReviewer:
     """
     PR reviewer using SDK subagents for parallel specialist analysis.
 
@@ -185,12 +194,6 @@ class ParallelOrchestratorReviewer(ParallelAgentOrchestrator):
     Model Configuration:
     - Orchestrator uses user-configured model from frontend settings
     - Specialist agents use model="inherit" (same as orchestrator)
-
-    Inherits from ParallelAgentOrchestrator:
-    - _report_progress() — progress callback
-    - _load_prompt() — loads from prompts/github/ directory
-    - _run_specialist_session() — generic SDK session runner
-    - _run_parallel_specialists() — asyncio.gather wrapper
     """
 
     def __init__(
@@ -200,9 +203,41 @@ class ParallelOrchestratorReviewer(ParallelAgentOrchestrator):
         config: GitHubRunnerConfig,
         progress_callback=None,
     ):
-        super().__init__(project_dir, github_dir, config, progress_callback)
+        self.project_dir = Path(project_dir)
+        self.github_dir = Path(github_dir)
+        self.config = config
+        self.progress_callback = progress_callback
         self.worktree_manager = PRWorktreeManager(project_dir, PR_WORKTREE_DIR)
 
+    def _report_progress(self, phase: str, progress: int, message: str, **kwargs):
+        """Report progress if callback is set."""
+        if self.progress_callback:
+            import sys
+
+            if "orchestrator" in sys.modules:
+                ProgressCallback = sys.modules["orchestrator"].ProgressCallback
+            else:
+                try:
+                    from ..orchestrator import ProgressCallback
+                except ImportError:
+                    from orchestrator import ProgressCallback
+
+            self.progress_callback(
+                ProgressCallback(
+                    phase=phase, progress=progress, message=message, **kwargs
+                )
+            )
+
+    def _load_prompt(self, filename: str) -> str:
+        """Load a prompt file from the prompts/github directory."""
+        prompt_file = (
+            Path(__file__).parent.parent.parent.parent / "prompts" / "github" / filename
+        )
+        if prompt_file.exists():
+            return prompt_file.read_text(encoding="utf-8")
+        logger.warning(f"Prompt file not found: {prompt_file}")
+        return ""
+
     def _create_pr_worktree(self, head_sha: str, pr_number: int) -> Path:
         """Create a temporary worktree at the PR head commit.
 
@@ -440,7 +475,7 @@ Report findings with specific file paths, line numbers, and code evidence.
 
         return prompt_with_cwd + pr_context
 
-    async def _run_pr_specialist_session(
+    async def _run_specialist_session(
         self,
         config: SpecialistConfig,
         context: PRContext,
@@ -448,10 +483,7 @@ Report findings with specific file paths, line numbers, and code evidence.
         model: str,
         thinking_budget: int | None,
     ) -> tuple[str, list[PRReviewFinding]]:
-        """Run a single PR review specialist as its own SDK session.
-
-        Builds the PR-specific prompt, delegates to the base class's generic
-        _run_specialist_session(), then parses findings from the result.
+        """Run a single specialist as its own SDK session.
 
         Args:
             config: Specialist configuration
@@ -463,36 +495,84 @@ Report findings with specific file paths, line numbers, and code evidence.
         Returns:
             Tuple of (specialist_name, findings)
         """
-        # Build the specialist prompt with PR context
-        prompt = self._build_specialist_prompt(config, context, project_root)
-
-        # Delegate to base class generic session runner
-        stream_result = await super()._run_specialist_session(
-            config=config,
-            prompt=prompt,
-            project_root=project_root,
-            model=model,
-            thinking_budget=thinking_budget,
-            output_schema=SpecialistResponse.model_json_schema(),
-            agent_type="pr_reviewer",
-        )
-
-        error = stream_result.get("error")
-        if error:
-            return (config.name, [])
-
-        # Parse structured output into PRReviewFindings
-        structured_output = stream_result.get("structured_output")
-        findings = self._parse_specialist_output(
-            config.name, structured_output, stream_result.get("result_text", "")
-        )
-
         safe_print(
-            f"[Specialist:{config.name}] Complete: {len(findings)} findings",
+            f"[Specialist:{config.name}] Starting analysis...",
             flush=True,
         )
 
-        return (config.name, findings)
+        # Build the specialist prompt with PR context
+        prompt = self._build_specialist_prompt(config, context, project_root)
+
+        try:
+            # Create SDK client for this specialist
+            # Note: Agent type uses the generic "pr_reviewer" since individual
+            # specialist types aren't registered in AGENT_CONFIGS. The specialist-specific
+            # system prompt handles differentiation.
+            # Get betas from model shorthand (before resolution to full ID)
+            betas = get_model_betas(self.config.model or "sonnet")
+            thinking_kwargs = get_thinking_kwargs_for_model(
+                model, self.config.thinking_level or "medium"
+            )
+            client = create_client(
+                project_dir=project_root,
+                spec_dir=self.github_dir,
+                model=model,
+                agent_type="pr_reviewer",
+                betas=betas,
+                fast_mode=self.config.fast_mode,
+                output_format={
+                    "type": "json_schema",
+                    "schema": SpecialistResponse.model_json_schema(),
+                },
+                **thinking_kwargs,
+            )
+
+            async with client:
+                await client.query(prompt)
+
+                # Process SDK stream
+                stream_result = await process_sdk_stream(
+                    client=client,
+                    context_name=f"Specialist:{config.name}",
+                    model=model,
+                    system_prompt=prompt,
+                    agent_definitions={},  # No subagents for specialists
+                )
+
+                error = stream_result.get("error")
+                if error:
+                    logger.error(
+                        f"[Specialist:{config.name}] SDK stream failed: {error}"
+                    )
+                    safe_print(
+                        f"[Specialist:{config.name}] Analysis failed: {error}",
+                        flush=True,
+                    )
+                    return (config.name, [])
+
+                # Parse structured output
+                structured_output = stream_result.get("structured_output")
+                findings = self._parse_specialist_output(
+                    config.name, structured_output, stream_result.get("result_text", "")
+                )
+
+                safe_print(
+                    f"[Specialist:{config.name}] Complete: {len(findings)} findings",
+                    flush=True,
+                )
+
+                return (config.name, findings)
+
+        except Exception as e:
+            logger.error(
+                f"[Specialist:{config.name}] Session failed: {e}",
+                exc_info=True,
+            )
+            safe_print(
+                f"[Specialist:{config.name}] Error: {e}",
+                flush=True,
+            )
+            return (config.name, [])
 
     def _parse_specialist_output(
         self,
@@ -517,8 +597,9 @@ Report findings with specific file paths, line numbers, and code evidence.
                 result = SpecialistResponse.model_validate(structured_output)
 
                 for f in result.findings:
-                    finding_id = hashlib.sha256(
+                    finding_id = hashlib.md5(
                         f"{f.file}:{f.line}:{f.title}".encode(),
+                        usedforsecurity=False,
                     ).hexdigest()[:12]
 
                     category = map_category(f.category)
@@ -592,8 +673,9 @@ Report findings with specific file paths, line numbers, and code evidence.
                 line = f.get("line", 0) or 0
                 title = f.get("title", "Unknown issue")
 
-                finding_id = hashlib.sha256(
+                finding_id = hashlib.md5(
                     f"{file_path}:{line}:{title}".encode(),
+                    usedforsecurity=False,
                 ).hexdigest()[:12]
 
                 category = map_category(f.get("category", "quality"))
@@ -625,17 +707,14 @@ Report findings with specific file paths, line numbers, and code evidence.
 
         return findings
 
-    async def _run_parallel_pr_specialists(
+    async def _run_parallel_specialists(
         self,
         context: PRContext,
         project_root: Path,
         model: str,
         thinking_budget: int | None,
     ) -> tuple[list[PRReviewFinding], list[str]]:
-        """Run all PR review specialists in parallel and collect findings.
-
-        Uses the base class's _run_parallel_specialists() for the gather
-        pattern, with PR-specific task creation and result parsing.
+        """Run all specialists in parallel and collect findings.
 
         Args:
             context: PR context
@@ -646,47 +725,42 @@ Report findings with specific file paths, line numbers, and code evidence.
         Returns:
             Tuple of (all_findings, agents_invoked)
         """
-
-        # Build coroutine factories so failed specialists can be retried
-        def _make_pr_specialist_factory(cfg: SpecialistConfig):
-            def factory():
-                return self._run_pr_specialist_session(
-                    config=cfg,
-                    context=context,
-                    project_root=project_root,
-                    model=model,
-                    thinking_budget=thinking_budget,
-                )
-
-            return factory
-
-        coroutines = []
-        retry_factories = []
-        for config in SPECIALIST_CONFIGS:
-            factory = _make_pr_specialist_factory(config)
-            coroutines.append(factory())
-            retry_factories.append(factory)
-
-        # Run all specialists in parallel via base class (with retry-once)
-        valid_results = await super()._run_parallel_specialists(
-            tasks=coroutines,
-            orchestrator_name="ParallelOrchestrator",
-            retry_tasks=retry_factories,
+        safe_print(
+            f"[ParallelOrchestrator] Launching {len(SPECIALIST_CONFIGS)} specialists in parallel...",
+            flush=True,
         )
 
+        # Create tasks for all specialists
+        tasks = [
+            self._run_specialist_session(
+                config=config,
+                context=context,
+                project_root=project_root,
+                model=model,
+                thinking_budget=thinking_budget,
+            )
+            for config in SPECIALIST_CONFIGS
+        ]
+
+        # Run all specialists in parallel
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+
         # Collect findings and track which agents ran
         all_findings: list[PRReviewFinding] = []
         agents_invoked: list[str] = []
 
-        for result in valid_results:
-            if result is None:
+        for result in results:
+            if isinstance(result, Exception):
+                logger.error(f"[ParallelOrchestrator] Specialist task failed: {result}")
                 continue
+
             specialist_name, findings = result
             agents_invoked.append(specialist_name)
             all_findings.extend(findings)
 
         safe_print(
-            f"[ParallelOrchestrator] Total findings: {len(all_findings)}",
+            f"[ParallelOrchestrator] All specialists complete. "
+            f"Total findings: {len(all_findings)}",
             flush=True,
         )
 
@@ -888,8 +962,9 @@ The SDK will run invoked agents in parallel automatically.
         Returns:
             PRReviewFinding instance
         """
-        finding_id = hashlib.sha256(
+        finding_id = hashlib.md5(
             f"{finding_data.file}:{finding_data.line}:{finding_data.title}".encode(),
+            usedforsecurity=False,
         ).hexdigest()[:12]
 
         category = map_category(finding_data.category)
@@ -1118,7 +1193,7 @@ The SDK will run invoked agents in parallel automatically.
             # =================================================================
 
             # Run all specialists in parallel
-            findings, agents_invoked = await self._run_parallel_pr_specialists(
+            findings, agents_invoked = await self._run_parallel_specialists(
                 context=context,
                 project_root=project_root,
                 model=model,
@@ -1427,8 +1502,9 @@ The SDK will run invoked agents in parallel automatically.
         Returns:
             PRReviewFinding instance
         """
-        finding_id = hashlib.sha256(
+        finding_id = hashlib.md5(
             f"{f_data.get('file', 'unknown')}:{f_data.get('line', 0)}:{f_data.get('title', 'Untitled')}".encode(),
+            usedforsecurity=False,
         ).hexdigest()[:12]
 
         category = map_category(f_data.get("category", "quality"))

apps/backend/runners/github/services/sdk_utils.py

@@ -280,8 +280,6 @@ async def process_sdk_stream(
     # Track subagent tool IDs to log their results
     subagent_tool_ids: dict[str, str] = {}  # tool_id -> agent_name
     completed_agent_tool_ids: set[str] = set()  # tool_ids of completed agents
-    # Track StructuredOutput tool submissions for fallback capture
-    _pending_structured_output: dict[str, dict[str, Any]] = {}  # tool_id -> tool_input
     # Track tool concurrency errors for retry logic
     detected_concurrency_error = False
     # Track repeated identical responses to detect error loops early
@@ -402,10 +400,7 @@ async def process_sdk_stream(
                             safe_print(
                                 f"[{context_name}] Delegation prompt for {agent_name}: {prompt_preview}"
                             )
-                    elif tool_name == "StructuredOutput":
-                        # Track StructuredOutput submission for fallback capture
-                        _pending_structured_output[tool_id] = tool_input
-                    else:
+                    elif tool_name != "StructuredOutput":
                         # Log meaningful tool info (not just tool name)
                         tool_detail = _get_tool_detail(tool_name, tool_input)
                         safe_print(f"[{context_name}] {tool_detail}")
@@ -451,15 +446,6 @@ async def process_sdk_stream(
                                 f"[{context_name}] Tool result [{status}]: {result_preview}{'...' if len(str(result_content)) > 100 else ''}"
                             )
 
-                    # Capture validated StructuredOutput tool data as fallback
-                    if tool_id in _pending_structured_output:
-                        if not is_error:
-                            # Tool validation passed — save as fallback
-                            _pending_structured_output[tool_id]["_validated"] = True
-                        else:
-                            # Validation failed — discard this attempt
-                            del _pending_structured_output[tool_id]
-
                     # Invoke callback
                     if on_tool_result:
                         on_tool_result(tool_id, is_error, result_content)
@@ -492,10 +478,7 @@ async def process_sdk_stream(
                                     safe_print(
                                         f"[{context_name}] Invoking agent: {agent_name}{model_info}"
                                     )
-                            elif tool_name == "StructuredOutput":
-                                # Track StructuredOutput submission for fallback
-                                _pending_structured_output[tool_id] = tool_input
-                            else:
+                            elif tool_name != "StructuredOutput":
                                 # Log meaningful tool info (not just tool name)
                                 tool_detail = _get_tool_detail(tool_name, tool_input)
                                 safe_print(f"[{context_name}] {tool_detail}")
@@ -640,15 +623,6 @@ async def process_sdk_stream(
                                     f"[Agent:{agent_name}] {status}: {result_preview}{'...' if len(str(result_content)) > 600 else ''}"
                                 )
 
-                            # Capture validated StructuredOutput tool data as fallback
-                            if tool_id in _pending_structured_output:
-                                if not is_error:
-                                    _pending_structured_output[tool_id][
-                                        "_validated"
-                                    ] = True
-                                else:
-                                    del _pending_structured_output[tool_id]
-
                             # Invoke callback
                             if on_tool_result:
                                 on_tool_result(tool_id, is_error, result_content)
@@ -679,19 +653,6 @@ async def process_sdk_stream(
 
     safe_print(f"[{context_name}] Session ended. Total messages: {msg_count}")
 
-    # Fallback: if ResultMessage didn't carry structured_output, use validated
-    # StructuredOutput tool data (the agent submitted valid JSON but the
-    # ResultMessage didn't propagate it — observed in parallel sessions).
-    if structured_output is None and _pending_structured_output:
-        for tid, data in _pending_structured_output.items():
-            if data.pop("_validated", False):
-                structured_output = data
-                safe_print(
-                    f"[{context_name}] Using StructuredOutput tool fallback "
-                    f"(ResultMessage did not carry structured_output)"
-                )
-                break
-
     # Set error flag if tool concurrency error was detected
     if detected_concurrency_error and not stream_error:
         stream_error = "tool_use_concurrency_error"

apps/backend/runners/github/services/split_engine.py

@@ -1,199 +0,0 @@
-"""
-Split Engine
-============
-
-AI-powered issue decomposition: analyzes a single GitHub issue and suggests
-how to split it into smaller, well-scoped sub-issues.
-"""
-
-from __future__ import annotations
-
-import json
-import re
-from pathlib import Path
-
-try:
-    from ...phase_config import get_model_betas, resolve_model_id
-    from ..models import GitHubRunnerConfig
-    from .engine_base import EngineBase
-    from .prompt_manager import PromptManager
-except (ImportError, ValueError, SystemError):
-    from models import GitHubRunnerConfig
-    from phase_config import get_model_betas, resolve_model_id
-    from services.engine_base import EngineBase
-    from services.prompt_manager import PromptManager
-
-
-class SplitEngine(EngineBase):
-    """Handles issue split suggestion via AI."""
-
-    def __init__(
-        self,
-        project_dir: Path,
-        github_dir: Path,
-        config: GitHubRunnerConfig,
-        progress_callback=None,
-    ):
-        super().__init__(project_dir, github_dir, config, progress_callback)
-        self.prompt_manager = PromptManager()
-
-    async def suggest_split(self, issue: dict) -> dict:
-        """
-        Analyze an issue and suggest how to split it into sub-issues.
-
-        Returns dict matching the frontend SplitSuggestion interface:
-        {
-            issueNumber, subIssues: [{title, body, labels}], rationale, confidence
-        }
-        """
-        from core.client import create_client
-
-        issue_number = issue["number"]
-
-        self._report_progress(
-            "analyzing",
-            20,
-            f"Analyzing issue #{issue_number} for splitting...",
-            issue_number=issue_number,
-        )
-
-        context = self._build_split_context(issue)
-        prompt = self._get_split_prompt() + "\n\n---\n\n" + context
-
-        model_shorthand = self.config.model or "sonnet"
-        model = resolve_model_id(model_shorthand)
-        betas = get_model_betas(model_shorthand)
-        client = create_client(
-            project_dir=self.project_dir,
-            spec_dir=self.github_dir,
-            model=model,
-            agent_type="qa_reviewer",
-            betas=betas,
-            fast_mode=self.config.fast_mode,
-        )
-
-        try:
-            async with client:
-                await client.query(prompt)
-
-                response_text = ""
-                async for msg in client.receive_response():
-                    msg_type = type(msg).__name__
-                    if msg_type == "AssistantMessage" and hasattr(msg, "content"):
-                        for block in msg.content:
-                            block_type = type(block).__name__
-                            if block_type == "TextBlock" and hasattr(block, "text"):
-                                response_text += block.text
-
-                self._report_progress(
-                    "suggesting",
-                    80,
-                    "Parsing split suggestion...",
-                    issue_number=issue_number,
-                )
-
-                return self._parse_split_result(issue_number, response_text)
-
-        except Exception as e:
-            print(f"Split error for #{issue_number}: {e}")
-            return {
-                "issueNumber": issue_number,
-                "subIssues": [],
-                "rationale": f"Analysis failed: {e}",
-                "confidence": 0.0,
-            }
-
-    def _build_split_context(self, issue: dict) -> str:
-        """Build context string for split analysis."""
-        labels = ", ".join(label["name"] for label in issue.get("labels", [])) or "None"
-
-        lines = [
-            f"## Issue #{issue['number']}",
-            f"**Title:** {issue['title']}",
-            f"**Author:** {issue.get('author', {}).get('login', 'unknown')}",
-            f"**Labels:** {labels}",
-            "",
-            "### Body",
-            issue.get("body", "No description provided.") or "No description provided.",
-            "",
-        ]
-
-        return "\n".join(lines)
-
-    def _get_split_prompt(self) -> str:
-        """Get the split suggestion prompt."""
-        prompt_file = self.prompt_manager.prompts_dir / "issue_split.md"
-        if prompt_file.exists():
-            return prompt_file.read_text(encoding="utf-8")
-        return self._get_default_split_prompt()
-
-    @staticmethod
-    def _get_default_split_prompt() -> str:
-        """Default split suggestion prompt."""
-        return """# Issue Split Agent
-
-You are an issue decomposition assistant. Analyze the GitHub issue and suggest
-how to break it down into smaller, well-scoped sub-issues.
-
-Guidelines:
-- Each sub-issue should be independently implementable
-- Sub-issues should have clear scope boundaries
-- Aim for 2-5 sub-issues (no more than 8)
-- Each sub-issue should have a descriptive title, detailed body, and relevant labels
-- The body should reference the parent issue number
-- Preserve the original issue's labels where relevant
-
-Output ONLY a JSON block:
-
-```json
-{
-  "subIssues": [
-    {
-      "title": "Descriptive sub-issue title",
-      "body": "Detailed description of what this sub-issue covers.\\n\\nPart of #PARENT_NUMBER.",
-      "labels": ["type:feature", "component:frontend"]
-    }
-  ],
-  "rationale": "Why this issue should be split and how the sub-issues relate",
-  "confidence": 0.85
-}
-```
-"""
-
-    @staticmethod
-    def _parse_split_result(issue_number: int, response_text: str) -> dict:
-        """Parse split suggestion from AI response."""
-        default = {
-            "issueNumber": issue_number,
-            "subIssues": [],
-            "rationale": "",
-            "confidence": 0.0,
-        }
-
-        try:
-            json_match = re.search(
-                r"```json\s*(\{.*?\})\s*```", response_text, re.DOTALL
-            )
-            if json_match:
-                data = json.loads(json_match.group(1))
-
-                sub_issues = []
-                for sub in data.get("subIssues", []):
-                    sub_issues.append(
-                        {
-                            "title": sub.get("title", ""),
-                            "body": sub.get("body", ""),
-                            "labels": sub.get("labels", []),
-                        }
-                    )
-
-                return {
-                    "issueNumber": issue_number,
-                    "subIssues": sub_issues,
-                    "rationale": data.get("rationale", ""),
-                    "confidence": float(data.get("confidence", 0.5)),
-                }
-        except (json.JSONDecodeError, KeyError, ValueError) as e:
-            print(f"Failed to parse split result: {e}")
-
-        return default

apps/backend/runners/github/testing.py

@@ -254,7 +254,7 @@ class MockGitHubClient:
             raise Exception(f"Issue #{issue_number} not found")
         return self.issues[issue_number]
 
-    async def issue_comment(self, issue_number: int, body: str) -> int:
+    async def issue_comment(self, issue_number: int, body: str) -> None:
         self._log_call("issue_comment", issue_number=issue_number)
         self.posted_comments.append(
             {
@@ -262,8 +262,6 @@ class MockGitHubClient:
                 "body": body,
             }
         )
-        # Return a fake comment ID for testing
-        return 123456 + issue_number
 
     async def issue_add_labels(self, issue_number: int, labels: list[str]) -> None:
         self._log_call("issue_add_labels", issue_number=issue_number, labels=labels)

apps/backend/runners/github/trust.py

@@ -0,0 +1,543 @@
+"""
+Trust Escalation Model
+======================
+
+Progressive trust system that unlocks more autonomous actions as accuracy improves:
+
+- L0: Review-only (comment, no actions)
+- L1: Auto-apply labels based on triage
+- L2: Auto-close duplicates and spam
+- L3: Auto-merge trivial fixes (docs, typos)
+- L4: Full auto-fix with merge
+
+Trust increases with accuracy, decreases with overrides.
+"""
+
+from __future__ import annotations
+
+import json
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from enum import IntEnum
+from pathlib import Path
+from typing import Any
+
+
+class TrustLevel(IntEnum):
+    """Trust levels with increasing autonomy."""
+
+    L0_REVIEW_ONLY = 0  # Comment only, no actions
+    L1_LABEL = 1  # Auto-apply labels
+    L2_CLOSE = 2  # Auto-close duplicates/spam
+    L3_MERGE_TRIVIAL = 3  # Auto-merge trivial fixes
+    L4_FULL_AUTO = 4  # Full autonomous operation
+
+    @property
+    def display_name(self) -> str:
+        names = {
+            0: "Review Only",
+            1: "Auto-Label",
+            2: "Auto-Close",
+            3: "Auto-Merge Trivial",
+            4: "Full Autonomous",
+        }
+        return names.get(self.value, "Unknown")
+
+    @property
+    def description(self) -> str:
+        descriptions = {
+            0: "AI can comment with suggestions but takes no actions",
+            1: "AI can automatically apply labels based on triage",
+            2: "AI can auto-close clear duplicates and spam",
+            3: "AI can auto-merge trivial changes (docs, typos, formatting)",
+            4: "AI can auto-fix issues and merge PRs autonomously",
+        }
+        return descriptions.get(self.value, "")
+
+    @property
+    def allowed_actions(self) -> set[str]:
+        """Actions allowed at this trust level."""
+        actions = {
+            0: {"comment", "review"},
+            1: {"comment", "review", "label", "triage"},
+            2: {
+                "comment",
+                "review",
+                "label",
+                "triage",
+                "close_duplicate",
+                "close_spam",
+            },
+            3: {
+                "comment",
+                "review",
+                "label",
+                "triage",
+                "close_duplicate",
+                "close_spam",
+                "merge_trivial",
+            },
+            4: {
+                "comment",
+                "review",
+                "label",
+                "triage",
+                "close_duplicate",
+                "close_spam",
+                "merge_trivial",
+                "auto_fix",
+                "merge",
+            },
+        }
+        return actions.get(self.value, set())
+
+    def can_perform(self, action: str) -> bool:
+        """Check if this trust level allows an action."""
+        return action in self.allowed_actions
+
+
+# Thresholds for trust level upgrades
+TRUST_THRESHOLDS = {
+    TrustLevel.L1_LABEL: {
+        "min_actions": 20,
+        "min_accuracy": 0.90,
+        "min_days": 3,
+    },
+    TrustLevel.L2_CLOSE: {
+        "min_actions": 50,
+        "min_accuracy": 0.92,
+        "min_days": 7,
+    },
+    TrustLevel.L3_MERGE_TRIVIAL: {
+        "min_actions": 100,
+        "min_accuracy": 0.95,
+        "min_days": 14,
+    },
+    TrustLevel.L4_FULL_AUTO: {
+        "min_actions": 200,
+        "min_accuracy": 0.97,
+        "min_days": 30,
+    },
+}
+
+
+@dataclass
+class AccuracyMetrics:
+    """Tracks accuracy metrics for trust calculation."""
+
+    total_actions: int = 0
+    correct_actions: int = 0
+    overridden_actions: int = 0
+    last_action_at: str | None = None
+    first_action_at: str | None = None
+
+    # Per-action type metrics
+    review_total: int = 0
+    review_correct: int = 0
+    label_total: int = 0
+    label_correct: int = 0
+    triage_total: int = 0
+    triage_correct: int = 0
+    close_total: int = 0
+    close_correct: int = 0
+    merge_total: int = 0
+    merge_correct: int = 0
+    fix_total: int = 0
+    fix_correct: int = 0
+
+    @property
+    def accuracy(self) -> float:
+        """Overall accuracy rate."""
+        if self.total_actions == 0:
+            return 0.0
+        return self.correct_actions / self.total_actions
+
+    @property
+    def override_rate(self) -> float:
+        """Rate of overridden actions."""
+        if self.total_actions == 0:
+            return 0.0
+        return self.overridden_actions / self.total_actions
+
+    @property
+    def days_active(self) -> int:
+        """Days since first action."""
+        if not self.first_action_at:
+            return 0
+        first = datetime.fromisoformat(self.first_action_at)
+        now = datetime.now(timezone.utc)
+        return (now - first).days
+
+    def record_action(
+        self,
+        action_type: str,
+        correct: bool,
+        overridden: bool = False,
+    ) -> None:
+        """Record an action outcome."""
+        now = datetime.now(timezone.utc).isoformat()
+
+        self.total_actions += 1
+        if correct:
+            self.correct_actions += 1
+        if overridden:
+            self.overridden_actions += 1
+
+        self.last_action_at = now
+        if not self.first_action_at:
+            self.first_action_at = now
+
+        # Update per-type metrics
+        type_map = {
+            "review": ("review_total", "review_correct"),
+            "label": ("label_total", "label_correct"),
+            "triage": ("triage_total", "triage_correct"),
+            "close": ("close_total", "close_correct"),
+            "merge": ("merge_total", "merge_correct"),
+            "fix": ("fix_total", "fix_correct"),
+        }
+
+        if action_type in type_map:
+            total_attr, correct_attr = type_map[action_type]
+            setattr(self, total_attr, getattr(self, total_attr) + 1)
+            if correct:
+                setattr(self, correct_attr, getattr(self, correct_attr) + 1)
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "total_actions": self.total_actions,
+            "correct_actions": self.correct_actions,
+            "overridden_actions": self.overridden_actions,
+            "last_action_at": self.last_action_at,
+            "first_action_at": self.first_action_at,
+            "review_total": self.review_total,
+            "review_correct": self.review_correct,
+            "label_total": self.label_total,
+            "label_correct": self.label_correct,
+            "triage_total": self.triage_total,
+            "triage_correct": self.triage_correct,
+            "close_total": self.close_total,
+            "close_correct": self.close_correct,
+            "merge_total": self.merge_total,
+            "merge_correct": self.merge_correct,
+            "fix_total": self.fix_total,
+            "fix_correct": self.fix_correct,
+        }
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any]) -> AccuracyMetrics:
+        return cls(**{k: v for k, v in data.items() if k in cls.__dataclass_fields__})
+
+
+@dataclass
+class TrustState:
+    """Trust state for a repository."""
+
+    repo: str
+    current_level: TrustLevel = TrustLevel.L0_REVIEW_ONLY
+    metrics: AccuracyMetrics = field(default_factory=AccuracyMetrics)
+    manual_override: TrustLevel | None = None  # User-set override
+    last_level_change: str | None = None
+    level_history: list[dict[str, Any]] = field(default_factory=list)
+
+    @property
+    def effective_level(self) -> TrustLevel:
+        """Get effective trust level (considers manual override)."""
+        if self.manual_override is not None:
+            return self.manual_override
+        return self.current_level
+
+    def can_perform(self, action: str) -> bool:
+        """Check if current trust level allows an action."""
+        return self.effective_level.can_perform(action)
+
+    def get_progress_to_next_level(self) -> dict[str, Any]:
+        """Get progress toward next trust level."""
+        current = self.current_level
+        if current >= TrustLevel.L4_FULL_AUTO:
+            return {
+                "next_level": None,
+                "at_max": True,
+            }
+
+        next_level = TrustLevel(current + 1)
+        thresholds = TRUST_THRESHOLDS.get(next_level, {})
+
+        min_actions = thresholds.get("min_actions", 0)
+        min_accuracy = thresholds.get("min_accuracy", 0)
+        min_days = thresholds.get("min_days", 0)
+
+        return {
+            "next_level": next_level.value,
+            "next_level_name": next_level.display_name,
+            "at_max": False,
+            "actions": {
+                "current": self.metrics.total_actions,
+                "required": min_actions,
+                "progress": min(1.0, self.metrics.total_actions / max(1, min_actions)),
+            },
+            "accuracy": {
+                "current": self.metrics.accuracy,
+                "required": min_accuracy,
+                "progress": min(1.0, self.metrics.accuracy / max(0.01, min_accuracy)),
+            },
+            "days": {
+                "current": self.metrics.days_active,
+                "required": min_days,
+                "progress": min(1.0, self.metrics.days_active / max(1, min_days)),
+            },
+        }
+
+    def check_upgrade(self) -> TrustLevel | None:
+        """Check if eligible for trust level upgrade."""
+        current = self.current_level
+        if current >= TrustLevel.L4_FULL_AUTO:
+            return None
+
+        next_level = TrustLevel(current + 1)
+        thresholds = TRUST_THRESHOLDS.get(next_level)
+        if not thresholds:
+            return None
+
+        if (
+            self.metrics.total_actions >= thresholds["min_actions"]
+            and self.metrics.accuracy >= thresholds["min_accuracy"]
+            and self.metrics.days_active >= thresholds["min_days"]
+        ):
+            return next_level
+
+        return None
+
+    def upgrade_level(self, new_level: TrustLevel, reason: str = "auto") -> None:
+        """Upgrade to a new trust level."""
+        if new_level <= self.current_level:
+            return
+
+        now = datetime.now(timezone.utc).isoformat()
+        self.level_history.append(
+            {
+                "from_level": self.current_level.value,
+                "to_level": new_level.value,
+                "reason": reason,
+                "timestamp": now,
+                "metrics_snapshot": self.metrics.to_dict(),
+            }
+        )
+        self.current_level = new_level
+        self.last_level_change = now
+
+    def downgrade_level(self, reason: str = "override") -> None:
+        """Downgrade trust level due to override or errors."""
+        if self.current_level <= TrustLevel.L0_REVIEW_ONLY:
+            return
+
+        new_level = TrustLevel(self.current_level - 1)
+        now = datetime.now(timezone.utc).isoformat()
+        self.level_history.append(
+            {
+                "from_level": self.current_level.value,
+                "to_level": new_level.value,
+                "reason": reason,
+                "timestamp": now,
+            }
+        )
+        self.current_level = new_level
+        self.last_level_change = now
+
+    def set_manual_override(self, level: TrustLevel | None) -> None:
+        """Set or clear manual trust level override."""
+        self.manual_override = level
+        if level is not None:
+            now = datetime.now(timezone.utc).isoformat()
+            self.level_history.append(
+                {
+                    "from_level": self.current_level.value,
+                    "to_level": level.value,
+                    "reason": "manual_override",
+                    "timestamp": now,
+                }
+            )
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "repo": self.repo,
+            "current_level": self.current_level.value,
+            "metrics": self.metrics.to_dict(),
+            "manual_override": self.manual_override.value
+            if self.manual_override
+            else None,
+            "last_level_change": self.last_level_change,
+            "level_history": self.level_history[-20:],  # Keep last 20 changes
+        }
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any]) -> TrustState:
+        return cls(
+            repo=data["repo"],
+            current_level=TrustLevel(data.get("current_level", 0)),
+            metrics=AccuracyMetrics.from_dict(data.get("metrics", {})),
+            manual_override=TrustLevel(data["manual_override"])
+            if data.get("manual_override") is not None
+            else None,
+            last_level_change=data.get("last_level_change"),
+            level_history=data.get("level_history", []),
+        )
+
+
+class TrustManager:
+    """
+    Manages trust levels across repositories.
+
+    Usage:
+        trust = TrustManager(state_dir=Path(".auto-claude/github"))
+
+        # Check if action is allowed
+        if trust.can_perform("owner/repo", "auto_fix"):
+            perform_auto_fix()
+
+        # Record action outcome
+        trust.record_action("owner/repo", "review", correct=True)
+
+        # Check for upgrade
+        if trust.check_and_upgrade("owner/repo"):
+            print("Trust level upgraded!")
+    """
+
+    def __init__(self, state_dir: Path):
+        self.state_dir = state_dir
+        self.trust_dir = state_dir / "trust"
+        self.trust_dir.mkdir(parents=True, exist_ok=True)
+        self._states: dict[str, TrustState] = {}
+
+    def _get_state_file(self, repo: str) -> Path:
+        safe_name = repo.replace("/", "_")
+        return self.trust_dir / f"{safe_name}.json"
+
+    def get_state(self, repo: str) -> TrustState:
+        """Get trust state for a repository."""
+        if repo in self._states:
+            return self._states[repo]
+
+        state_file = self._get_state_file(repo)
+        if state_file.exists():
+            try:
+                with open(state_file, encoding="utf-8") as f:
+                    data = json.load(f)
+                    state = TrustState.from_dict(data)
+            except (json.JSONDecodeError, UnicodeDecodeError):
+                # Return default state if file is corrupted
+                state = TrustState(repo=repo)
+        else:
+            state = TrustState(repo=repo)
+
+        self._states[repo] = state
+        return state
+
+    def save_state(self, repo: str) -> None:
+        """Save trust state for a repository with secure file permissions."""
+        import os
+
+        state = self.get_state(repo)
+        state_file = self._get_state_file(repo)
+
+        # Write with restrictive permissions (0o600 = owner read/write only)
+        fd = os.open(str(state_file), os.O_WRONLY | os.O_CREAT | os.O_TRUNC, 0o600)
+        # os.fdopen takes ownership of fd and will close it when the with block exits
+        with os.fdopen(fd, "w", encoding="utf-8") as f:
+            json.dump(state.to_dict(), f, indent=2)
+
+    def get_trust_level(self, repo: str) -> TrustLevel:
+        """Get current trust level for a repository."""
+        return self.get_state(repo).effective_level
+
+    def can_perform(self, repo: str, action: str) -> bool:
+        """Check if an action is allowed for a repository."""
+        return self.get_state(repo).can_perform(action)
+
+    def record_action(
+        self,
+        repo: str,
+        action_type: str,
+        correct: bool,
+        overridden: bool = False,
+    ) -> None:
+        """Record an action outcome."""
+        state = self.get_state(repo)
+        state.metrics.record_action(action_type, correct, overridden)
+
+        # Check for downgrade on override
+        if overridden:
+            # Downgrade if override rate exceeds 10%
+            if state.metrics.override_rate > 0.10 and state.metrics.total_actions >= 10:
+                state.downgrade_level(reason="high_override_rate")
+
+        self.save_state(repo)
+
+    def check_and_upgrade(self, repo: str) -> bool:
+        """Check for and apply trust level upgrade."""
+        state = self.get_state(repo)
+        new_level = state.check_upgrade()
+
+        if new_level:
+            state.upgrade_level(new_level, reason="threshold_met")
+            self.save_state(repo)
+            return True
+
+        return False
+
+    def set_manual_level(self, repo: str, level: TrustLevel) -> None:
+        """Manually set trust level for a repository."""
+        state = self.get_state(repo)
+        state.set_manual_override(level)
+        self.save_state(repo)
+
+    def clear_manual_override(self, repo: str) -> None:
+        """Clear manual trust level override."""
+        state = self.get_state(repo)
+        state.set_manual_override(None)
+        self.save_state(repo)
+
+    def get_progress(self, repo: str) -> dict[str, Any]:
+        """Get progress toward next trust level."""
+        state = self.get_state(repo)
+        return {
+            "current_level": state.effective_level.value,
+            "current_level_name": state.effective_level.display_name,
+            "is_manual_override": state.manual_override is not None,
+            "accuracy": state.metrics.accuracy,
+            "total_actions": state.metrics.total_actions,
+            "override_rate": state.metrics.override_rate,
+            "days_active": state.metrics.days_active,
+            "progress_to_next": state.get_progress_to_next_level(),
+        }
+
+    def get_all_states(self) -> list[TrustState]:
+        """Get trust states for all repos."""
+        states = []
+        for file in self.trust_dir.glob("*.json"):
+            try:
+                with open(file, encoding="utf-8") as f:
+                    data = json.load(f)
+                    states.append(TrustState.from_dict(data))
+            except (json.JSONDecodeError, UnicodeDecodeError):
+                # Skip corrupted state files
+                continue
+        return states
+
+    def get_summary(self) -> dict[str, Any]:
+        """Get summary of trust across all repos."""
+        states = self.get_all_states()
+        by_level = {}
+        for state in states:
+            level = state.effective_level.value
+            by_level[level] = by_level.get(level, 0) + 1
+
+        total_actions = sum(s.metrics.total_actions for s in states)
+        total_correct = sum(s.metrics.correct_actions for s in states)
+
+        return {
+            "total_repos": len(states),
+            "by_level": by_level,
+            "total_actions": total_actions,
+            "overall_accuracy": total_correct / max(1, total_actions),
+        }

apps/backend/runners/insights_runner.py

@@ -8,8 +8,10 @@ about a codebase. It can also suggest tasks based on the conversation.
 
 import argparse
 import asyncio
+import base64
 import json
 import sys
+import tempfile
 from pathlib import Path
 
 # Add auto-claude to path
@@ -111,6 +113,107 @@ def load_project_context(project_dir: str) -> str:
     )
 
 
+ALLOWED_MIME_TYPES = frozenset(
+    ["image/png", "image/jpeg", "image/jpg", "image/gif", "image/webp"]
+)
+
+MAX_IMAGE_FILE_SIZE = 10 * 1024 * 1024  # 10 MB (aligned with frontend MAX_IMAGE_SIZE)
+
+
+def load_images_from_manifest(manifest_path: str) -> list[dict]:
+    """Load images from a manifest JSON file.
+
+    The manifest contains an array of objects with 'path' and 'mimeType' fields.
+    Each image file is read as binary and encoded to base64.
+
+    Returns a list of dicts with 'media_type' and 'data' (base64-encoded) fields.
+    """
+    images = []
+    tmp_dir = Path(tempfile.gettempdir()).resolve()
+
+    try:
+        with open(manifest_path, encoding="utf-8") as f:
+            manifest = json.load(f)
+
+        for entry in manifest:
+            image_path = entry.get("path")
+            mime_type = entry.get("mimeType", "image/png")
+
+            if not image_path:
+                debug_error(
+                    "insights_runner",
+                    "Image entry missing path field",
+                )
+                continue
+
+            # Validate path is within temp directory before checking existence
+            try:
+                resolved = Path(image_path).resolve()
+                if not resolved.is_relative_to(tmp_dir):
+                    debug_error(
+                        "insights_runner",
+                        f"Image path outside temp directory, skipping: {image_path}",
+                    )
+                    continue
+            except (ValueError, OSError):
+                debug_error(
+                    "insights_runner",
+                    f"Invalid image path, skipping: {image_path}",
+                )
+                continue
+
+            if not resolved.exists():
+                debug_error(
+                    "insights_runner",
+                    f"Image file not found: {image_path}",
+                )
+                continue
+
+            # Validate MIME type against allowlist
+            if mime_type not in ALLOWED_MIME_TYPES:
+                debug_error(
+                    "insights_runner",
+                    f"Invalid MIME type '{mime_type}', skipping: {image_path}",
+                )
+                continue
+
+            # Validate file size
+            file_size = resolved.stat().st_size
+            if file_size > MAX_IMAGE_FILE_SIZE:
+                debug_error(
+                    "insights_runner",
+                    f"Image too large ({file_size} bytes), skipping: {image_path}",
+                )
+                continue
+
+            try:
+                with open(resolved, "rb") as img_f:
+                    image_data = base64.b64encode(img_f.read()).decode("utf-8")
+                images.append(
+                    {
+                        "media_type": mime_type,
+                        "data": image_data,
+                    }
+                )
+                debug(
+                    "insights_runner",
+                    "Loaded image",
+                    path=image_path,
+                    mime_type=mime_type,
+                    size_bytes=file_size,
+                )
+            except Exception as e:
+                debug_error(
+                    "insights_runner",
+                    f"Failed to read image {image_path}: {e}",
+                )
+
+    except (json.JSONDecodeError, OSError) as e:
+        debug_error("insights_runner", f"Failed to load images manifest: {e}")
+
+    return images
+
+
 def build_system_prompt(project_dir: str) -> str:
     """Build the system prompt for the insights agent."""
     context = load_project_context(project_dir)
@@ -143,11 +246,12 @@ async def run_with_sdk(
     history: list,
     model: str = "sonnet",  # Shorthand - resolved via API Profile if configured
     thinking_level: str = "medium",
+    images: list[dict] | None = None,
 ) -> None:
     """Run the chat using Claude SDK with streaming."""
     if not SDK_AVAILABLE:
         print("Claude SDK not available, falling back to simple mode", file=sys.stderr)
-        run_simple(project_dir, message, history)
+        run_simple(project_dir, message, history, images)
         return
 
     if not get_auth_token():
@@ -155,7 +259,7 @@ async def run_with_sdk(
             "No authentication token found, falling back to simple mode",
             file=sys.stderr,
         )
-        run_simple(project_dir, message, history)
+        run_simple(project_dir, message, history, images)
         return
 
     # Ensure SDK can find the token
@@ -205,8 +309,24 @@ Current question: {message}"""
 
         # Use async context manager pattern
         async with client:
-            # Send the query
-            await client.query(full_prompt)
+            # Build the query - images are stored for reference but SDK doesn't support multi-modal input yet
+            if images:
+                debug(
+                    "insights_runner",
+                    "Images attached but SDK does not support multi-modal input",
+                    image_count=len(images),
+                )
+
+                # TODO: When the SDK adds support for multi-modal content blocks, update this.
+                image_note = f"\n\n[Note: The user attached {len(images)} image(s), but the current SDK version does not support multi-modal input. Please ask the user to describe the image content instead.]"
+                print(
+                    "Warning: Image attachments cannot be sent to the model in SDK mode. Sending text-only query.",
+                    file=sys.stderr,
+                )
+                await client.query(full_prompt + image_note)
+            else:
+                # Send the query as plain text
+                await client.query(full_prompt)
 
             # Stream the response
             response_text = ""
@@ -280,13 +400,21 @@ Current question: {message}"""
         import traceback
 
         traceback.print_exc(file=sys.stderr)
-        run_simple(project_dir, message, history)
+        run_simple(project_dir, message, history, images)
 
 
-def run_simple(project_dir: str, message: str, history: list) -> None:
+def run_simple(
+    project_dir: str, message: str, history: list, images: list[dict] | None = None
+) -> None:
     """Simple fallback mode without SDK - uses subprocess to call claude CLI."""
     import subprocess
 
+    if images:
+        print(
+            "Warning: Image attachments are not supported in simple mode and will be skipped.",
+            file=sys.stderr,
+        )
+
     system_prompt = build_system_prompt(project_dir)
 
     # Build conversation context
@@ -355,6 +483,10 @@ def main():
         default="medium",
         help="Thinking level for extended reasoning (low, medium, high)",
     )
+    parser.add_argument(
+        "--images-file",
+        help="Path to JSON manifest file listing image file paths and MIME types",
+    )
     args = parser.parse_args()
 
     # Validate and sanitize thinking level (handles legacy values like 'ultrathink')
@@ -398,9 +530,25 @@ def main():
         debug_error("insights_runner", f"Failed to load history: {e}")
         history = []
 
+    # Load images from manifest file if provided
+    images = None
+    if args.images_file:
+        debug("insights_runner", "Loading images from manifest", file=args.images_file)
+        images = load_images_from_manifest(args.images_file)
+        if images:
+            debug(
+                "insights_runner",
+                "Loaded images for multi-modal query",
+                image_count=len(images),
+            )
+        else:
+            debug("insights_runner", "No valid images loaded from manifest")
+
     # Run the async SDK function
     debug("insights_runner", "Running SDK query")
-    asyncio.run(run_with_sdk(project_dir, user_message, history, model, thinking_level))
+    asyncio.run(
+        run_with_sdk(project_dir, user_message, history, model, thinking_level, images)
+    )
     debug_success("insights_runner", "Query completed")
 
 

apps/backend/runners/roadmap/competitor_analyzer.py

@@ -31,6 +31,7 @@ class CompetitorAnalyzer:
         self.refresh = refresh
         self.agent_executor = agent_executor
         self.analysis_file = output_dir / "competitor_analysis.json"
+        self.manual_competitors_file = output_dir / "manual_competitors.json"
         self.discovery_file = output_dir / "roadmap_discovery.json"
         self.project_index_file = output_dir / "project_index.json"
 
@@ -42,7 +43,10 @@ class CompetitorAnalyzer:
         """
         if not enabled:
             print_status("Competitor analysis not enabled, skipping", "info")
+            manual_competitors = self._get_manual_competitors()
             self._create_disabled_analysis_file()
+            if manual_competitors:
+                self._merge_manual_competitors(manual_competitors)
             return RoadmapPhaseResult(
                 "competitor_analysis", True, [str(self.analysis_file)], [], 0
             )
@@ -53,6 +57,9 @@ class CompetitorAnalyzer:
                 "competitor_analysis", True, [str(self.analysis_file)], [], 0
             )
 
+        # Preserve manual competitors before any path that overwrites the file
+        manual_competitors = self._get_manual_competitors()
+
         if not self.discovery_file.exists():
             print_status(
                 "Discovery file not found, skipping competitor analysis", "warning"
@@ -60,6 +67,8 @@ class CompetitorAnalyzer:
             self._create_error_analysis_file(
                 "Discovery file not found - cannot analyze competitors without project context"
             )
+            if manual_competitors:
+                self._merge_manual_competitors(manual_competitors)
             return RoadmapPhaseResult(
                 "competitor_analysis",
                 True,
@@ -84,6 +93,8 @@ class CompetitorAnalyzer:
             if success and self.analysis_file.exists():
                 validation_result = self._validate_analysis()
                 if validation_result is not None:
+                    if manual_competitors:
+                        self._merge_manual_competitors(manual_competitors)
                     return validation_result
                 errors.append(f"Attempt {attempt + 1}: Validation failed")
             else:
@@ -100,12 +111,82 @@ class CompetitorAnalyzer:
             print(f"  {muted('Error:')} {err}")
 
         self._create_error_analysis_file("Analysis failed after retries", errors)
+        if manual_competitors:
+            self._merge_manual_competitors(manual_competitors)
 
         # Return success=True for graceful degradation (don't block roadmap generation)
         return RoadmapPhaseResult(
             "competitor_analysis", True, [str(self.analysis_file)], errors, MAX_RETRIES
         )
 
+    def _get_manual_competitors(self) -> list[dict]:
+        """Extract manually-added competitors from the dedicated manual file and analysis file.
+
+        Reads from manual_competitors.json (primary, never overwritten by agent) and
+        falls back to competitor_analysis.json. Deduplicates by competitor ID.
+        Returns a list of competitor dicts where source == 'manual'.
+        """
+        competitors_by_id: dict[str, dict] = {}
+
+        # Primary source: dedicated manual competitors file (never overwritten by agent)
+        if self.manual_competitors_file.exists():
+            try:
+                with open(self.manual_competitors_file, encoding="utf-8") as f:
+                    data = json.load(f)
+                for c in data.get("competitors", []):
+                    if isinstance(c, dict) and c.get("id"):
+                        competitors_by_id[c["id"]] = c
+            except (json.JSONDecodeError, OSError) as e:
+                print_status(
+                    f"Warning: could not read manual competitors file: {e}", "warning"
+                )
+
+        # Fallback: also check analysis file for manual competitors
+        if self.analysis_file.exists():
+            try:
+                with open(self.analysis_file, encoding="utf-8") as f:
+                    data = json.load(f)
+                for c in data.get("competitors", []):
+                    if (
+                        isinstance(c, dict)
+                        and c.get("source") == "manual"
+                        and c.get("id")
+                        and c["id"] not in competitors_by_id
+                    ):
+                        competitors_by_id[c["id"]] = c
+            except (json.JSONDecodeError, OSError) as e:
+                print_status(
+                    f"Warning: could not read manual competitors from analysis: {e}",
+                    "warning",
+                )
+
+        return list(competitors_by_id.values())
+
+    def _merge_manual_competitors(self, manual_competitors: list[dict]) -> None:
+        """Merge manual competitors back into the newly-generated analysis file.
+
+        Appends manual competitors that don't already exist (by ID) in the file.
+        """
+        if not manual_competitors:
+            return
+
+        try:
+            with open(self.analysis_file, encoding="utf-8") as f:
+                data = json.load(f)
+        except (json.JSONDecodeError, OSError) as e:
+            print_status(f"Warning: failed to merge manual competitors: {e}", "warning")
+            return
+
+        existing_ids = {
+            c.get("id") for c in data.get("competitors", []) if isinstance(c, dict)
+        }
+
+        for competitor in manual_competitors:
+            if competitor.get("id") not in existing_ids:
+                data.setdefault("competitors", []).append(competitor)
+
+        write_json_atomic(self.analysis_file, data, indent=2)
+
     def _build_context(self) -> str:
         """Build context string for the competitor analysis agent."""
         return f"""
@@ -140,8 +221,11 @@ Output your findings to competitor_analysis.json.
                     "competitor_analysis", True, [str(self.analysis_file)], [], 0
                 )
 
-        except json.JSONDecodeError:
-            pass
+        except json.JSONDecodeError as e:
+            print_status(
+                f"Warning: competitor analysis file is not valid JSON: {e}",
+                "warning",
+            )
 
         return None
 

apps/backend/runners/roadmap/project_index.json

@@ -2,11 +2,6 @@
   "project_root": "/Users/andremikalsen/Documents/Coding/autonomous-coding",
   "project_type": "single",
   "services": {},
-  "infrastructure": {
-    "docker_compose": "docker-compose.yml",
-    "docker_services": [
-      "falkordb"
-    ]
-  },
+  "infrastructure": {},
   "conventions": {}
 }

apps/backend/runners/spec_runner.py

@@ -136,7 +136,7 @@ Examples:
   python spec_runner.py --task "Update text" --complexity simple
 
   # Complex integration (auto-detected)
-  python spec_runner.py --task "Add Graphiti memory integration with FalkorDB"
+  python spec_runner.py --task "Add Graphiti memory integration with LadybugDB"
 
   # Interactive mode
   python spec_runner.py --interactive

apps/backend/services/recovery.py

@@ -21,6 +21,8 @@ from datetime import datetime, timedelta, timezone
 from enum import Enum
 from pathlib import Path
 
+from core.file_utils import write_json_atomic
+
 # Recovery manager configuration
 ATTEMPT_WINDOW_SECONDS = 7200  # Only count attempts within last 2 hours
 MAX_ATTEMPT_HISTORY_PER_SUBTASK = 50  # Cap stored attempts per subtask
@@ -514,6 +516,36 @@ class RecoveryManager:
 
         self._save_attempt_history(history)
 
+        # Also update the subtask status in implementation_plan.json
+        # so that other callers (like is_build_ready_for_qa) see accurate status
+        try:
+            plan_file = self.spec_dir / "implementation_plan.json"
+            if plan_file.exists():
+                with open(plan_file, encoding="utf-8") as f:
+                    plan = json.load(f)
+
+                updated = False
+                for phase in plan.get("phases", []):
+                    for subtask in phase.get("subtasks", []):
+                        if subtask.get("id") == subtask_id:
+                            subtask["status"] = "failed"
+                            stuck_note = f"Marked as stuck: {reason}"
+                            existing = subtask.get("actual_output", "")
+                            subtask["actual_output"] = (
+                                f"{stuck_note}\n{existing}" if existing else stuck_note
+                            )
+                            updated = True
+                            break
+                    if updated:
+                        break
+
+                if updated:
+                    write_json_atomic(plan_file, plan, indent=2)
+        except (OSError, json.JSONDecodeError, UnicodeDecodeError) as e:
+            logger.warning(
+                f"Failed to update implementation_plan.json for stuck subtask {subtask_id}: {e}"
+            )
+
     def get_stuck_subtasks(self) -> list[dict]:
         """
         Get all subtasks marked as stuck.

apps/backend/spec/phases/spec_phases.py

@@ -6,18 +6,54 @@ Phases for spec document creation and quality assurance.
 """
 
 import json
-from typing import TYPE_CHECKING
+from pathlib import Path
 
 from .. import validator, writer
+from ..discovery import get_project_index_stats
 from .models import MAX_RETRIES, PhaseResult
 
-if TYPE_CHECKING:
-    pass
+
+def _is_greenfield_project(spec_dir: Path) -> bool:
+    """Check if the project is empty/greenfield (0 discovered files)."""
+    stats = get_project_index_stats(spec_dir)
+    if not stats:
+        return False  # Can't determine - don't assume greenfield
+    return stats.get("file_count", 0) == 0
+
+
+def _greenfield_context() -> str:
+    """Return additional context for greenfield/empty projects."""
+    return """
+**GREENFIELD PROJECT**: This is an empty or new project with no existing code.
+There are no existing files to reference or modify. You are creating everything from scratch.
+
+Adapt your approach:
+- Do NOT reference existing files, patterns, or code structures
+- Focus on what needs to be CREATED, not modified
+- Define the initial project structure, files, and directories
+- Specify the tech stack, frameworks, and dependencies to install
+- Provide setup instructions for the new project
+- For "Files to Modify" and "Files to Reference" sections, list files to CREATE instead
+- For "Patterns to Follow", describe industry best practices rather than existing code
+"""
 
 
 class SpecPhaseMixin:
     """Mixin for spec writing and critique phase methods."""
 
+    def _check_and_log_greenfield(self) -> bool:
+        """Check if the project is greenfield and log if so.
+
+        Returns:
+            True if the project is greenfield (no existing files).
+        """
+        is_greenfield = _is_greenfield_project(self.spec_dir)
+        if is_greenfield:
+            self.ui.print_status(
+                "Greenfield project detected - adapting spec for new project", "info"
+            )
+        return is_greenfield
+
     async def phase_quick_spec(self) -> PhaseResult:
         """Quick spec for simple tasks - combines context and spec in one step."""
         spec_file = self.spec_dir / "spec.md"
@@ -29,6 +65,8 @@ class SpecPhaseMixin:
                 "quick_spec", True, [str(spec_file), str(plan_file)], [], 0
             )
 
+        is_greenfield = self._check_and_log_greenfield()
+
         errors = []
         for attempt in range(MAX_RETRIES):
             self.ui.print_status(
@@ -42,7 +80,7 @@ class SpecPhaseMixin:
 
 This is a SIMPLE task. Create a minimal spec and implementation plan directly.
 No research or extensive analysis needed.
-
+{_greenfield_context() if is_greenfield else ""}
 Create:
 1. A concise spec.md with just the essential sections
 2. A simple implementation_plan.json with 1-2 subtasks
@@ -80,6 +118,9 @@ Create:
                 "spec.md exists but has issues, regenerating...", "warning"
             )
 
+        is_greenfield = self._check_and_log_greenfield()
+        greenfield_ctx = _greenfield_context() if is_greenfield else ""
+
         errors = []
         for attempt in range(MAX_RETRIES):
             self.ui.print_status(
@@ -88,6 +129,7 @@ Create:
 
             success, output = await self.run_agent_fn(
                 "spec_writer.md",
+                additional_context=greenfield_ctx,
                 phase_name="spec_writing",
             )
 

apps/backend/spec/pipeline/agent_runner.py

@@ -12,6 +12,7 @@ from ui.capabilities import configure_safe_encoding
 
 configure_safe_encoding()
 
+from core.error_utils import safe_receive_messages
 from debug import debug, debug_detailed, debug_error, debug_section, debug_success
 from security.tool_input_validator import get_safe_tool_input
 from task_logger import (
@@ -162,7 +163,7 @@ class AgentRunner:
 
                 response_text = ""
                 debug("agent_runner", "Starting to receive response stream...")
-                async for msg in client.receive_response():
+                async for msg in safe_receive_messages(client, caller="agent_runner"):
                     msg_type = type(msg).__name__
                     message_count += 1
                     debug_detailed(

apps/backend/spec/pipeline/models.py

@@ -203,19 +203,19 @@ def generate_spec_name(task_description: str) -> str:
     return "-".join(name_parts) if name_parts else "spec"
 
 
-def rename_spec_dir_from_requirements(spec_dir: Path) -> bool:
+def rename_spec_dir_from_requirements(spec_dir: Path) -> Path:
     """Rename spec directory based on requirements.json task description.
 
     Args:
         spec_dir: The current spec directory
 
     Returns:
-        Tuple of (success, new_spec_dir). If success is False, new_spec_dir is the original.
+        The new spec directory path (or the original if no rename was needed/possible).
     """
     requirements_file = spec_dir / "requirements.json"
 
     if not requirements_file.exists():
-        return False
+        return spec_dir
 
     try:
         with open(requirements_file, encoding="utf-8") as f:
@@ -223,7 +223,7 @@ def rename_spec_dir_from_requirements(spec_dir: Path) -> bool:
 
         task_desc = req.get("task_description", "")
         if not task_desc:
-            return False
+            return spec_dir
 
         # Generate new name
         new_name = generate_spec_name(task_desc)
@@ -240,11 +240,11 @@ def rename_spec_dir_from_requirements(spec_dir: Path) -> bool:
 
         # Don't rename if it's already a good name (not "pending")
         if "pending" not in current_name:
-            return True
+            return spec_dir
 
         # Don't rename if target already exists
         if new_spec_dir.exists():
-            return True
+            return spec_dir
 
         # Rename the directory
         shutil.move(str(spec_dir), str(new_spec_dir))
@@ -253,11 +253,11 @@ def rename_spec_dir_from_requirements(spec_dir: Path) -> bool:
         update_task_logger_path(new_spec_dir)
 
         print_status(f"Spec folder: {highlight(new_dir_name)}", "success")
-        return True
+        return new_spec_dir
 
     except (json.JSONDecodeError, OSError) as e:
         print_status(f"Could not rename spec folder: {e}", "warning")
-        return False
+        return spec_dir
 
 
 # Phase display configuration

apps/backend/spec/pipeline/orchestrator.py

@@ -6,6 +6,7 @@ Main orchestration logic for spec creation with dynamic complexity adaptation.
 """
 
 import json
+import types
 from collections.abc import Callable
 from pathlib import Path
 
@@ -18,6 +19,7 @@ from review import run_review_checkpoint
 from task_logger import (
     LogEntryType,
     LogPhase,
+    TaskLogger,
     get_task_logger,
 )
 from ui import (
@@ -238,6 +240,47 @@ class SpecOrchestrator:
         task_logger.start_phase(LogPhase.PLANNING, "Starting spec creation process")
         TaskEventEmitter.from_spec_dir(self.spec_dir).emit("PLANNING_STARTED")
 
+        # Track whether we've already ended the planning phase (to avoid double-end)
+        self._planning_phase_ended = False
+
+        try:
+            return await self._run_phases(interactive, auto_approve, task_logger, ui)
+        except Exception as e:
+            # Emit PLANNING_FAILED so the frontend XState machine transitions to error state
+            # instead of leaving the task stuck in "planning" forever
+            try:
+                task_emitter = TaskEventEmitter.from_spec_dir(self.spec_dir)
+                task_emitter.emit(
+                    "PLANNING_FAILED",
+                    {"error": str(e), "recoverable": True},
+                )
+            except Exception:
+                pass  # Don't mask the original error
+            if not self._planning_phase_ended:
+                self._planning_phase_ended = True
+                try:
+                    task_logger.end_phase(
+                        LogPhase.PLANNING,
+                        success=False,
+                        message=f"Spec creation crashed: {e}",
+                    )
+                except Exception:
+                    pass  # Best effort - don't mask the original error when logging fails
+            raise
+
+    async def _run_phases(
+        self,
+        interactive: bool,
+        auto_approve: bool,
+        task_logger: TaskLogger,
+        ui: types.ModuleType,
+    ) -> bool:
+        """Internal method that runs all spec creation phases.
+
+        Separated from run() so that run() can wrap this in a try/except
+        to emit PLANNING_FAILED on unhandled exceptions.
+        """
+
         print(
             box(
                 f"Spec Directory: {self.spec_dir}\n"
@@ -291,9 +334,11 @@ class SpecOrchestrator:
         results.append(result)
         if not result.success:
             print_status("Discovery failed", "error")
+            self._planning_phase_ended = True
             task_logger.end_phase(
                 LogPhase.PLANNING, success=False, message="Discovery failed"
             )
+            self._emit_planning_failed("Discovery phase failed")
             return False
         # Store summary for subsequent phases (compaction)
         await self._store_phase_summary("discovery")
@@ -305,17 +350,26 @@ class SpecOrchestrator:
         results.append(result)
         if not result.success:
             print_status("Requirements gathering failed", "error")
+            self._planning_phase_ended = True
             task_logger.end_phase(
                 LogPhase.PLANNING,
                 success=False,
                 message="Requirements gathering failed",
             )
+            self._emit_planning_failed("Requirements gathering failed")
             return False
         # Store summary for subsequent phases (compaction)
         await self._store_phase_summary("requirements")
 
         # Rename spec folder with better name from requirements
-        rename_spec_dir_from_requirements(self.spec_dir)
+        # IMPORTANT: Update self.spec_dir after rename so subsequent phases use the correct path
+        new_spec_dir = rename_spec_dir_from_requirements(self.spec_dir)
+        if new_spec_dir != self.spec_dir:
+            self.spec_dir = new_spec_dir
+            self.validator = SpecValidator(self.spec_dir)
+            # Update phase executor to use the renamed directory
+            phase_executor.spec_dir = self.spec_dir
+            phase_executor.spec_validator = self.validator
 
         # Update task description from requirements
         req = requirements.load_requirements(self.spec_dir)
@@ -335,9 +389,11 @@ class SpecOrchestrator:
         results.append(result)
         if not result.success:
             print_status("Complexity assessment failed", "error")
+            self._planning_phase_ended = True
             task_logger.end_phase(
                 LogPhase.PLANNING, success=False, message="Complexity assessment failed"
             )
+            self._emit_planning_failed("Complexity assessment failed")
             return False
 
         # Map of all available phases
@@ -396,17 +452,22 @@ class SpecOrchestrator:
                     f"Phase '{phase_name}' failed: {'; '.join(result.errors)}",
                     LogEntryType.ERROR,
                 )
+                self._planning_phase_ended = True
                 task_logger.end_phase(
                     LogPhase.PLANNING,
                     success=False,
                     message=f"Phase {phase_name} failed",
                 )
+                self._emit_planning_failed(
+                    f"Phase '{phase_name}' failed: {'; '.join(result.errors)}"
+                )
                 return False
 
         # Summary
         self._print_completion_summary(results, phases_executed)
 
         # End planning phase successfully
+        self._planning_phase_ended = True
         task_logger.end_phase(
             LogPhase.PLANNING, success=True, message="Spec creation complete"
         )
@@ -638,6 +699,25 @@ class SpecOrchestrator:
             )
         )
 
+    def _emit_planning_failed(self, error: str) -> None:
+        """Emit PLANNING_FAILED event so the frontend transitions to error state.
+
+        Without this, the task stays stuck in 'planning' / 'in_progress' forever
+        when spec creation fails, because the XState machine never receives a
+        terminal event.
+
+        Args:
+            error: Human-readable error description
+        """
+        try:
+            task_emitter = TaskEventEmitter.from_spec_dir(self.spec_dir)
+            task_emitter.emit(
+                "PLANNING_FAILED",
+                {"error": error, "recoverable": True},
+            )
+        except Exception:
+            pass  # Best effort - don't mask the original failure
+
     def _run_review_checkpoint(self, auto_approve: bool) -> bool:
         """Run the human review checkpoint.
 
@@ -661,9 +741,8 @@ class SpecOrchestrator:
                 print_status("Build will not proceed without approval.", "warning")
                 return False
 
-        except SystemExit as e:
-            if e.code != 0:
-                return False
+        except SystemExit:
+            # Review checkpoint may call sys.exit(); treat any exit as unapproved
             return False
         except KeyboardInterrupt:
             print()
@@ -696,19 +775,25 @@ class SpecOrchestrator:
         The functionality has been moved to models.rename_spec_dir_from_requirements.
 
         Returns:
-            True if successful or not needed, False on error
+            True if successful or not needed, False if prerequisites are missing
         """
-        result = rename_spec_dir_from_requirements(self.spec_dir)
-        # Update self.spec_dir if it was renamed
-        if result and self.spec_dir.name.endswith("-pending"):
-            # Find the renamed directory
-            parent = self.spec_dir.parent
-            prefix = self.spec_dir.name[:4]  # e.g., "001-"
-            for candidate in parent.iterdir():
-                if (
-                    candidate.name.startswith(prefix)
-                    and "pending" not in candidate.name
-                ):
-                    self.spec_dir = candidate
-                    break
-        return result
+        # Check prerequisites first
+        requirements_file = self.spec_dir / "requirements.json"
+        if not requirements_file.exists():
+            return False
+
+        try:
+            with open(requirements_file, encoding="utf-8") as f:
+                req = json.load(f)
+            task_desc = req.get("task_description", "")
+            if not task_desc:
+                return False
+        except (json.JSONDecodeError, OSError):
+            return False
+
+        # Attempt rename
+        new_spec_dir = rename_spec_dir_from_requirements(self.spec_dir)
+        if new_spec_dir != self.spec_dir:
+            self.spec_dir = new_spec_dir
+            self.validator = SpecValidator(self.spec_dir)
+        return True

apps/backend/tests/integration/test_investigation_image_support.py

@@ -1,270 +0,0 @@
-"""Integration test for image support in issue investigations.
-
-Tests verify:
-1. extract_image_urls function extracts URLs from markdown and HTML
-2. _build_issue_context includes image URLs in the issue context
-3. Image limit of 20 is enforced
-4. Images from comments are included
-
-These tests execute actual code, not static analysis.
-"""
-import re
-from pathlib import Path
-import pytest
-
-
-# =============================================================================
-# Direct code execution to avoid complex import issues
-# =============================================================================
-
-_SOURCE_FILE = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-
-def _load_extract_image_urls():
-    """Load and execute the extract_image_urls function from source."""
-    with open(_SOURCE_FILE, "r") as f:
-        content = f.read()
-
-    # Find and extract the extract_image_urls function
-    # The function definition starts at "def extract_image_urls"
-    start_idx = content.index("def extract_image_urls(")
-
-    # Find the end of the function (next def or end of file)
-    # We need to find the matching indentation
-    lines = content[start_idx:].split('\n')
-    func_lines = []
-    for i, line in enumerate(lines):
-        func_lines.append(line)
-        # Stop at the next top-level definition
-        if i > 0 and line and not line[0].isspace() and line.startswith('def ') or line.startswith('class ') or line.startswith('async def '):
-            if i > 0:  # Don't stop at the first line (the function def itself)
-                func_lines.pop()  # Remove the line we just added
-                break
-
-    # Also need the _IMAGE_URL_PATTERNS constant
-    patterns_start = content.index("_IMAGE_URL_PATTERNS = [")
-    patterns_lines = []
-    for i, line in enumerate(content[patterns_start:].split('\n')):
-        patterns_lines.append(line)
-        if line.strip() == ']':
-            break
-
-    # Execute the patterns definition (need 're' module for regex patterns)
-    namespace = {'re': re}
-    exec('\n'.join(patterns_lines), namespace)
-    exec('\n'.join(func_lines), namespace)
-
-    return namespace['extract_image_urls']
-
-
-def _load_build_issue_context_method():
-    """Load and execute the _build_issue_context method from source."""
-    with open(_SOURCE_FILE, "r") as f:
-        content = f.read()
-
-    # Find the _build_issue_context method
-    start_idx = content.index("    def _build_issue_context(")
-
-    # Find the end of the method (next method definition at same indentation)
-    lines = content[start_idx:].split('\n')
-    method_lines = []
-    for i, line in enumerate(lines):
-        method_lines.append(line)
-        # Stop at the next method definition (same indent level)
-        if i > 0 and line.startswith('    def ') and not line.startswith('    def _build_issue_context'):
-            method_lines.pop()  # Remove the line we just added
-            break
-
-    # Strip the 4-space indentation from each line
-    dedented_lines = [line[4:] if line.startswith('    ') else line for line in method_lines]
-
-    # We also need extract_image_urls
-    extract_image_urls = _load_extract_image_urls()
-
-    # Create a mock class to test the method
-    namespace = {
-        'extract_image_urls': extract_image_urls,
-        'Path': Path,
-    }
-
-    # Execute the method (dedented)
-    exec('\n'.join(dedented_lines), namespace)
-
-    return namespace['_build_issue_context']
-
-
-# =============================================================================
-# Tests for extract_image_urls
-# =============================================================================
-
-def test_extract_image_urls_markdown():
-    """Test extracting image URLs from markdown syntax."""
-    extract_image_urls = _load_extract_image_urls()
-
-    text = """
-    Bug in the login screen!
-
-    ![Screenshot](https://github.com/example/repo/assets/123/screenshot.png)
-
-    The button doesn't work.
-    """
-
-    urls = extract_image_urls(text)
-
-    assert len(urls) == 1
-    assert urls[0] == "https://github.com/example/repo/assets/123/screenshot.png"
-
-
-def test_extract_image_urls_html():
-    """Test extracting image URLs from HTML img tags."""
-    extract_image_urls = _load_extract_image_urls()
-
-    text = 'Check this: <img src="https://example.com/test.jpg" />'
-
-    urls = extract_image_urls(text)
-
-    assert len(urls) == 1
-    assert urls[0] == "https://example.com/test.jpg"
-
-
-def test_extract_image_urls_deduplication():
-    """Test that duplicate URLs are deduplicated."""
-    extract_image_urls = _load_extract_image_urls()
-
-    text = """
-    ![Img1](https://example.com/image.png)
-    ![Img2](https://example.com/image.png)
-    ![Img3](https://example.com/other.png)
-    """
-
-    urls = extract_image_urls(text)
-
-    assert len(urls) == 2
-    assert "https://example.com/image.png" in urls
-    assert "https://example.com/other.png" in urls
-
-
-def test_extract_image_urls_empty():
-    """Test that empty text returns empty list."""
-    extract_image_urls = _load_extract_image_urls()
-
-    assert extract_image_urls("") == []
-    assert extract_image_urls("No images here!") == []
-
-
-def test_extract_image_urls_multiple():
-    """Test extracting multiple image URLs."""
-    extract_image_urls = _load_extract_image_urls()
-
-    text = """
-    ![First](https://example.com/first.png)
-    ![Second](https://example.com/second.jpg)
-    <img src='https://example.com/third.gif' />
-    """
-
-    urls = extract_image_urls(text)
-
-    assert len(urls) == 3
-    assert "https://example.com/first.png" in urls
-    assert "https://example.com/second.jpg" in urls
-    assert "https://example.com/third.gif" in urls
-
-
-# =============================================================================
-# Tests for _build_issue_context
-# =============================================================================
-
-def test_issue_context_includes_images(tmp_path: Path):
-    """Test that _build_issue_context includes image URLs."""
-    _build_issue_context = _load_build_issue_context_method()
-
-    # Mock _get_recent_commits to avoid git operations
-    class MockOrchestrator:
-        def _get_recent_commits(self, project_root, max_count):
-            return ""
-
-    issue_body = """
-    Bug in the login screen!
-
-    ![Screenshot](https://github.com/example/repo/assets/123/screenshot.png)
-
-    The button doesn't work.
-    """
-
-    context = _build_issue_context(
-        MockOrchestrator(),
-        issue_number=42,
-        issue_title="Login bug",
-        issue_body=issue_body,
-        issue_labels=["bug", "ui"],
-        issue_comments=[],
-        project_root=Path("/tmp/test"),
-    )
-
-    # Verify image URL is in context
-    assert "https://github.com/example/repo/assets/123/screenshot.png" in context
-    assert "### Images (1 found)" in context
-    # Verify the Images section contains a clean URL list (markdown bullet point)
-    assert "- https://github.com/example/repo/assets/123/screenshot.png" in context
-
-
-def test_issue_context_limits_images(tmp_path: Path):
-    """Test that only first 20 images are included in the Images section."""
-    _build_issue_context = _load_build_issue_context_method()
-
-    class MockOrchestrator:
-        def _get_recent_commits(self, project_root, max_count):
-            return ""
-
-    # Generate 25 image URLs
-    many_images = "\n".join(
-        f"![Img{i}](https://example.com/image{i}.png)"
-        for i in range(25)
-    )
-
-    context = _build_issue_context(
-        MockOrchestrator(),
-        issue_number=1,
-        issue_title="Many images",
-        issue_body=many_images,
-        issue_labels=[],
-        issue_comments=[],
-        project_root=Path("/tmp/test"),
-    )
-
-    # Should mention 25 found but only list first 20
-    assert "### Images (25 found)" in context
-
-    # Count bullet-point URLs in the Images section (should be exactly 20)
-    # Each URL in the Images section is formatted as "- https://..."
-    import re
-    bullet_urls = re.findall(r'^- (https://example\.com/image\d+\.png)', context, re.MULTILINE)
-    assert len(bullet_urls) == 20
-
-
-def test_extract_image_urls_from_comments(tmp_path: Path):
-    """Test that images from comments are included."""
-    _build_issue_context = _load_build_issue_context_method()
-
-    class MockOrchestrator:
-        def _get_recent_commits(self, project_root, max_count):
-            return ""
-
-    issue_body = "No images in body"
-    comments = [
-        "Check this: ![Screenshot](https://example.com/comment1.png)",
-        "And this: <img src='https://example.com/comment2.jpg' />",
-    ]
-
-    context = _build_issue_context(
-        MockOrchestrator(),
-        issue_number=2,
-        issue_title="Comment images",
-        issue_body=issue_body,
-        issue_labels=[],
-        issue_comments=comments,
-        project_root=Path("/tmp/test"),
-    )
-
-    assert "https://example.com/comment1.png" in context
-    assert "https://example.com/comment2.jpg" in context

apps/backend/tests/integration/test_opus_4_6_features.py

@@ -1,232 +0,0 @@
-"""
-Integration tests for Opus 4.6 features in issue investigation.
-
-Tests verify runtime behavior:
-1. Per-specialist max_tokens configuration is correct (runtime execution)
-2. fast_mode parameter is passed through to create_client (runtime execution)
-
-These tests execute actual code, not static analysis.
-"""
-import sys
-from pathlib import Path
-from unittest.mock import AsyncMock, MagicMock
-import pytest
-
-
-class TestSpecialistMaxTokensConfiguration:
-    """Test per-specialist max_tokens configuration using runtime execution."""
-
-    def test_specialist_max_tokens_constant_exists(self):
-        """Verify SPECIALIST_MAX_TOKENS constant can be executed and has correct type."""
-        # Execute the constant definition directly
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-        # Read and execute just the constant definition
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Execute the SPECIALIST_MAX_TOKENS definition in a clean namespace
-        namespace = {}
-        # Find and execute just the constant definition
-        for line in content.split('\n'):
-            if 'SPECIALIST_MAX_TOKENS = {' in line:
-                # Found the start, now find the end
-                start_idx = content.index('SPECIALIST_MAX_TOKENS = {')
-                # Find the matching closing brace
-                brace_count = 0
-                in_dict = False
-                end_idx = start_idx
-                for i, char in enumerate(content[start_idx:], start=start_idx):
-                    if char == '{':
-                        brace_count += 1
-                        in_dict = True
-                    elif char == '}':
-                        brace_count -= 1
-                        if brace_count == 0 and in_dict:
-                            end_idx = i + 1
-                            break
-
-                # Execute the constant definition
-                exec(content[start_idx:end_idx], namespace)
-                break
-
-        # This is a runtime execution - if the constant doesn't exist, this fails
-        assert 'SPECIALIST_MAX_TOKENS' in namespace
-        assert isinstance(namespace['SPECIALIST_MAX_TOKENS'], dict)
-        assert len(namespace['SPECIALIST_MAX_TOKENS']) > 0
-
-    def test_specialist_max_tokens_values(self):
-        """Verify per-specialist max_tokens are configured correctly at runtime."""
-        # Execute the constant definition directly
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Execute the SPECIALIST_MAX_TOKENS definition in a clean namespace
-        namespace = {}
-        # Find and execute just the constant definition
-        start_idx = content.index('SPECIALIST_MAX_TOKENS = {')
-        # Find the matching closing brace
-        brace_count = 0
-        in_dict = False
-        end_idx = start_idx
-        for i, char in enumerate(content[start_idx:], start=start_idx):
-            if char == '{':
-                brace_count += 1
-                in_dict = True
-            elif char == '}':
-                brace_count -= 1
-                if brace_count == 0 and in_dict:
-                    end_idx = i + 1
-                    break
-
-        # Execute the constant definition
-        exec(content[start_idx:end_idx], namespace)
-
-        # Verify the actual runtime values
-        assert "root_cause" in namespace['SPECIALIST_MAX_TOKENS']
-        assert namespace['SPECIALIST_MAX_TOKENS']["root_cause"] == 127999
-
-        assert "impact" in namespace['SPECIALIST_MAX_TOKENS']
-        assert namespace['SPECIALIST_MAX_TOKENS']["impact"] == 63999
-
-        assert "fix_advisor" in namespace['SPECIALIST_MAX_TOKENS']
-        assert namespace['SPECIALIST_MAX_TOKENS']["fix_advisor"] == 63999
-
-        assert "reproducer" in namespace['SPECIALIST_MAX_TOKENS']
-        assert namespace['SPECIALIST_MAX_TOKENS']["reproducer"] == 63999
-
-    def test_all_specialists_have_max_tokens(self):
-        """Verify all investigation specialists have max_tokens configured."""
-        # Execute both constant definitions
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Execute the SPECIALIST_MAX_TOKENS definition
-        namespace = {}
-        start_idx = content.index('SPECIALIST_MAX_TOKENS = {')
-        brace_count = 0
-        in_dict = False
-        end_idx = start_idx
-        for i, char in enumerate(content[start_idx:], start=start_idx):
-            if char == '{':
-                brace_count += 1
-                in_dict = True
-            elif char == '}':
-                brace_count -= 1
-                if brace_count == 0 and in_dict:
-                    end_idx = i + 1
-                    break
-
-        exec(content[start_idx:end_idx], namespace)
-
-        # Parse INVESTIGATION_SPECIALISTS to get the names
-        # Find SpecialistConfig calls
-        import re
-        specialist_names = []
-        for match in re.finditer(r'SpecialistConfig\(\s*name="([^"]+)"', content):
-            specialist_names.append(match.group(1))
-
-        # All specialists should have max_tokens configured
-        configured_names = set(namespace['SPECIALIST_MAX_TOKENS'].keys())
-        for name in specialist_names:
-            assert name in configured_names, f"Missing max_tokens config for: {name}"
-
-
-class TestFastModeParameterPassing:
-    """Test fast_mode parameter is passed through to agents at runtime."""
-
-    def test_github_runner_config_has_fast_mode(self):
-        """Verify GitHubRunnerConfig has fast_mode field with correct default."""
-        # Just check that fast_mode exists in the source code
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "models.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Verify fast_mode field exists in GitHubRunnerConfig
-        assert 'fast_mode: bool = False' in content or 'fast_mode: bool' in content, "fast_mode field not found in GitHubRunnerConfig"
-
-    def test_parallel_agent_base_has_fast_mode_parameter(self):
-        """Verify ParallelAgentOrchestrator stores and passes fast_mode from config."""
-        # Read the source file and verify fast_mode is used
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "parallel_agent_base.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Verify that ParallelAgentOrchestrator.__init__ accepts config with fast_mode
-        assert 'def __init__' in content, "ParallelAgentOrchestrator.__init__ not found"
-        assert 'self.config = config' in content, "ParallelAgentOrchestrator does not store config"
-
-        # Verify fast_mode is passed to create_client in client_kwargs
-        assert '"fast_mode": self.config.fast_mode' in content, "fast_mode not passed to create_client"
-
-    def test_parallel_agent_base_has_fast_mode_in_client_kwargs(self):
-        """Verify ParallelAgentOrchestrator includes fast_mode in client_kwargs."""
-        # Read the source file and verify fast_mode is in the client_kwargs construction
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "parallel_agent_base.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # This is a runtime verification that the code exists
-        # We're not parsing AST, just checking the actual code that would be executed
-        assert 'client_kwargs:' in content, "client_kwargs not found in parallel_agent_base.py"
-        assert '"fast_mode": self.config.fast_mode' in content, "fast_mode not passed to create_client"
-
-
-class TestSpecialistTokenBudgetResolution:
-    """Test that specialist token budgets are resolved correctly at runtime."""
-
-    def test_specialist_max_tokens_constants(self):
-        """Verify SPECIALIST_MAX_TOKENS has the expected runtime values."""
-        # Execute the constant definition directly
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Execute the SPECIALIST_MAX_TOKENS definition
-        namespace = {}
-        start_idx = content.index('SPECIALIST_MAX_TOKENS = {')
-        brace_count = 0
-        in_dict = False
-        end_idx = start_idx
-        for i, char in enumerate(content[start_idx:], start=start_idx):
-            if char == '{':
-                brace_count += 1
-                in_dict = True
-            elif char == '}':
-                brace_count -= 1
-                if brace_count == 0 and in_dict:
-                    end_idx = i + 1
-                    break
-
-        exec(content[start_idx:end_idx], namespace)
-
-        # This is a runtime execution - we're checking actual values, not parsing files
-        assert namespace['SPECIALIST_MAX_TOKENS']["root_cause"] == 127999
-        assert namespace['SPECIALIST_MAX_TOKENS']["impact"] == 63999
-        assert namespace['SPECIALIST_MAX_TOKENS']["fix_advisor"] == 63999
-        assert namespace['SPECIALIST_MAX_TOKENS']["reproducer"] == 63999
-
-    def test_resolve_specialist_uses_max_tokens(self):
-        """Verify _resolve_specialist function uses SPECIALIST_MAX_TOKENS."""
-        # Read the source and verify the logic
-        source_file = Path(__file__).parent.parent.parent / "runners" / "github" / "services" / "issue_investigation_orchestrator.py"
-
-        with open(source_file, "r") as f:
-            content = f.read()
-
-        # Verify the _resolve_specialist function exists and uses SPECIALIST_MAX_TOKENS
-        assert 'def _resolve_specialist(' in content, "_resolve_specialist function not found"
-        assert 'SPECIALIST_MAX_TOKENS.get(' in content, "_resolve_specialist does not use SPECIALIST_MAX_TOKENS.get()"
-        assert 'get_thinking_budget(' in content, "_resolve_specialist does not use get_thinking_budget()"
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v"])

apps/frontend/XSTATE_MIGRATION_SUMMARY.md

@@ -28,34 +28,19 @@ We encountered and fixed this bug during development as it was blocking our test
 |-------|-------------|--------|
 | Phase 1 | Create XState machine definition (task-machine.ts) | ✅ Complete |
 | Phase 2 | Create TaskStateManager singleton wrapper | ✅ Complete |
-| Phase 3 | Integrate into agent-events-handlers.ts | ⏸️ Partially done |
-| Phase 4 | Remove legacy TaskStateMachine class | ❌ Not started |
+| Phase 3 | Integrate into agent-events-handlers.ts | ✅ Complete |
+| Phase 4 | Remove legacy TaskStateMachine class | ✅ Complete |
 
-### Why We Stopped at Phase 2
+### Migration Complete
 
-The original scope was to introduce XState as the new state management approach. Full integration (Phase 3-4) requires:
-
-- Extensive refactoring of agent-events-handlers.ts to remove all legacy decision logic
-- Removing the old TaskStateMachine class entirely
-- Migration of all status persistence to go through XState
-
-We delivered Phases 1-2 to establish the foundation. The current state has both systems running in parallel with XState as primary:
-
-- **XState is primary:** When TaskStateManager returns a valid state transition, that decision is used
-- **Legacy as fallback:** The old TaskStateMachine logic only applies when XState doesn't produce a decision
-- **Safe rollback:** If XState causes issues, the legacy system is still present and can take over
-
-This dual-system approach allows:
-- Validation that XState produces correct state transitions in production
-- Safe rollback if issues arise
-- Incremental adoption path for Phase 3-4
+All four phases are now complete. The XState-based `TaskStateManager` is the sole state management system — the legacy `TaskStateMachine` class and `validateStatusTransition()` function have been fully removed. `agent-events-handlers.ts` uses the XState-based `taskStateManager` singleton exclusively.
 
 ## What Changed
 
-### Before (Old Architecture)
+### Before (Old Architecture — Now Removed)
 - Status decisions scattered across agent-events-handlers.ts, execution-handlers.ts, worktree-handlers.ts
 - `validateStatusTransition()` function with complex conditional logic
-- TaskStateMachine class that was essentially an event emitter wrapper
+- `TaskStateMachine` class that was essentially an event emitter wrapper
 - Multiple places persisting status to implementation_plan.json
 - Race conditions possible when multiple handlers tried to update status
 
@@ -118,14 +103,6 @@ The state machine responds to these events:
 | CREATE_PR | User initiates PR creation |
 | PR_CREATED | PR successfully created |
 
-## Rollback Plan
-
-If issues arise post-merge:
-
-1. **Quick rollback:** `git revert <merge-commit>`
-2. **Restore point:** Commit 3e5f004a has old code intact
-3. **Legacy persistence still works:** implementation_plan.json continues to store status
-
 ## Testing
 
 | Test Suite | Result |
@@ -163,7 +140,7 @@ If issues arise post-merge:
 - Add @stately-ai/inspect for runtime devtools
 - **Subtask state management** - Track individual subtask states within the machine using XState parallel states
 - Add more granular QA states (qa_round_1, qa_round_2, etc.)
-- Complete Phase 3-4: Full integration and removal of legacy TaskStateMachine class
+
 
 ## Visualization
 

apps/frontend/biome.jsonc

@@ -24,10 +24,9 @@
         "recommended": true,
         "noNodejsModules": "off",
         "useImportExtensions": "off",
-        "noUnusedFunctionParameters": "off",
-        "noUnusedVariables": "off",
-        "useExhaustiveDependencies": "off",
-        "noInvalidUseBeforeDeclaration": "off"
+        "noUnusedFunctionParameters": "warn",
+        "noUnusedVariables": "warn",
+        "useExhaustiveDependencies": "warn"
       },
       "security": {
         "recommended": true,
@@ -46,8 +45,7 @@
         "noProcessEnv": "off",
         "useNodejsImportProtocol": "off",
         "useImportType": "off",
-        "useTemplate": "off",
-        "noNonNullAssertion": "off"
+        "useTemplate": "off"
       },
       "suspicious": {
         "recommended": true,
@@ -55,16 +53,14 @@
         "noEmptyBlockStatements": "warn",
         "noAssignInExpressions": "warn",
         "useAwait": "off",
-        "noExplicitAny": "off",
-        "noImplicitAnyLet": "off",
+        "noExplicitAny": "warn",
+        "noImplicitAnyLet": "warn",
         "useIterableCallbackReturn": "off",
-        "noControlCharactersInRegex": "off",
-        "noArrayIndexKey": "off",
-        "noShadowRestrictedNames": "off",
-        "noRedeclare": "off",
-        "noSelfCompare": "off",
-        "noFocusedTests": "off",
-        "noUselessEscapeInString": "off"
+        "noControlCharactersInRegex": "warn",
+        "noArrayIndexKey": "warn",
+        "noShadowRestrictedNames": "warn",
+        "noRedeclare": "warn",
+        "noSelfCompare": "warn"
       }
     }
   },

apps/frontend/package.json

@@ -1,6 +1,6 @@
 {
   "name": "auto-claude-ui",
-  "version": "2.7.6-beta.5",
+  "version": "2.7.6",
   "type": "module",
   "description": "Desktop UI for Auto Claude autonomous coding framework",
   "homepage": "https://github.com/AndyMik90/Auto-Claude",

apps/frontend/scripts/download-python.cjs

@@ -1118,7 +1118,8 @@ function validateInput(value, validValues, name) {
 
   // Remove any control characters or newlines (ASCII 0-31 and 127)
   // eslint-disable-next-line no-control-regex
-    const sanitized = String(value).replace(/[\x00-\x1f\x7f]/g, '');
+  // biome-ignore lint/suspicious/noControlCharactersInRegex: Intentional - sanitizing input by removing control characters
+  const sanitized = String(value).replace(/[\x00-\x1f\x7f]/g, '');
 
   if (!validValues.includes(sanitized)) {
     throw new Error(`Invalid ${name}: "${sanitized}". Valid values: ${validValues.join(', ')}`);

apps/frontend/src/__tests__/integration/subprocess-spawn.test.ts

@@ -186,7 +186,7 @@ describe('Subprocess Spawn Integration', () => {
           'Test task description'
         ]),
         expect.objectContaining({
-          cwd: AUTO_CLAUDE_SOURCE,  // Process runs from auto-claude source directory
+          cwd: TEST_PROJECT_PATH,  // Process runs from project directory to avoid cross-drive issues on Windows (#1661)
           env: expect.objectContaining({
             PYTHONUNBUFFERED: '1'
           })
@@ -218,7 +218,7 @@ describe('Subprocess Spawn Integration', () => {
           'spec-001'
         ]),
         expect.objectContaining({
-          cwd: AUTO_CLAUDE_SOURCE  // Process runs from auto-claude source directory
+          cwd: TEST_PROJECT_PATH  // Process runs from project directory to avoid cross-drive issues on Windows (#1661)
         })
       );
     }, 30000);  // Increase timeout for Windows CI (dynamic imports are slow)
@@ -248,7 +248,7 @@ describe('Subprocess Spawn Integration', () => {
           '--qa'
         ]),
         expect.objectContaining({
-          cwd: AUTO_CLAUDE_SOURCE  // Process runs from auto-claude source directory
+          cwd: TEST_PROJECT_PATH  // Process runs from project directory to avoid cross-drive issues on Windows (#1661)
         })
       );
     }, 30000);  // Increase timeout for Windows CI (dynamic imports are slow)
@@ -361,9 +361,13 @@ describe('Subprocess Spawn Integration', () => {
       const result = manager.killTask('task-1');
 
       expect(result).toBe(true);
+      // On Windows, kill() is called without arguments; on Unix, kill('SIGTERM') is used
+      if (isWindows()) {
+        expect(mockProcess.kill).toHaveBeenCalled();
+      } else {
+        expect(mockProcess.kill).toHaveBeenCalledWith('SIGTERM');
+      }
       expect(manager.isRunning('task-1')).toBe(false);
-      // Note: killProcessGracefully spawns taskkill on Windows, so mockProcess.kill is not called
-      // The test verifies the task is removed from tracking (isRunning returns false)
     }, 30000);  // Increase timeout for Windows CI (dynamic imports are slow)
 
     it('should return false when killing non-existent task', async () => {
@@ -433,21 +437,16 @@ describe('Subprocess Spawn Integration', () => {
       const promise1 = manager.startSpecCreation('task-1', TEST_PROJECT_PATH, 'Test 1');
       const promise2 = manager.startTaskExecution('task-2', TEST_PROJECT_PATH, 'spec-001');
 
-      // Wait for spawn to complete (ensures listeners are attached)
+      // Wait for spawn to complete (ensures listeners are attached), then emit exit
       await new Promise(resolve => setImmediate(resolve));
+      mockProcess.emit('exit', 0);
+      await promise1;
+      mockProcess.emit('exit', 0);
+      await promise2;
 
-      // Both tasks should be tracked
-      expect(manager.getRunningTasks()).toHaveLength(2);
-
-      // Kill both tasks
       await manager.killAll();
 
-      // Tasks should be removed from tracking
       expect(manager.getRunningTasks()).toHaveLength(0);
-
-      // Clean up the promises
-      mockProcess.emit('exit', 0);
-      await Promise.allSettled([promise1, promise2]);
     }, 10000);  // Increase timeout for Windows CI
 
     it('should allow sequential execution of same task', async () => {

apps/frontend/src/main/__tests__/file-watcher.test.ts

@@ -0,0 +1,301 @@
+/**
+ * Unit tests for FileWatcher concurrency mechanisms
+ * Tests deduplication, supersession, cancellation, and unwatchAll behaviour
+ * under concurrent watch()/unwatch() call patterns.
+ */
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { EventEmitter } from 'events';
+import path from 'path';
+
+// ---------------------------------------------------------------------------
+// Mock chokidar BEFORE importing FileWatcher so the module sees our mock.
+// ---------------------------------------------------------------------------
+
+// A minimal FSWatcher stub that lets us control when close() resolves.
+class MockFSWatcher extends EventEmitter {
+  close: ReturnType<typeof vi.fn>;
+  constructor(closeImpl?: () => Promise<void>) {
+    super();
+    this.close = vi.fn(closeImpl ?? (() => Promise.resolve()));
+  }
+}
+
+// Track every watcher created so tests can inspect them.
+let createdWatchers: MockFSWatcher[] = [];
+// Factory override — tests replace this to inject custom stubs.
+let watchFactory: (() => MockFSWatcher) | null = null;
+
+vi.mock('chokidar', () => ({
+  default: {
+    watch: vi.fn((_path: string, _opts: unknown) => {
+      const watcher = watchFactory ? watchFactory() : new MockFSWatcher();
+      createdWatchers.push(watcher);
+      return watcher;
+    })
+  }
+}));
+
+// Mock 'fs' so we can control existsSync / readFileSync without touching disk.
+vi.mock('fs', () => ({
+  existsSync: vi.fn(() => true),
+  readFileSync: vi.fn(() => JSON.stringify({ phases: [] }))
+}));
+
+// ---------------------------------------------------------------------------
+// Import after mocks are registered
+// ---------------------------------------------------------------------------
+import { FileWatcher } from '../file-watcher';
+
+// ---------------------------------------------------------------------------
+// Helpers
+// ---------------------------------------------------------------------------
+
+// ---------------------------------------------------------------------------
+// Tests
+// ---------------------------------------------------------------------------
+
+describe('FileWatcher concurrency', () => {
+  let fw: FileWatcher;
+
+  beforeEach(() => {
+    fw = new FileWatcher();
+    createdWatchers = [];
+    watchFactory = null;
+    vi.clearAllMocks();
+  });
+
+  afterEach(async () => {
+    // Clean up any watchers that are still open.
+    await fw.unwatchAll();
+  });
+
+  // -------------------------------------------------------------------------
+  // 1. Deduplication — same taskId + same specDir
+  // -------------------------------------------------------------------------
+  describe('deduplication: second watch() with same specDir is a no-op', () => {
+    it('should only create one FSWatcher when watch() is called twice with the same specDir while the first is still in-flight', async () => {
+      const specDir = '/project/.auto-claude/specs/001-task';
+      const taskId = 'task-1';
+
+      // To create a real async gap we need an existing watcher whose close() is slow.
+      // First, set up a watcher for taskId (completes synchronously).
+      await fw.watch(taskId, specDir);
+      expect(createdWatchers).toHaveLength(1);
+
+      // Replace close() with a slow one so the next watch() call has an async gap.
+      const existingWatcher = createdWatchers[0];
+      let resolveClose!: () => void;
+      existingWatcher.close = vi.fn(
+        () => new Promise<void>((res) => { resolveClose = res; })
+      );
+
+      // Now start two concurrent watch() calls for the SAME specDir.
+      // Both will try to enter, but the second should be deduplicated.
+      const watchPromise1 = fw.watch(taskId, specDir);
+      const watchPromise2 = fw.watch(taskId, specDir);
+
+      // Resolve the close so both can proceed.
+      resolveClose();
+      await Promise.all([watchPromise1, watchPromise2]);
+
+      // Only one new FSWatcher should have been created (the second call was a no-op).
+      // createdWatchers[0] is the original; createdWatchers[1] is the new one.
+      expect(createdWatchers).toHaveLength(2);
+      expect(fw.isWatching(taskId)).toBe(true);
+    });
+  });
+
+  // -------------------------------------------------------------------------
+  // 2. Supersession — same taskId, different specDir
+  // -------------------------------------------------------------------------
+  describe('supersession: watch() with different specDir replaces the in-flight call', () => {
+    it('should let the second call win when the first is awaiting close()', async () => {
+      const taskId = 'task-2';
+      const specDir1 = path.join('/project', '.auto-claude', 'specs', '001-first');
+      const specDir2 = path.join('/project', '.auto-claude', 'specs', '002-second');
+
+      // First call installs an existing watcher (simulate: the watcher for
+      // specDir1 is already set up so the second watch() needs to close it).
+      // We do this by running the first watch() to completion first.
+      await fw.watch(taskId, specDir1);
+      expect(createdWatchers).toHaveLength(1);
+
+      // Now make the close() of the first watcher slow so there's an async gap
+      // during which the second watch() can enter and supersede.
+      const existingWatcher = createdWatchers[0];
+      let resolveClose!: () => void;
+      existingWatcher.close = vi.fn(
+        () => new Promise<void>((res) => { resolveClose = res; })
+      );
+
+      // Start the second watch() — it will try to close the first watcher's
+      // FSWatcher and will be awaiting that.
+      const watch2Promise = fw.watch(taskId, specDir2);
+
+      // While the second watch() is awaiting close, start a THIRD call with
+      // yet another specDir — this supersedes the second call.
+      // Actually for the test described in the finding, we want:
+      // - First call bails, second call creates the watcher.
+      // Let's resolve the close and let watch2 finish.
+      resolveClose();
+      await watch2Promise;
+
+      // The final watcher should be for specDir2.
+      expect(fw.getWatchedSpecDir(taskId)).toBe(specDir2);
+      // Two watchers were created in total (one for each specDir).
+      expect(createdWatchers).toHaveLength(2);
+    });
+
+    it('first watch() bails when pendingWatches changes to a different specDir', async () => {
+      const taskId = 'task-super';
+      const specDir1 = path.join('/project', '.auto-claude', 'specs', 'super-first');
+      const specDir2 = path.join('/project', '.auto-claude', 'specs', 'super-second');
+
+      // Make the first watcher's close() slow so we can interleave.
+      let resolveFirstClose!: () => void;
+      watchFactory = () => {
+        const w = new MockFSWatcher(() => new Promise<void>((res) => { resolveFirstClose = res; }));
+        return w;
+      };
+
+      // Start first watch().
+      const watch1Promise = fw.watch(taskId, specDir1);
+
+      // Immediately start second watch() — before the first has resolved the
+      // slow close(). At this point specDir1 watch hasn't even created an
+      // FSWatcher yet (it's the very first call so there's no existing watcher
+      // to close), so watch1Promise may resolve synchronously up to watcher
+      // creation. Reset factory to normal for subsequent watcher creations.
+      watchFactory = null;
+
+      const watch2Promise = fw.watch(taskId, specDir2);
+
+      // Let any remaining microtasks run.
+      await Promise.resolve();
+      if (resolveFirstClose) resolveFirstClose();
+
+      await Promise.all([watch1Promise, watch2Promise]);
+
+      // The winning call (specDir2) should own the watcher.
+      expect(fw.getWatchedSpecDir(taskId)).toBe(specDir2);
+    });
+  });
+
+  // -------------------------------------------------------------------------
+  // 3. Cancellation — unwatch() during in-flight watch()
+  // -------------------------------------------------------------------------
+  describe('cancellation: unwatch() during in-flight watch() prevents watcher creation', () => {
+    it('should not create a watcher when unwatch() is called before the async gap resolves', async () => {
+      const taskId = 'task-3';
+      const specDir = '/project/.auto-claude/specs/003-cancel';
+
+      // There's no pre-existing watcher, so watch() won't call close(). But it
+      // does go async (chokidar.watch is sync but we can test the cancellation
+      // flag by calling unwatch() before watch() runs).
+      // The real async gap in watch() is the existing.watcher.close() call.
+      // For this test, let's pre-install a watcher so close() is called.
+
+      // Install a slow-close watcher for taskId by manually populating the map.
+      // We can do that by running a first watch(), then replacing close().
+      await fw.watch(taskId, specDir);
+
+      // Replace the watcher's close() with a slow one.
+      const existingWatcher = createdWatchers[0];
+      let resolveExistingClose!: () => void;
+      existingWatcher.close = vi.fn(
+        () => new Promise<void>((res) => { resolveExistingClose = res; })
+      );
+
+      // Start a second watch() — it will await the slow close().
+      const specDir2 = '/project/.auto-claude/specs/003-cancel-v2';
+      const watchPromise = fw.watch(taskId, specDir2);
+
+      // While watch() is in-flight, call unwatch().
+      await fw.unwatch(taskId);
+
+      // Now resolve the slow close so watch() can continue past the await.
+      resolveExistingClose();
+      await watchPromise;
+
+      // No new watcher should have been registered.
+      expect(fw.isWatching(taskId)).toBe(false);
+      // Only one FSWatcher was ever created (the original one for specDir).
+      expect(createdWatchers).toHaveLength(1);
+    });
+  });
+
+  // -------------------------------------------------------------------------
+  // 4. unwatchAll() with pending watches
+  // -------------------------------------------------------------------------
+  describe('unwatchAll() cancels all pending watches', () => {
+    it('should cancel pending watch() calls and clear pendingWatches', async () => {
+      const taskId1 = 'task-4a';
+      const taskId2 = 'task-4b';
+      const specDir1 = '/project/.auto-claude/specs/004a';
+      const specDir2 = '/project/.auto-claude/specs/004b';
+
+      // Set up slow-close scenario for taskId1 (so watch() is in-flight).
+      await fw.watch(taskId1, specDir1);
+      const watcher1 = createdWatchers[0];
+      let resolveClose1!: () => void;
+      watcher1.close = vi.fn(
+        () => new Promise<void>((res) => { resolveClose1 = res; })
+      );
+
+      // Start a new watch for taskId1 with a different specDir — this is now in-flight.
+      const newSpecDir1 = '/project/.auto-claude/specs/004a-v2';
+      const watchPromise1 = fw.watch(taskId1, newSpecDir1);
+
+      // Start a fresh watch for taskId2.
+      await fw.watch(taskId2, specDir2);
+
+      // Call unwatchAll() while watchPromise1 is still pending.
+      const unwatchAllPromise = fw.unwatchAll();
+
+      // Resolve the slow close so everything can proceed.
+      resolveClose1();
+      await Promise.all([watchPromise1, unwatchAllPromise]);
+
+      // After unwatchAll, no watchers should be active.
+      expect(fw.isWatching(taskId1)).toBe(false);
+      expect(fw.isWatching(taskId2)).toBe(false);
+
+      // pendingWatches should be cleared (we verify indirectly: a fresh
+      // watch() call for taskId1 must succeed without treating it as a duplicate).
+      const specDirFresh = path.join('/project', '.auto-claude', 'specs', '004a-fresh');
+      await fw.watch(taskId1, specDirFresh);
+      expect(fw.isWatching(taskId1)).toBe(true);
+      expect(fw.getWatchedSpecDir(taskId1)).toBe(specDirFresh);
+    });
+  });
+
+  // -------------------------------------------------------------------------
+  // 5. getWatchedSpecDir() returns correct specDir
+  // -------------------------------------------------------------------------
+  describe('getWatchedSpecDir()', () => {
+    it('returns the specDir that was passed to watch()', async () => {
+      const taskId = 'task-5';
+      const specDir = path.join('/project', '.auto-claude', 'specs', '005-specdir');
+
+      await fw.watch(taskId, specDir);
+
+      expect(fw.getWatchedSpecDir(taskId)).toBe(specDir);
+    });
+
+    it('returns null when the task is not being watched', () => {
+      expect(fw.getWatchedSpecDir('unknown-task')).toBeNull();
+    });
+
+    it('returns updated specDir after re-watch with different specDir', async () => {
+      const taskId = 'task-5b';
+      const specDir1 = path.join('/project', '.auto-claude', 'specs', '005b-first');
+      const specDir2 = path.join('/project', '.auto-claude', 'specs', '005b-second');
+
+      await fw.watch(taskId, specDir1);
+      expect(fw.getWatchedSpecDir(taskId)).toBe(specDir1);
+
+      await fw.watch(taskId, specDir2);
+      expect(fw.getWatchedSpecDir(taskId)).toBe(specDir2);
+    });
+  });
+});

apps/frontend/src/main/__tests__/insights-config.test.ts

@@ -14,7 +14,7 @@ vi.mock('electron', () => ({
 }));
 
 vi.mock('../rate-limit-detector', () => ({
-  getBestAvailableProfileEnv: () => Promise.resolve({
+  getBestAvailableProfileEnv: () => ({
     env: { CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token' },
     profileId: 'default',
     profileName: 'Default',

apps/frontend/src/main/__tests__/ndjson-parser.test.ts

@@ -44,7 +44,7 @@ function parseNDJSON(chunk: string, bufferRef: { current: string }): ProgressDat
         const progressData = JSON.parse(line);
         results.push(progressData);
       } catch {
-              // Skip invalid JSON - allows parser to be resilient to malformed data
+        // Skip invalid JSON - allows parser to be resilient to malformed data
       }
     }
   });

apps/frontend/src/main/__tests__/pr-review-state-manager.test.ts

@@ -0,0 +1,333 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { PRReviewStateManager } from '../pr-review-state-manager';
+import type { PRReviewResult, PRReviewProgress } from '../../preload/api/modules/github-api';
+
+// Mock dependencies
+const mockSafeSendToRenderer = vi.fn();
+vi.mock('../ipc-handlers/utils', () => ({
+  safeSendToRenderer: (...args: unknown[]) => mockSafeSendToRenderer(...args)
+}));
+
+function createMockGetMainWindow() {
+  return vi.fn(() => ({ id: 1 }) as unknown as Electron.BrowserWindow);
+}
+
+function createMockProgress(overrides: Partial<PRReviewProgress> = {}): PRReviewProgress {
+  return {
+    phase: 'analyzing',
+    progress: 50,
+    message: 'Analyzing files...',
+    ...overrides
+  } as PRReviewProgress;
+}
+
+function createMockResult(overrides: Partial<PRReviewResult> = {}): PRReviewResult {
+  return {
+    overallStatus: 'approved',
+    summary: 'Looks good',
+    ...overrides
+  } as PRReviewResult;
+}
+
+describe('PRReviewStateManager', () => {
+  let manager: PRReviewStateManager;
+  const projectId = 'project-1';
+  const prNumber = 42;
+
+  beforeEach(() => {
+    manager = new PRReviewStateManager(createMockGetMainWindow());
+    vi.clearAllMocks();
+  });
+
+  afterEach(() => {
+    manager.clearAll();
+  });
+
+  describe('actor lifecycle', () => {
+    it('should create actor on first handleStartReview call', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(snapshot).not.toBeNull();
+    });
+
+    it('should reuse existing actor for same PR key', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const snapshot1 = manager.getState(projectId, prNumber);
+      // Calling again should not create a new actor
+      manager.handleStartReview(projectId, prNumber);
+      const snapshot2 = manager.getState(projectId, prNumber);
+      expect(snapshot1).not.toBeNull();
+      expect(snapshot2).not.toBeNull();
+    });
+
+    it('should create separate actors for different PRs', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+      const snapshot1 = manager.getState(projectId, 1);
+      const snapshot2 = manager.getState(projectId, 2);
+      expect(snapshot1).not.toBeNull();
+      expect(snapshot2).not.toBeNull();
+    });
+
+    it('should start actor before events are sent', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const snapshot = manager.getState(projectId, prNumber);
+      // If actor wasn't started, getSnapshot would fail or return unexpected state
+      expect(snapshot).not.toBeNull();
+      expect(String(snapshot!.value)).toBe('reviewing');
+    });
+  });
+
+  describe('event routing', () => {
+    it('should transition to reviewing on handleStartReview', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('reviewing');
+    });
+
+    it('should send START_FOLLOWUP_REVIEW with previousResult', () => {
+      const previousResult = createMockResult();
+      manager.handleStartFollowupReview(projectId, prNumber, previousResult);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('reviewing');
+      expect(snapshot!.context.isFollowup).toBe(true);
+      expect(snapshot!.context.previousResult).toBe(previousResult);
+    });
+
+    it('should send START_REVIEW when handleStartFollowupReview has no previousResult', () => {
+      manager.handleStartFollowupReview(projectId, prNumber);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('reviewing');
+      expect(snapshot!.context.isFollowup).toBe(false);
+    });
+
+    it('should update context on handleProgress', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const progress = createMockProgress();
+      manager.handleProgress(projectId, prNumber, progress);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(snapshot!.context.progress).toEqual(progress);
+    });
+
+    it('should ignore handleProgress for unknown PR', () => {
+      // Should not throw
+      manager.handleProgress(projectId, 999, createMockProgress());
+      expect(manager.getState(projectId, 999)).toBeNull();
+    });
+
+    it('should transition to completed on handleComplete', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const result = createMockResult();
+      manager.handleComplete(projectId, prNumber, result);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('completed');
+      expect(snapshot!.context.result).toEqual(result);
+    });
+
+    it('should create actor for handleComplete on unknown PR (late-arriving result)', () => {
+      const result = createMockResult();
+      // No handleStartReview called — handleComplete should create the actor
+      manager.handleComplete(projectId, prNumber, result);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(snapshot).not.toBeNull();
+      expect(snapshot!.context.result).toEqual(result);
+    });
+
+    it('should send DETECT_EXTERNAL_REVIEW when overallStatus is in_progress', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const result = createMockResult({ overallStatus: 'in_progress' });
+      manager.handleComplete(projectId, prNumber, result);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('externalReview');
+    });
+
+    it('should transition to error on handleError', () => {
+      manager.handleStartReview(projectId, prNumber);
+      manager.handleError(projectId, prNumber, 'Something went wrong');
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('error');
+      expect(snapshot!.context.error).toBe('Something went wrong');
+    });
+
+    it('should transition to error on handleCancel', () => {
+      manager.handleStartReview(projectId, prNumber);
+      manager.handleCancel(projectId, prNumber);
+      const snapshot = manager.getState(projectId, prNumber);
+      expect(String(snapshot!.value)).toBe('error');
+    });
+  });
+
+  describe('state emission', () => {
+    it('should emit state changes to renderer via safeSendToRenderer', () => {
+      manager.handleStartReview(projectId, prNumber);
+      expect(mockSafeSendToRenderer).toHaveBeenCalled();
+    });
+
+    it('should use GITHUB_PR_REVIEW_STATE_CHANGE IPC channel', () => {
+      manager.handleStartReview(projectId, prNumber);
+      expect(mockSafeSendToRenderer).toHaveBeenCalledWith(
+        expect.any(Function),
+        'github:pr:reviewStateChange',
+        expect.any(String),
+        expect.objectContaining({ state: expect.any(String) })
+      );
+    });
+
+    it('should emit PRReviewStatePayload with correct shape', () => {
+      manager.handleStartReview(projectId, prNumber);
+      // Find the call that emits 'reviewing' state
+      const reviewingCall = mockSafeSendToRenderer.mock.calls.find(
+        (call: unknown[]) => {
+          const payload = call[3] as Record<string, unknown> | undefined;
+          return payload && typeof payload === 'object' && payload.state === 'reviewing';
+        }
+      );
+      expect(reviewingCall).toBeDefined();
+      expect(reviewingCall![2]).toBe(`${projectId}:${prNumber}`);
+      const payload = reviewingCall![3] as Record<string, unknown>;
+      expect(payload).toEqual(expect.objectContaining({
+        state: 'reviewing',
+        prNumber,
+        projectId,
+        isReviewing: true,
+        startedAt: expect.any(String),
+        progress: null,
+        result: null,
+        previousResult: null,
+        error: null,
+        isExternalReview: false,
+        isFollowup: false,
+      }));
+    });
+
+    it('should use projectId:prNumber as key format', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const calls = mockSafeSendToRenderer.mock.calls;
+      const prCall = calls.find((call: unknown[]) => call[2] === `${projectId}:${prNumber}`);
+      expect(prCall).toBeDefined();
+    });
+  });
+
+  describe('deduplication', () => {
+    it('should NOT emit duplicate IPC for same state + same context', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const callCountAfterStart = mockSafeSendToRenderer.mock.calls.length;
+
+      // Sending START_REVIEW again won't transition (guard prevents it), so no new emission
+      manager.handleStartReview(projectId, prNumber);
+      expect(mockSafeSendToRenderer.mock.calls.length).toBe(callCountAfterStart);
+    });
+
+    it('should emit for same state but different context (progress update)', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const callCountAfterStart = mockSafeSendToRenderer.mock.calls.length;
+
+      manager.handleProgress(projectId, prNumber, createMockProgress({ progress: 25, message: 'Step 1' }));
+      expect(mockSafeSendToRenderer.mock.calls.length).toBeGreaterThan(callCountAfterStart);
+
+      const callCountAfterProgress1 = mockSafeSendToRenderer.mock.calls.length;
+      manager.handleProgress(projectId, prNumber, createMockProgress({ progress: 75, message: 'Step 2' }));
+      expect(mockSafeSendToRenderer.mock.calls.length).toBeGreaterThan(callCountAfterProgress1);
+    });
+
+    it('should always emit for different state transitions', () => {
+      manager.handleStartReview(projectId, prNumber);
+      const callCountAfterStart = mockSafeSendToRenderer.mock.calls.length;
+
+      manager.handleComplete(projectId, prNumber, createMockResult());
+      expect(mockSafeSendToRenderer.mock.calls.length).toBeGreaterThan(callCountAfterStart);
+    });
+  });
+
+  describe('cleanup', () => {
+    it('should stop actor and remove from map on handleClearReview', () => {
+      manager.handleStartReview(projectId, prNumber);
+      expect(manager.getState(projectId, prNumber)).not.toBeNull();
+
+      manager.handleClearReview(projectId, prNumber);
+      expect(manager.getState(projectId, prNumber)).toBeNull();
+    });
+
+    it('should emit exactly one cleared state IPC on handleClearReview (no double emission)', () => {
+      manager.handleStartReview(projectId, prNumber);
+      mockSafeSendToRenderer.mockClear();
+
+      manager.handleClearReview(projectId, prNumber);
+
+      // Should emit exactly 1 cleared state, not 2 (no double emission from
+      // sending CLEAR_REVIEW to actor subscription + manual emitClearedState)
+      expect(mockSafeSendToRenderer).toHaveBeenCalledTimes(1);
+      const payload = mockSafeSendToRenderer.mock.calls[0][3] as Record<string, unknown>;
+      expect(payload).toEqual(expect.objectContaining({ state: 'idle' }));
+    });
+
+    it('should stop ALL actors and clear maps on handleAuthChange', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+
+      manager.handleAuthChange();
+
+      expect(manager.getState(projectId, 1)).toBeNull();
+      expect(manager.getState(projectId, 2)).toBeNull();
+    });
+
+    it('should emit cleared state to renderer on handleAuthChange', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+      mockSafeSendToRenderer.mockClear();
+
+      manager.handleAuthChange();
+
+      // Should emit idle/null state for each PR
+      expect(mockSafeSendToRenderer).toHaveBeenCalledTimes(2);
+      for (const call of mockSafeSendToRenderer.mock.calls) {
+        const payload = call[3] as Record<string, unknown>;
+        expect(payload).toEqual(expect.objectContaining({ state: 'idle' }));
+      }
+    });
+
+    it('should stop all actors on clearAll', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+
+      manager.clearAll();
+
+      expect(manager.getState(projectId, 1)).toBeNull();
+      expect(manager.getState(projectId, 2)).toBeNull();
+    });
+  });
+
+  describe('concurrent PRs', () => {
+    it('should support multiple PRs with independent actors', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+
+      manager.handleComplete(projectId, 1, createMockResult());
+
+      expect(String(manager.getState(projectId, 1)!.value)).toBe('completed');
+      expect(String(manager.getState(projectId, 2)!.value)).toBe('reviewing');
+    });
+
+    it('should route events to correct actor by key', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+
+      manager.handleError(projectId, 2, 'Error on PR 2');
+
+      expect(String(manager.getState(projectId, 1)!.value)).toBe('reviewing');
+      expect(String(manager.getState(projectId, 2)!.value)).toBe('error');
+      expect(manager.getState(projectId, 2)!.context.error).toBe('Error on PR 2');
+    });
+
+    it('should not affect other PRs when clearing one', () => {
+      manager.handleStartReview(projectId, 1);
+      manager.handleStartReview(projectId, 2);
+
+      manager.handleClearReview(projectId, 1);
+
+      expect(manager.getState(projectId, 1)).toBeNull();
+      expect(manager.getState(projectId, 2)).not.toBeNull();
+      expect(String(manager.getState(projectId, 2)!.value)).toBe('reviewing');
+    });
+  });
+});

apps/frontend/src/main/__tests__/unified-swap.test.ts

@@ -1,373 +0,0 @@
-/**
- * Tests for unified OAuth + API profile swap logic (Issue #1798)
- *
- * Tests the core changes that wire the unified swap infrastructure into
- * actual execution paths:
- * - getBestAvailableUnifiedAccount() in ClaudeProfileManager
- * - Removal of isAPIProfile gate in UsageMonitor
- * - Spawn-time swap respects active API profile (rate-limit-detector)
- * - Swap cooldown to prevent rapid back-and-forth
- */
-
-import { describe, it, expect, vi, beforeEach } from 'vitest';
-
-// --- Shared mock state ---
-const mockAPIProfiles = [
-  {
-    id: 'api-glm-1',
-    name: 'GLM API',
-    baseUrl: 'https://api.z.ai/api/anthropic',
-    apiKey: 'sk-glm-key-1'
-  },
-  {
-    id: 'api-anthropic-1',
-    name: 'Anthropic API',
-    baseUrl: 'https://api.anthropic.com',
-    apiKey: 'sk-ant-key-1'
-  }
-];
-
-const mockLoadProfilesFile = vi.fn(async () => ({
-  profiles: [...mockAPIProfiles],
-  activeProfileId: null as string | null,
-  version: 1
-}));
-
-vi.mock('../services/profile/profile-manager', () => ({
-  loadProfilesFile: () => mockLoadProfilesFile(),
-  setActiveAPIProfile: vi.fn()
-}));
-
-// Mock profile-scorer to control availability
-vi.mock('../claude-profile/profile-scorer', async (importOriginal) => {
-  const actual = await importOriginal<typeof import('../claude-profile/profile-scorer')>();
-  return {
-    ...actual,
-    checkProfileAvailability: vi.fn(() => ({ available: true }))
-  };
-});
-
-// Mock profile-utils with importOriginal to keep CLAUDE_PROFILES_DIR
-vi.mock('../claude-profile/profile-utils', async (importOriginal) => {
-  const actual = await importOriginal<typeof import('../claude-profile/profile-utils')>();
-  return {
-    ...actual,
-    getEmailFromConfigDir: vi.fn(() => 'test@example.com')
-  };
-});
-
-// Mock credential-utils
-vi.mock('../claude-profile/credential-utils', () => ({
-  getCredentialsFromKeychain: vi.fn(() => ({
-    token: 'mock-token',
-    email: 'test@example.com'
-  })),
-  clearKeychainCache: vi.fn(),
-  normalizeWindowsPath: vi.fn((p: string) => p),
-  updateProfileSubscriptionMetadata: vi.fn()
-}));
-
-// Mock token-refresh
-vi.mock('../claude-profile/token-refresh', () => ({
-  refreshOAuthToken: vi.fn(),
-  isTokenExpired: vi.fn(() => false),
-  getTokenExpirationTime: vi.fn(() => null),
-  initializeTokenRefresh: vi.fn(),
-  stopTokenRefresh: vi.fn(),
-  scheduleTokenRefresh: vi.fn()
-}));
-
-// Mock electron
-vi.mock('electron', () => ({
-  app: {
-    getPath: vi.fn(() => '/fake/user-data'),
-    getAppPath: vi.fn(() => '/fake/app-path')
-  }
-}));
-
-// Mock usage-monitor
-vi.mock('../claude-profile/usage-monitor', () => ({
-  getUsageMonitor: vi.fn(() => ({
-    on: vi.fn(),
-    off: vi.fn(),
-    emit: vi.fn(),
-    start: vi.fn(),
-    stop: vi.fn()
-  })),
-  UsageMonitor: { getInstance: vi.fn() }
-}));
-
-import { ClaudeProfileManager } from '../claude-profile-manager';
-import { checkProfileAvailability } from '../claude-profile/profile-scorer';
-
-describe('getBestAvailableUnifiedAccount', () => {
-  let manager: ClaudeProfileManager;
-
-  const mockAutoSwitchSettings = {
-    enabled: true,
-    proactiveSwapEnabled: true,
-    usageCheckInterval: 30000,
-    sessionThreshold: 95,
-    weeklyThreshold: 99
-  };
-
-  const mockOAuthProfiles = [
-    {
-      id: 'oauth-1',
-      name: 'OAuth Profile 1',
-      isAuthenticated: true,
-      isDefault: true,
-      usage: { sessionUsagePercent: 50, weeklyUsagePercent: 30 }
-    },
-    {
-      id: 'oauth-2',
-      name: 'OAuth Profile 2',
-      isAuthenticated: true,
-      isDefault: false,
-      usage: { sessionUsagePercent: 20, weeklyUsagePercent: 10 }
-    }
-  ];
-
-  beforeEach(() => {
-    vi.clearAllMocks();
-    manager = new ClaudeProfileManager();
-
-    // Override internal state
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([]);
-    vi.spyOn(manager, 'getAutoSwitchSettings').mockReturnValue(mockAutoSwitchSettings as any);
-    vi.spyOn(manager, 'getProfilesSortedByAvailability').mockReturnValue(mockOAuthProfiles as any);
-
-    // Default: all profiles available
-    vi.mocked(checkProfileAvailability).mockReturnValue({ available: true });
-
-    // Default: API profiles available
-    mockLoadProfilesFile.mockResolvedValue({
-      profiles: [...mockAPIProfiles],
-      activeProfileId: null,
-      version: 1
-    });
-  });
-
-  it('should return OAuth profile when both available and no priority set', async () => {
-    const result = await manager.getBestAvailableUnifiedAccount('excluded-id');
-
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('oauth');
-    expect(result?.id).toBe('oauth-1');
-  });
-
-  it('should return API profile when it has higher priority', async () => {
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([
-      'api-api-glm-1',    // API first
-      'oauth-oauth-1',    // OAuth second
-      'oauth-oauth-2'
-    ]);
-
-    const result = await manager.getBestAvailableUnifiedAccount('excluded-id');
-
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('api');
-    expect(result?.id).toBe('api-glm-1');
-    expect(result?.name).toBe('GLM API');
-  });
-
-  it('should exclude the specified profile ID', async () => {
-    const result = await manager.getBestAvailableUnifiedAccount('oauth-1');
-
-    expect(result).not.toBeNull();
-    expect(result?.id).not.toBe('oauth-1');
-  });
-
-  it('should exclude additional profile IDs', async () => {
-    const result = await manager.getBestAvailableUnifiedAccount('oauth-1', ['oauth-2']);
-
-    // Both OAuth excluded, should fall through to API
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('api');
-  });
-
-  it('should return null when all profiles are excluded', async () => {
-    const result = await manager.getBestAvailableUnifiedAccount(
-      'oauth-1',
-      ['oauth-2', 'api-glm-1', 'api-anthropic-1']
-    );
-
-    expect(result).toBeNull();
-  });
-
-  it('should skip API profiles without apiKey', async () => {
-    mockLoadProfilesFile.mockResolvedValue({
-      profiles: [
-        { id: 'api-no-key', name: 'No Key', baseUrl: 'https://example.com', apiKey: '' }
-      ],
-      activeProfileId: null,
-      version: 1
-    });
-
-    // Exclude all OAuth
-    vi.spyOn(manager, 'getProfilesSortedByAvailability').mockReturnValue([]);
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).toBeNull();
-  });
-
-  it('should skip unavailable OAuth profiles (rate limited)', async () => {
-    // Mock checkProfileAvailability to reject all OAuth profiles
-    vi.mocked(checkProfileAvailability).mockReturnValue({
-      available: false,
-      reason: 'rate limited'
-    });
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    // OAuth filtered out, should get API
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('api');
-  });
-
-  it('should handle API profile loading error gracefully', async () => {
-    mockLoadProfilesFile.mockRejectedValue(new Error('File not found'));
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    // Should still return OAuth profile
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('oauth');
-  });
-
-  it('should sort by priority order correctly with mixed types', async () => {
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([
-      'oauth-oauth-2',    // OAuth-2 is highest priority
-      'api-api-glm-1',    // API second
-      'oauth-oauth-1'     // OAuth-1 is lowest
-    ]);
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).not.toBeNull();
-    expect(result?.id).toBe('oauth-2');
-    expect(result?.type).toBe('oauth');
-  });
-
-  it('should handle empty profiles list', async () => {
-    vi.spyOn(manager, 'getProfilesSortedByAvailability').mockReturnValue([]);
-    mockLoadProfilesFile.mockResolvedValue({
-      profiles: [],
-      activeProfileId: null,
-      version: 1
-    });
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).toBeNull();
-  });
-
-  it('should include correct priorityIndex in result', async () => {
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([
-      'api-api-glm-1'
-    ]);
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).not.toBeNull();
-    expect(result?.priorityIndex).toBe(0); // First in priority order
-  });
-
-  it('should assign Infinity priorityIndex when not in priority order', async () => {
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([]);
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).not.toBeNull();
-    expect(result?.priorityIndex).toBe(Infinity);
-  });
-
-  it('should consider multiple API profiles with correct scoring', async () => {
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([
-      'api-api-anthropic-1',   // Anthropic API first
-      'api-api-glm-1'          // GLM second
-    ]);
-
-    // Exclude all OAuth
-    vi.spyOn(manager, 'getProfilesSortedByAvailability').mockReturnValue([]);
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).not.toBeNull();
-    expect(result?.id).toBe('api-anthropic-1');
-    expect(result?.type).toBe('api');
-    expect(result?.priorityIndex).toBe(0);
-  });
-
-  it('should handle both OAuth and API exhausted gracefully', async () => {
-    // All OAuth unavailable
-    vi.mocked(checkProfileAvailability).mockReturnValue({
-      available: false,
-      reason: 'rate limited'
-    });
-
-    // No API profiles
-    mockLoadProfilesFile.mockResolvedValue({
-      profiles: [],
-      activeProfileId: null,
-      version: 1
-    });
-
-    const result = await manager.getBestAvailableUnifiedAccount();
-
-    expect(result).toBeNull();
-  });
-
-  it('should prefer OAuth when both have same Infinity priority', async () => {
-    // No priority order set
-    vi.spyOn(manager, 'getAccountPriorityOrder').mockReturnValue([]);
-
-    const result = await manager.getBestAvailableUnifiedAccount('excluded-id');
-
-    // OAuth should come first by default
-    expect(result).not.toBeNull();
-    expect(result?.type).toBe('oauth');
-  });
-});
-
-describe('UsageMonitor - isAPIProfile gate removal', () => {
-  // Use actual file path since require.resolve doesn't work with mocked modules
-  const usageMonitorPath = new URL('../claude-profile/usage-monitor.ts', import.meta.url).pathname.replace(/^\/([A-Z]:)/, '$1');
-
-  it('should NOT contain isAPIProfile guard in checkUsageAndSwap swap logic', async () => {
-    const fs = await import('node:fs');
-    const source = fs.readFileSync(usageMonitorPath, 'utf-8');
-
-    // The old guard "Skipping proactive swap for API profile" should be removed
-    expect(source).not.toContain('Skipping proactive swap for API profile');
-  });
-
-  it('should NOT contain isAPIProfile guard in handleAuthFailure', async () => {
-    const fs = await import('node:fs');
-    const source = fs.readFileSync(usageMonitorPath, 'utf-8');
-
-    // The old guard should be removed - handleAuthFailure should work for all profile types
-    expect(source).not.toContain('using API profile, skipping swap');
-  });
-
-  it('should contain swap cooldown logic', async () => {
-    const fs = await import('node:fs');
-    const source = fs.readFileSync(usageMonitorPath, 'utf-8');
-
-    // Swap cooldown was added to prevent rapid back-and-forth
-    expect(source).toContain('SWAP_COOLDOWN_MS');
-    expect(source).toContain('lastSwapTimestamp');
-    expect(source).toContain('Swap cooldown active');
-  });
-
-  it('should use getBestAvailableUnifiedAccount in performProactiveSwap', async () => {
-    const fs = await import('node:fs');
-    const source = fs.readFileSync(usageMonitorPath, 'utf-8');
-
-    // performProactiveSwap should use the unified selection instead of inline logic
-    expect(source).toContain('getBestAvailableUnifiedAccount');
-    // The old inline unified list-building logic should be removed
-    expect(source).not.toContain('UnifiedSwapTarget');
-  });
-});

apps/frontend/src/main/agent/README.md

@@ -1,489 +0,0 @@
-# Agent Queue System
-
-## Overview
-
-The Agent Queue System manages the lifecycle and execution of background AI agents in Auto Claude. It ensures that agents spawn sequentially to prevent race conditions and file corruption.
-
-## Why Sequential Execution?
-
-### The Problem: `~/.claude.json` Race Condition
-
-When multiple agents spawn concurrently, they all attempt to read and write to `~/.claude.json`:
-
-```
-Agent 1: Read ~/.claude.json → Modify → Write
-Agent 2: Read ~/.claude.json → Modify → Write (concurrently!)
-Agent 3: Read ~/.claude.json → Modify → Write (concurrently!)
-```
-
-This caused:
-- **JSON corruption**: Invalid JSON structure from interleaved writes
-- **Backup file accumulation**: `.claude.json.backup`, `.claude.json.backup.1`, etc.
-- **Lost configuration**: Last write wins, earlier changes lost
-- **Mysterious failures**: Agents failing with "invalid JSON" errors
-
-### The Solution: Sequential Spawning via SpawnQueue
-
-All agent types now execute **sequentially** through a FIFO queue:
-
-```
-Request 1 (ideation) → Spawn → Wait for exit → Next
-Request 2 (roadmap)  → Spawn → Wait for exit → Next
-Request 3 (ideation) → Spawn → Wait for exit → Next
-```
-
-**Benefits:**
-- No concurrent writes to `~/.claude.json`
-- No JSON corruption or backup files
-- Predictable execution order
-- Simple error recovery (continue on failure)
-
-## Architecture
-
-### Components
-
-```
-┌─────────────────────────────────────────────────────────────┐
-│                     AgentQueueManager                        │
-│  - startIdeationGeneration()                                 │
-│  - startRoadmapGeneration()                                  │
-│  - stopIdeation() / stopRoadmap()                            │
-└──────────────────────┬──────────────────────────────────────┘
-                       │
-                       ▼
-              ┌─────────────────┐
-              │   SpawnQueue    │
-              │  (FIFO Queue)   │
-              └────────┬────────┘
-                       │
-         ┌─────────────┴─────────────┐
-         ▼                           ▼
-┌─────────────────────┐    ┌─────────────────────┐
-│ executeIdeationSpawn│    │executeRoadmapSpawn  │
-│  (ideation_runner)  │    │ (roadmap_runner)    │
-└─────────────────────┘    └─────────────────────┘
-         │                           │
-         └───────────┬───────────────┘
-                     ▼
-            ┌─────────────────┐
-            │  AgentState     │
-            │  - addProcess() │
-            │  - deleteProcess│
-            └─────────────────┘
-                     │
-                     ▼
-            ┌─────────────────┐
-            │  AgentEvents    │
-            │  (emit events)  │
-            └─────────────────┘
-```
-
-### Data Flow
-
-1. **User Request**: User triggers ideation or roadmap generation from UI
-2. **Enqueue**: `AgentQueueManager` creates `SpawnRequest` and enqueues it
-3. **Queue Processing**: `SpawnQueue` processes requests FIFO
-4. **Spawn Execution**: Router calls `executeIdeationSpawn()` or `executeRoadmapSpawn()`
-5. **Process Tracking**: Spawned process added to `AgentState` for tracking
-6. **Event Handlers**: stdout/stderr/exit handlers attached to process
-7. **Wait for Exit**: Queue waits for process to exit before processing next
-8. **Completion**: Success/error events emitted to renderer process
-
-### Queue Behavior
-
-**FIFO Processing:**
-- First in, first out
-- No priority system (simple is better)
-- All agent types share same queue
-
-**Error Resilience:**
-- If spawn fails, invoke `onError` callback
-- Continue to next item in queue
-- Don't block queue on single failure
-
-**Sequential Execution:**
-- Only one agent spawns at a time
-- Wait for `process.exit()` before next spawn
-- Prevents `~/.claude.json` race condition
-
-## Agent Types
-
-### Ideation Agents
-
-**Purpose**: Discover improvements, performance issues, security vulnerabilities
-
-**Runner**: `apps/backend/runners/ideation_runner.py`
-
-**Types**:
-- `discovery`: Code improvements and refactorings
-- `performance`: Performance optimizations
-- `security`: Security vulnerabilities
-- `testing`: Test coverage gaps
-- `documentation`: Documentation improvements
-- `accessibility`: Accessibility issues
-
-**Process Type**: `'ideation'`
-
-**Events**:
-- `ideation-progress`: Progress updates with phase/message
-- `ideation-log`: Log output lines
-- `ideation-type-complete`: Single type completed with ideas
-- `ideation-type-failed`: Single type failed
-- `ideation-complete`: All types completed
-- `ideation-error`: Fatal error
-- `ideation-stopped`: User stopped generation
-
-### Roadmap Agents
-
-**Purpose**: Generate strategic roadmap with competitor analysis
-
-**Runner**: `apps/backend/runners/roadmap_runner.py`
-
-**Features**:
-- Strategic feature planning
-- Competitive analysis (optional)
-- Timeline estimation
-- Priority ranking
-
-**Process Type**: `'roadmap'`
-
-**Events**:
-- `roadmap-progress`: Progress updates with phase/message
-- `roadmap-log`: Log output lines
-- `roadmap-complete`: Roadmap generated
-- `roadmap-error`: Fatal error
-- `roadmap-stopped`: User stopped generation
-
-### Build Agents (Not in Queue)
-
-**Note**: Build agents (planner, coder, QA) are managed separately by `agent-process.ts` and do **not** go through this queue. They have their own spawning mechanism tied to spec/task lifecycle.
-
-## Process State Tracking
-
-Each spawned process is tracked in `AgentState`:
-
-```typescript
-interface QueuedProcessInfo {
-  taskId: string;           // Project ID or task ID
-  process: ChildProcess;    // Node.js ChildProcess instance
-  startedAt: Date;          // When process was spawned
-  projectPath: string;      // Project directory path
-  spawnId: number;          // Unique spawn ID
-  queueProcessType: 'ideation' | 'roadmap'; // Process type
-}
-```
-
-**Key Methods:**
-- `addProcess(projectId, info)`: Track spawned process
-- `getProcess(projectId)`: Get process info
-- `deleteProcess(projectId)`: Remove from tracking
-- `generateSpawnId()`: Generate unique spawn ID
-- `wasSpawnKilled(spawnId)`: Check if intentionally stopped
-- `clearKilledSpawn(spawnId)`: Clear killed flag
-
-## Adding New Agent Types
-
-To add a new agent type to the sequential queue:
-
-### 1. Define Process Type
-
-Add to `QueuedProcessInfo` type in `agent-state.ts`:
-
-```typescript
-queueProcessType: 'ideation' | 'roadmap' | 'new-type';
-```
-
-### 2. Create Spawn Executor
-
-Add method in `AgentQueueManager`:
-
-```typescript
-private async executeNewTypeSpawn(
-  spawnId: string,
-  projectPath: string,
-  args: string[],
-  env: Record<string, string>,
-  projectId: string,
-  cwd: string
-): Promise<ChildProcess> {
-  // Spawn the process
-  const childProcess = spawn(/* ... */);
-
-  // Add to state tracking
-  this.state.addProcess(projectId, {
-    taskId: projectId,
-    process: childProcess,
-    startedAt: new Date(),
-    projectPath,
-    spawnId: parseInt(spawnId, 10),
-    queueProcessType: 'new-type'
-  });
-
-  return childProcess;
-}
-```
-
-### 3. Create Spawn Wrapper
-
-Add method in `AgentQueueManager` to enqueue requests:
-
-```typescript
-async startNewTypeGeneration(
-  projectId: string,
-  projectPath: string,
-  config: NewTypeConfig
-): Promise<void> {
-  // Build args
-  const args = ['runner.py', '--project', projectPath];
-
-  // Enqueue spawn request
-  this.spawnQueue.enqueue({
-    id: String(spawnId),
-    type: 'new-type',
-    projectId,
-    projectPath,
-    args,
-    env: finalEnv,
-    cwd,
-    onSpawn: async (childProcess) => {
-      // Attach event handlers
-      childProcess.stdout?.on('data', (data) => { /* ... */ });
-      childProcess.on('exit', (code) => { /* ... */ });
-    },
-    onError: (error) => {
-      this.emitter.emit('new-type-error', projectId, error.message);
-    }
-  });
-}
-```
-
-### 4. Update SpawnQueue Router
-
-Update constructor in `AgentQueueManager`:
-
-```typescript
-this.spawnQueue = new SpawnQueue(async (id, projectPath, args, env, projectId, cwd, type = 'ideation') => {
-  if (type === 'roadmap') {
-    return this.executeRoadmapSpawn(id, projectPath, args, env, projectId, cwd);
-  } else if (type === 'new-type') {
-    return this.executeNewTypeSpawn(id, projectPath, args, env, projectId, cwd);
-  } else {
-    return this.executeIdeationSpawn(id, projectPath, args, env, projectId, cwd);
-  }
-});
-```
-
-### 5. Add Event Emitter Methods
-
-Add stop/status methods:
-
-```typescript
-stopNewType(projectId: string): boolean {
-  const processInfo = this.state.getProcess(projectId);
-  const isNewType = processInfo?.queueProcessType === 'new-type';
-
-  if (isNewType) {
-    this.processManager.killProcess(projectId);
-    this.emitter.emit('new-type-stopped', projectId);
-    return true;
-  }
-  return false;
-}
-
-isNewTypeRunning(projectId: string): boolean {
-  const processInfo = this.state.getProcess(projectId);
-  return processInfo?.queueProcessType === 'new-type';
-}
-```
-
-## Rate Limit Detection
-
-The queue system automatically detects API rate limits:
-
-1. **Collect Output**: stdout/stderr collected during process execution
-2. **Detect Patterns**: Checks for rate limit error messages
-3. **Emit Event**: `sdk-rate-limit` event with detection info
-4. **Auto-Switch**: Profile scorer automatically switches to next available profile
-
-**Detection**:
-```typescript
-const rateLimitDetection = detectRateLimit(allOutput);
-if (rateLimitDetection.isRateLimited) {
-  const rateLimitInfo = createSDKRateLimitInfo('ideation', rateLimitDetection, { projectId });
-  this.emitter.emit('sdk-rate-limit', rateLimitInfo);
-}
-```
-
-## Python Environment Management
-
-Agents require a Python environment with dependencies:
-
-1. **Pre-flight Check**: `ensurePythonEnvReady()` checks if venv is ready
-2. **Venv Creation**: If needed, creates venv and installs dependencies
-3. **Python Path**: Uses configured Python path (or bundled Python)
-4. **PYTHONPATH**: Bundled site-packages + autoBuildSource for imports
-
-**Environment Variables**:
-```typescript
-const finalEnv = {
-  ...process.env,
-  ...pythonEnv,           // Bundled packages
-  ...combinedEnv,         // auto-claude/.env
-  ...profileEnv,          // OAuth token
-  ...apiProfileEnv,       // API profile config
-  PYTHONPATH: combinedPythonPath,
-  PYTHONUNBUFFERED: '1',
-  PYTHONUTF8: '1'
-};
-```
-
-## Progress Persistence
-
-Roadmap generation persists progress to disk for recovery:
-
-- **File**: `.auto-claude/roadmap/generation_progress.json`
-- **Debounced**: 300ms debounce (3-4 writes/sec max)
-- **Leading + Trailing**: Immediate first write, final state on completion
-- **Recovery**: Process can recover after app restart
-
-**Progress Data**:
-```json
-{
-  "phase": "analyzing",
-  "progress": 45,
-  "message": "Analyzing codebase...",
-  "started_at": "2025-02-15T10:30:00Z",
-  "last_update_at": "2025-02-15T10:35:00Z",
-  "is_running": true
-}
-```
-
-## Debug Logging
-
-All operations are logged for debugging:
-
-```typescript
-debugLog('[Agent Queue] Starting ideation generation:', { projectId, projectPath, config });
-debugLog('[Agent Queue] Generated spawn ID:', spawnId);
-debugLog('[Agent Queue] Ideation process spawned:', { spawnId, projectId, pid });
-```
-
-**Enable Debug Logs**:
-- Dev mode: Logs always visible
-- Production: Set `DEBUG=auto-claude:*` environment variable
-
-## Error Handling
-
-### Spawn Errors
-
-If process spawn fails:
-1. `onError` callback invoked
-2. Error event emitted to renderer
-3. Queue continues to next item
-
-**Example**:
-```typescript
-onError: (error) => {
-  debugError('[Agent Queue] Failed to spawn ideation process:', error);
-  this.emitter.emit('ideation-error', projectId, error.message);
-}
-```
-
-### Process Errors
-
-If process errors after spawn:
-1. `process.on('error')` handler invoked
-2. Process removed from state tracking
-3. Error event emitted to renderer
-
-### Exit Codes
-
-- **Code 0**: Success
-- **Code ≠ 0**: Failure (check for rate limits)
-
-## Testing
-
-### Manual Testing
-
-```bash
-# Start app in dev mode
-npm run dev
-
-# Trigger multiple agents simultaneously:
-# 1. Open 3 projects
-# 2. Click "Generate Ideas" on all 3 quickly
-# 3. Click "Generate Roadmap" on 2 projects
-# 4. Monitor console - should see sequential execution
-# 5. Check ~/.claude.json - should be valid JSON
-# 6. No .backup files should be created
-```
-
-### Automated Testing
-
-```bash
-# Run frontend tests
-cd apps/frontend
-npm test
-
-# Typecheck
-npm run typecheck
-
-# Lint
-npm run lint
-```
-
-## Files
-
-- **agent-queue.ts**: Main queue manager, spawns ideation/roadmap agents
-- **spawn-queue.ts**: FIFO queue for sequential spawning
-- **agent-state.ts**: Process state tracking
-- **agent-events.ts**: Event emission and progress parsing
-- **agent-process.ts**: Process lifecycle management (build agents)
-- **types.ts**: TypeScript type definitions
-
-## Related Documentation
-
-- [ARCHITECTURE.md](../../../../../../shared_docs/ARCHITECTURE.md): Overall architecture
-- [apps/frontend/CONTRIBUTING.md](../../../../../../apps/frontend/CONTRIBUTING.md): Frontend contributing guide
-- [CLAUDE.md](../../../../../../CLAUDE.md): Project instructions
-
-## Troubleshooting
-
-### Agents Not Starting
-
-**Symptom**: Click "Generate Ideas" but nothing happens
-
-**Checks**:
-1. Check Python path is configured in settings
-2. Check autoBuildSource path is set
-3. Check runner files exist (`ideation_runner.py`, `roadmap_runner.py`)
-4. Check debug logs for errors
-
-### JSON Corruption
-
-**Symptom**: `~/.claude.json` is invalid JSON
-
-**Checks**:
-1. Check if queue is being used (should be sequential)
-2. Check for concurrent spawns (shouldn't happen)
-3. Check backup files (.backup, .backup.1)
-4. Restore from backup: `cp ~/.claude.json.backup ~/.claude.json`
-
-### Rate Limiting
-
-**Symptom**: Agents fail with rate limit errors
-
-**Solution**:
-1. System automatically switches to next available profile
-2. Add more Claude profiles in settings
-3. Wait for rate limit to reset (1 minute)
-
-### Process Won't Stop
-
-**Symptom**: Click "Stop" but process keeps running
-
-**Checks**:
-1. Check process ID in debug logs
-2. Check if `wasIntentionallyStopped` flag is set
-3. Check if process is tracked in AgentState
-4. Manual kill: `kill <PID>` (macOS/Linux) or `taskkill /PID <PID>` (Windows)

apps/frontend/src/main/agent/agent-manager.ts

@@ -329,7 +329,9 @@ export class AgentManager extends EventEmitter {
     this.registerTaskWithOperationRegistry(taskId, 'spec-creation', { projectPath, taskDescription, specDir });
 
     // Note: This is spec-creation but it chains to task-execution via run.py
-    await this.processManager.spawnProcess(taskId, autoBuildSource, args, combinedEnv, 'task-execution', projectId);
+    // Use projectPath as cwd instead of autoBuildSource to avoid cross-drive file access
+    // issues on Windows. The script path is absolute so Python finds its modules via sys.path[0]. (#1661)
+    await this.processManager.spawnProcess(taskId, projectPath, args, combinedEnv, 'task-execution', projectId);
   }
 
   /**
@@ -410,7 +412,10 @@ export class AgentManager extends EventEmitter {
     // Register with unified OperationRegistry for proactive swap support
     this.registerTaskWithOperationRegistry(taskId, 'task-execution', { projectPath, specId, options });
 
-    await this.processManager.spawnProcess(taskId, autoBuildSource, args, combinedEnv, 'task-execution', projectId);
+    // Use projectPath as cwd instead of autoBuildSource to avoid cross-drive file access
+    // issues on Windows. The script path (runPath) is absolute so Python finds its modules
+    // via sys.path[0] which is set to the script's directory. (#1661)
+    await this.processManager.spawnProcess(taskId, projectPath, args, combinedEnv, 'task-execution', projectId);
   }
 
   /**
@@ -448,7 +453,8 @@ export class AgentManager extends EventEmitter {
 
     const args = [runPath, '--spec', specId, '--project-dir', projectPath, '--qa'];
 
-    await this.processManager.spawnProcess(taskId, autoBuildSource, args, combinedEnv, 'qa-process', projectId);
+    // Use projectPath as cwd instead of autoBuildSource to avoid cross-drive issues on Windows (#1661)
+    await this.processManager.spawnProcess(taskId, projectPath, args, combinedEnv, 'qa-process', projectId);
   }
 
   /**

apps/frontend/src/main/agent/agent-process.test.ts

@@ -84,7 +84,7 @@ vi.mock('../services/profile', () => ({
 }));
 
 vi.mock('../rate-limit-detector', () => ({
-  getBestAvailableProfileEnv: vi.fn(() => Promise.resolve({
+  getBestAvailableProfileEnv: vi.fn(() => ({
     env: {},
     profileId: 'default',
     profileName: 'Default',
@@ -292,7 +292,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
 
       // Set OAuth token via getProfileEnv (existing flow)
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: { CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-123' },
         profileId: 'default',
         profileName: 'Default',
@@ -327,7 +327,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
 
       // Set OAuth token
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: { CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-456' },
         profileId: 'default',
         profileName: 'Default',
@@ -354,7 +354,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
 
       // OAuth mode
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: { CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-789' },
         profileId: 'default',
         profileName: 'Default',
@@ -403,10 +403,10 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue(mockApiProfileEnv);
 
       // Mock ALL console methods to capture any debug/error output
-      const consoleLogSpy = vi.spyOn(console, 'log').mockImplementation(() => { /* noop */ });
-      const consoleErrorSpy = vi.spyOn(console, 'error').mockImplementation(() => { /* noop */ });
-      const consoleWarnSpy = vi.spyOn(console, 'warn').mockImplementation(() => { /* noop */ });
-      const consoleDebugSpy = vi.spyOn(console, 'debug').mockImplementation(() => { /* noop */ });
+      const consoleLogSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
+      const consoleErrorSpy = vi.spyOn(console, 'error').mockImplementation(() => {});
+      const consoleWarnSpy = vi.spyOn(console, 'warn').mockImplementation(() => {});
+      const consoleDebugSpy = vi.spyOn(console, 'debug').mockImplementation(() => {});
 
       await processManager.spawnProcess('task-1', '/fake/cwd', ['run.py'], {}, 'task-execution');
 
@@ -444,8 +444,8 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue(mockApiProfileEnv);
 
       // Mock console methods
-      const consoleErrorSpy = vi.spyOn(console, 'error').mockImplementation(() => { /* noop */ });
-      const consoleLogSpy = vi.spyOn(console, 'log').mockImplementation(() => { /* noop */ });
+      const consoleErrorSpy = vi.spyOn(console, 'error').mockImplementation(() => {});
+      const consoleLogSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
 
       await processManager.spawnProcess('task-1', '/fake/cwd', ['run.py'], {}, 'task-execution');
 
@@ -512,7 +512,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
         ANTHROPIC_BASE_URL: 'https://api-profile.com'
       };
 
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: profileEnv,
         profileId: 'default',
         profileName: 'Default',
@@ -817,7 +817,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
 
       // Profile provides CLAUDE_CONFIG_DIR (OAuth subscription profile)
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: {
           CLAUDE_CONFIG_DIR: '/home/user/.config/claude-profile-1',
           CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-abc'
@@ -844,7 +844,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
 
       // Profile provides CLAUDE_CONFIG_DIR
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: {
           CLAUDE_CONFIG_DIR: '/home/user/.config/claude-profile-2',
           CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-def'
@@ -875,7 +875,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue(mockApiProfileEnv);
 
       // Profile env without CLAUDE_CONFIG_DIR (API profile mode)
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: {},
         profileId: 'api-profile-1',
         profileName: 'Custom API',
@@ -901,7 +901,7 @@ describe('AgentProcessManager - API Profile Env Injection (Story 2.3)', () => {
       vi.mocked(profileService.getAPIProfileEnv).mockResolvedValue({});
 
       // Profile provides CLAUDE_CONFIG_DIR - agent should use config dir for auth
-      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockResolvedValue({
+      vi.mocked(rateLimitDetector.getBestAvailableProfileEnv).mockReturnValue({
         env: {
           CLAUDE_CONFIG_DIR: '/home/user/.config/claude-profile-3',
           CLAUDE_CODE_OAUTH_TOKEN: 'oauth-token-ghi'

apps/frontend/src/main/agent/agent-process.ts

@@ -22,10 +22,10 @@ import { pythonEnvManager, getConfiguredPythonPath } from '../python-env-manager
 import { buildMemoryEnvVars } from '../memory-env-builder';
 import { readSettingsFile } from '../settings-utils';
 import type { AppSettings } from '../../shared/types/settings';
-import { getOAuthModeClearVars } from './env-utils';
+import { getOAuthModeClearVars, normalizeEnvPathKey, mergePythonEnvPath } from './env-utils';
 import { getAugmentedEnv } from '../env-utils';
 import { getToolInfo, getClaudeCliPathForSdk } from '../cli-tool-manager';
-import { killProcessGracefully, isWindows } from '../platform';
+import { killProcessGracefully, isWindows, getPathDelimiter } from '../platform';
 import { debugLog } from '../../shared/utils/debug-logger';
 
 /**
@@ -173,11 +173,11 @@ export class AgentProcessManager {
     return env;
   }
 
-  private async setupProcessEnvironment(
+  private setupProcessEnvironment(
     extraEnv: Record<string, string>
-  ): Promise<NodeJS.ProcessEnv> {
+  ): NodeJS.ProcessEnv {
     // Get best available Claude profile environment (automatically handles rate limits)
-    const profileResult = await getBestAvailableProfileEnv();
+    const profileResult = getBestAvailableProfileEnv();
     const profileEnv = profileResult.env;
 
     debugLog('[AgentProcess:setupEnv] Profile result:', {
@@ -268,11 +268,11 @@ export class AgentProcessManager {
     return mergedEnv;
   }
 
-  private async handleProcessFailure(
+  private handleProcessFailure(
     taskId: string,
     allOutput: string,
     processType: ProcessType
-  ): Promise<boolean> {
+  ): boolean {
     console.log('[AgentProcess] Checking for rate limit in output (last 500 chars):', allOutput.slice(-500));
 
     const rateLimitDetection = detectRateLimit(allOutput);
@@ -285,7 +285,7 @@ export class AgentProcessManager {
     });
 
     if (rateLimitDetection.isRateLimited) {
-      const wasHandled = await this.handleRateLimitWithAutoSwap(
+      const wasHandled = this.handleRateLimitWithAutoSwap(
         taskId,
         rateLimitDetection,
         processType
@@ -302,11 +302,11 @@ export class AgentProcessManager {
     return this.handleAuthFailure(taskId, allOutput);
   }
 
-  private async handleRateLimitWithAutoSwap(
+  private handleRateLimitWithAutoSwap(
     taskId: string,
     rateLimitDetection: ReturnType<typeof detectRateLimit>,
     processType: ProcessType
-  ): Promise<boolean> {
+  ): boolean {
     const profileManager = getClaudeProfileManager();
     const autoSwitchSettings = profileManager.getAutoSwitchSettings();
 
@@ -322,15 +322,14 @@ export class AgentProcessManager {
     }
 
     const currentProfileId = rateLimitDetection.profileId;
-    const bestAccount = await profileManager.getBestAvailableUnifiedAccount(currentProfileId);
+    const bestProfile = profileManager.getBestAvailableProfile(currentProfileId);
 
-    console.log('[AgentProcess] Best available account:', bestAccount ? {
-      id: bestAccount.id,
-      name: bestAccount.name,
-      type: bestAccount.type
+    console.log('[AgentProcess] Best available profile:', bestProfile ? {
+      id: bestProfile.id,
+      name: bestProfile.name
     } : 'NONE');
 
-    if (!bestAccount) {
+    if (!bestProfile) {
       // Single account case: let backend handle with intelligent pause
       // Don't show manual modal - backend will pause intelligently and resume when ready
       console.log('[AgentProcess] No alternative profile - backend will handle with intelligent pause');
@@ -339,36 +338,24 @@ export class AgentProcessManager {
       return false;
     }
 
-    console.log('[AgentProcess] AUTO-SWAP: Switching from', currentProfileId, 'to', bestAccount.id, '(type:', bestAccount.type + ')');
-    if (bestAccount.type === 'oauth') {
-      profileManager.setActiveProfile(bestAccount.id);
-      // Clear API active profile so getAPIProfileEnv() returns empty (OAuth mode)
-      try {
-        const { setActiveAPIProfile } = await import('../services/profile/profile-manager');
-        await setActiveAPIProfile(null);
-      } catch (error) {
-        console.error('[AgentProcess] Failed to clear active API profile:', error);
-      }
-    } else {
-      const { setActiveAPIProfile } = await import('../services/profile/profile-manager');
-      await setActiveAPIProfile(bestAccount.id);
-    }
+    console.log('[AgentProcess] AUTO-SWAP: Switching from', currentProfileId, 'to', bestProfile.id);
+    profileManager.setActiveProfile(bestProfile.id);
 
     const source = processType === 'spec-creation' ? 'roadmap' : 'task';
     const rateLimitInfo = createSDKRateLimitInfo(source, rateLimitDetection, { taskId });
     rateLimitInfo.wasAutoSwapped = true;
-    rateLimitInfo.swappedToProfile = { id: bestAccount.id, name: bestAccount.name };
+    rateLimitInfo.swappedToProfile = { id: bestProfile.id, name: bestProfile.name };
     rateLimitInfo.swapReason = 'reactive';
 
     console.log('[AgentProcess] Emitting sdk-rate-limit event (auto-swapped):', rateLimitInfo);
     this.emitter.emit('sdk-rate-limit', rateLimitInfo);
 
     console.log('[AgentProcess] Emitting auto-swap-restart-task event for task:', taskId);
-    this.emitter.emit('auto-swap-restart-task', taskId, bestAccount.id);
+    this.emitter.emit('auto-swap-restart-task', taskId, bestProfile.id);
     return true;
   }
 
-  private async handleAuthFailure(taskId: string, allOutput: string): Promise<boolean> {
+  private handleAuthFailure(taskId: string, allOutput: string): boolean {
     console.log('[AgentProcess] No rate limit detected - checking for auth failure');
     const authFailureDetection = detectAuthFailure(allOutput);
 
@@ -380,7 +367,7 @@ export class AgentProcessManager {
     console.log('[AgentProcess] Auth failure detected:', authFailureDetection);
 
     // Try auto-swap if enabled
-    const wasHandled = await this.handleAuthFailureWithAutoSwap(taskId, authFailureDetection);
+    const wasHandled = this.handleAuthFailureWithAutoSwap(taskId, authFailureDetection);
 
     if (!wasHandled) {
       // Fall back to UI notification
@@ -398,12 +385,12 @@ export class AgentProcessManager {
   /**
    * Attempt to auto-swap to another profile on authentication failure.
    * Only works when autoSwitchOnAuthFailure is enabled and an alternative
-   * authenticated profile is available. Considers both OAuth and API profiles.
+   * authenticated profile is available.
    */
-  private async handleAuthFailureWithAutoSwap(
+  private handleAuthFailureWithAutoSwap(
     taskId: string,
     authFailureDetection: ReturnType<typeof detectAuthFailure>
-  ): Promise<boolean> {
+  ): boolean {
     const profileManager = getClaudeProfileManager();
     const autoSwitchSettings = profileManager.getAutoSwitchSettings();
 
@@ -419,42 +406,22 @@ export class AgentProcessManager {
     }
 
     const currentProfileId = authFailureDetection.profileId;
-    const bestAccount = await profileManager.getBestAvailableUnifiedAccount(currentProfileId);
+    const bestProfile = profileManager.getBestAvailableProfile(currentProfileId);
 
-    console.log('[AgentProcess] Best available account for auth failure swap:', bestAccount ? {
-      id: bestAccount.id,
-      name: bestAccount.name,
-      type: bestAccount.type
+    console.log('[AgentProcess] Best available profile for auth failure swap:', bestProfile ? {
+      id: bestProfile.id,
+      name: bestProfile.name,
+      isAuthenticated: bestProfile.isAuthenticated
     } : 'NONE');
 
-    if (!bestAccount) {
-      console.log('[AgentProcess] No alternative account available - falling back to UI');
+    // Verify the best profile is actually authenticated
+    if (!bestProfile || !bestProfile.isAuthenticated) {
+      console.log('[AgentProcess] No authenticated alternative profile - falling back to UI');
       return false;
     }
 
-    // For OAuth results, verify authentication (API profiles validated by having apiKey)
-    if (bestAccount.type === 'oauth') {
-      const oauthProfile = profileManager.getProfile(bestAccount.id);
-      if (!oauthProfile?.isAuthenticated && !profileManager.isProfileAuthenticated(oauthProfile!)) {
-        console.log('[AgentProcess] OAuth profile not authenticated - falling back to UI');
-        return false;
-      }
-    }
-
-    console.log('[AgentProcess] AUTH-FAILURE AUTO-SWAP:', currentProfileId, '->', bestAccount.id, '(type:', bestAccount.type + ')');
-    if (bestAccount.type === 'oauth') {
-      profileManager.setActiveProfile(bestAccount.id);
-      // Clear API active profile so getAPIProfileEnv() returns empty (OAuth mode)
-      try {
-        const { setActiveAPIProfile } = await import('../services/profile/profile-manager');
-        await setActiveAPIProfile(null);
-      } catch (error) {
-        console.error('[AgentProcess] Failed to clear active API profile:', error);
-      }
-    } else {
-      const { setActiveAPIProfile } = await import('../services/profile/profile-manager');
-      await setActiveAPIProfile(bestAccount.id);
-    }
+    console.log('[AgentProcess] AUTH-FAILURE AUTO-SWAP:', currentProfileId, '->', bestProfile.id);
+    profileManager.setActiveProfile(bestProfile.id);
 
     // Emit auth-failure event with swap metadata for UI notification
     this.emitter.emit('auth-failure', taskId, {
@@ -463,12 +430,12 @@ export class AgentProcessManager {
       message: authFailureDetection.message,
       originalError: authFailureDetection.originalError,
       wasAutoSwapped: true,
-      swappedToProfile: { id: bestAccount.id, name: bestAccount.name }
+      swappedToProfile: { id: bestProfile.id, name: bestProfile.name }
     });
 
     // Reuse existing restart event
     console.log('[AgentProcess] Emitting auto-swap-restart-task event for auth failure:', taskId);
-    this.emitter.emit('auto-swap-restart-task', taskId, bestAccount.id);
+    this.emitter.emit('auto-swap-restart-task', taskId, bestProfile.id);
     return true;
   }
 
@@ -619,7 +586,7 @@ export class AgentProcessManager {
 
       return envVars;
     } catch {
-            return {};
+      return {};
     }
   }
 
@@ -680,7 +647,7 @@ export class AgentProcessManager {
       spawnId
     });
 
-    const env = await this.setupProcessEnvironment(extraEnv);
+    const env = this.setupProcessEnvironment(extraEnv);
 
     // Get Python environment (PYTHONPATH for bundled packages, etc.)
     const pythonEnv = pythonEnvManager.getPythonEnv();
@@ -712,7 +679,17 @@ export class AgentProcessManager {
       },
     });
 
-    // Parse Python commandto handle space-separated commands like "py -3"
+    // Merge PATH from pythonEnv with augmented PATH from env.
+    // pythonEnv may contain its own PATH (e.g., on Windows with pywin32_system32 prepended).
+    // Simply spreading pythonEnv after env would overwrite the augmented PATH (which includes
+    // npm globals, homebrew, etc.), causing "Claude code not found" on Windows (#1661).
+    // mergePythonEnvPath() normalizes PATH key casing and prepends pythonEnv-specific paths.
+    const mergedPythonEnv = { ...pythonEnv };
+    const pathSep = getPathDelimiter();
+
+    mergePythonEnvPath(env as Record<string, string | undefined>, mergedPythonEnv as Record<string, string | undefined>, pathSep);
+
+    // Parse Python command to handle space-separated commands like "py -3"
     const [pythonCommand, pythonBaseArgs] = parsePythonCommand(this.getPythonPath());
     let childProcess;
     try {
@@ -720,7 +697,7 @@ export class AgentProcessManager {
         cwd,
         env: {
           ...env, // Already includes process.env, extraEnv, profileEnv, PYTHONUNBUFFERED, PYTHONUTF8
-          ...pythonEnv, // Include Python environment (PYTHONPATH for bundled packages)
+          ...mergedPythonEnv, // Python env with merged PATH (preserves augmented PATH entries)
           ...oauthModeClearVars, // Clear stale ANTHROPIC_* vars when in OAuth mode
           ...apiProfileEnv // Include active API profile config (highest priority for ANTHROPIC_* vars)
         }
@@ -895,7 +872,7 @@ export class AgentProcessManager {
       stderrBuffer = processBufferedOutput(stderrBuffer, data.toString('utf-8'));
     });
 
-    childProcess.on('exit', async (code: number | null) => {
+    childProcess.on('exit', (code: number | null) => {
       if (stdoutBuffer.trim()) {
         this.emitter.emit('log', taskId, stdoutBuffer + '\n', projectId);
         processLog(stdoutBuffer);
@@ -914,7 +891,7 @@ export class AgentProcessManager {
 
       if (code !== 0) {
         console.log('[AgentProcess] Process failed with code:', code, 'for task:', taskId);
-        const wasHandled = await this.handleProcessFailure(taskId, allOutput, processType);
+        const wasHandled = this.handleProcessFailure(taskId, allOutput, processType);
 
         if (wasHandled) {
           this.emitter.emit('exit', taskId, code, processType, projectId);

apps/frontend/src/main/agent/agent-queue.test.ts

@@ -1,118 +0,0 @@
-/**
- * Tests for AgentQueueManager
- */
-
-import { describe, it, expect } from 'vitest';
-import { EventEmitter } from 'events';
-import { AgentQueueManager } from './agent-queue';
-import { AgentState } from './agent-state';
-import { AgentEvents } from './agent-events';
-import { AgentProcessManager } from './agent-process';
-import { SpawnQueue } from './spawn-queue';
-
-describe('AgentQueueManager', () => {
-  it('should initialize SpawnQueue instance', () => {
-    // Create minimal dependencies for testing
-    const mockState = {} as unknown as AgentState;
-    const mockEvents = {} as unknown as AgentEvents;
-    const mockProcessManager = {
-      ensurePythonEnvReady: async () => ({ ready: true }),
-      getAutoBuildSourcePath: () => '/mock/path'
-    } as unknown as AgentProcessManager;
-    const mockEmitter = new EventEmitter();
-
-    // Instantiate AgentQueueManager
-    const manager = new AgentQueueManager(
-      mockState,
-      mockEvents,
-      mockProcessManager,
-      mockEmitter
-    );
-
-    // Access private property via type assertion
-    const spawnQueue = (manager as unknown as { spawnQueue: SpawnQueue }).spawnQueue;
-
-    // Verify spawnQueue is a SpawnQueue instance
-    expect(spawnQueue).toBeDefined();
-    expect(spawnQueue).toBeInstanceOf(SpawnQueue);
-  });
-
-  it('should initialize SpawnQueue with empty queue', () => {
-    const mockState = {} as unknown as AgentState;
-    const mockEvents = {} as unknown as AgentEvents;
-    const mockProcessManager = {
-      ensurePythonEnvReady: async () => ({ ready: true }),
-      getAutoBuildSourcePath: () => '/mock/path'
-    } as unknown as AgentProcessManager;
-    const mockEmitter = new EventEmitter();
-
-    const manager = new AgentQueueManager(
-      mockState,
-      mockEvents,
-      mockProcessManager,
-      mockEmitter
-    );
-
-    const spawnQueue = (manager as unknown as { spawnQueue: SpawnQueue }).spawnQueue;
-
-    // Verify initial queue state
-    expect(spawnQueue.length).toBe(0);
-    expect(spawnQueue.isProcessing).toBe(false);
-  });
-
-  it('should route ideation and roadmap spawns correctly', async () => {
-    const _mockState = {} as unknown as AgentState;
-    const mockEvents = {} as unknown as AgentEvents;
-    const mockProcessManager = {
-      ensurePythonEnvReady: async () => ({ ready: true }),
-      getAutoBuildSourcePath: () => '/mock/path',
-      getPythonPath: () => 'python3',
-      killProcess: () => false,
-      getCombinedEnv: () => ({}),
-      state: { addProcess: () => { /* noop */ }, deleteProcess: () => { /* noop */ } }
-    } as unknown as AgentProcessManager;
-
-    // Mock state methods
-    const mockStateWithMethods = {
-      generateSpawnId: () => 1,
-      addProcess: () => { /* noop */ },
-      wasSpawnKilled: () => false,
-      clearKilledSpawn: () => { /* noop */ },
-      getProcess: () => null,
-      deleteProcess: () => { /* noop */ }
-    } as unknown as AgentState;
-
-    const mockEmitter = new EventEmitter();
-
-    const manager = new AgentQueueManager(
-      mockStateWithMethods,
-      mockEvents,
-      mockProcessManager,
-      mockEmitter
-    );
-
-    const spawnQueue = (manager as unknown as { spawnQueue: SpawnQueue }).spawnQueue;
-
-    // Test that spawn function routes correctly
-    let processType: string | undefined;
-
-    // Mock the spawn function to capture the type
-    const _originalEnqueue = spawnQueue.enqueue.bind(spawnQueue);
-    spawnQueue.enqueue = function(request) {
-      processType = request.type;
-      return Promise.resolve(undefined);
-    };
-
-    // Access private methods via type assertion
-    const spawnIdeationProcess = (manager as unknown as { spawnIdeationProcess: (id: string, path: string, args: string[]) => Promise<void> }).spawnIdeationProcess;
-    const spawnRoadmapProcess = (manager as unknown as { spawnRoadmapProcess: (id: string, path: string, args: string[]) => Promise<void> }).spawnRoadmapProcess;
-
-    // Test ideation spawn
-    await spawnIdeationProcess.call(manager, 'project-1', '/path/to/project', ['ideation']);
-    expect(processType).toBe('ideation');
-
-    // Test roadmap spawn
-    await spawnRoadmapProcess.call(manager, 'project-2', '/path/to/project2', ['roadmap']);
-    expect(processType).toBe('roadmap');
-  });
-});

apps/frontend/src/main/agent/agent-queue.ts

@@ -1,4 +1,4 @@
-import { spawn, type ChildProcess } from 'child_process';
+import { spawn } from 'child_process';
 import path from 'path';
 import { existsSync, mkdirSync, unlinkSync, promises as fsPromises } from 'fs';
 import { EventEmitter } from 'events';
@@ -10,7 +10,7 @@ import type { IdeationConfig, Idea } from '../../shared/types';
 import { AUTO_BUILD_PATHS } from '../../shared/constants';
 import { detectRateLimit, createSDKRateLimitInfo, getBestAvailableProfileEnv } from '../rate-limit-detector';
 import { getAPIProfileEnv } from '../services/profile';
-import { getOAuthModeClearVars } from './env-utils';
+import { getOAuthModeClearVars, normalizeEnvPathKey } from './env-utils';
 import { debugLog, debugError } from '../../shared/utils/debug-logger';
 import { stripAnsiCodes } from '../../shared/utils/ansi-sanitizer';
 import { parsePythonCommand } from '../python-detector';
@@ -21,7 +21,6 @@ import type { RawIdea } from '../ipc-handlers/ideation/types';
 import { getPathDelimiter } from '../platform';
 import { debounce } from '../utils/debounce';
 import { writeFileWithRetry } from '../utils/atomic-file';
-import { SpawnQueue } from './spawn-queue';
 
 /** Maximum length for status messages displayed in progress UI */
 const STATUS_MESSAGE_MAX_LENGTH = 200;
@@ -40,29 +39,6 @@ function formatStatusMessage(log: string): string {
 
 /**
  * Queue management for ideation and roadmap generation
- *
- * **IMPORTANT: Sequential Execution**
- * All agent types (ideation, roadmap) now execute SEQUENTIALLY via SpawnQueue.
- * This prevents race conditions when multiple agents write to ~/.claude.json
- * concurrently, which was causing JSON corruption and backup file accumulation.
- *
- * **Key Behaviors:**
- * - Only ONE agent spawns at a time across all types (FIFO queue)
- * - Next agent waits for previous agent's process to exit
- * - Queue automatically continues if spawn fails (error resilience)
- * - Each agent type gets unique process tracking via queueProcessType
- *
- * **Architecture:**
- * - User calls startIdeationGeneration() or startRoadmapGeneration()
- * - Request enqueued in spawnQueue with type ('ideation' | 'roadmap')
- * - Queue routes to executeIdeationSpawn() or executeRoadmapSpawn()
- * - Process spawned, tracked in AgentState, event handlers attached
- * - Queue waits for process.exit() before processing next item
- *
- * **Process Types:**
- * - 'ideation': Idea generation (discoveries, performance, security)
- * - 'roadmap': Strategic roadmap generation with competitor analysis
- * - 'build': Build agents (managed separately, not in this queue)
  */
 export class AgentQueueManager {
   private state: AgentState;
@@ -78,7 +54,6 @@ export class AgentQueueManager {
     isRunning: boolean
   ) => void;
   private cancelPersistRoadmapProgress: () => void;
-  private spawnQueue: SpawnQueue;
 
   constructor(
     state: AgentState,
@@ -101,15 +76,6 @@ export class AgentQueueManager {
     );
     this.debouncedPersistRoadmapProgress = debouncedFn;
     this.cancelPersistRoadmapProgress = cancel;
-
-    // Initialize sequential spawn queue with routing based on process type
-    this.spawnQueue = new SpawnQueue(async (id, projectPath, args, env, projectId, cwd, type = 'ideation') => {
-      if (type === 'roadmap') {
-        return this.executeRoadmapSpawn(id, projectPath, args, env, projectId, cwd);
-      } else {
-        return this.executeIdeationSpawn(id, projectPath, args, env, projectId, cwd);
-      }
-    });
   }
 
   /**
@@ -352,109 +318,6 @@ export class AgentQueueManager {
     await this.spawnIdeationProcess(projectId, projectPath, args);
   }
 
-  /**
-   * Execute the actual spawn of an ideation process
-   * Extracted to be used by SpawnQueue for sequential execution
-   *
-   * This method only spawns the process and adds it to state tracking.
-   * Event handlers are attached by spawnIdeationProcess() via onSpawn callback.
-   *
-   * @param spawnId - Unique spawn ID for this process instance
-   * @param projectPath - Project path (not used directly but kept for signature)
-   * @param args - Command-line arguments
-   * @param env - Environment variables
-   * @param projectId - Project ID for state tracking
-   * @param cwd - Working directory for the process
-   * @returns The spawned ChildProcess
-   */
-  private async executeIdeationSpawn(
-    spawnId: string,
-    projectPath: string,
-    args: string[],
-    env: Record<string, string>,
-    projectId: string,
-    cwd: string
-  ): Promise<ChildProcess> {
-    debugLog('[Agent Queue] Executing ideation spawn:', { spawnId, projectId });
-
-    // Get Python path from process manager (uses venv if configured)
-    const pythonPath = this.processManager.getPythonPath();
-
-    // Validate Python path
-    if (!pythonPath) {
-      throw new Error('Python path not configured. Please ensure Python is properly set up in settings.');
-    }
-
-    // Parse Python command to handle space-separated commands like "py -3"
-    const [pythonCommand, pythonBaseArgs] = parsePythonCommand(pythonPath);
-
-    // Spawn the process
-    const childProcess = spawn(pythonCommand, [...pythonBaseArgs, ...args], {
-      cwd,
-      env
-    });
-
-    // Add to state tracking
-    this.state.addProcess(projectId, {
-      taskId: projectId,
-      process: childProcess,
-      startedAt: new Date(),
-      projectPath, // Store project path for loading session on completion
-      spawnId: parseInt(spawnId, 10),
-      queueProcessType: 'ideation'
-    });
-
-    debugLog('[Agent Queue] Ideation process spawned:', { spawnId, projectId, pid: childProcess.pid });
-
-    return childProcess;
-  }
-
-  /**
-   * Execute roadmap spawn - called by SpawnQueue when request reaches front of queue
-   * This method only spawns the process; all event handlers are attached in spawnRoadmapProcess's onSpawn callback
-   */
-  private async executeRoadmapSpawn(
-    spawnId: string,
-    projectPath: string,
-    args: string[],
-    env: Record<string, string>,
-    projectId: string,
-    cwd: string
-  ): Promise<ChildProcess> {
-    debugLog('[Agent Queue] Executing roadmap spawn:', { spawnId, projectId });
-
-    // Get Python path from process manager (uses venv if configured)
-    const pythonPath = this.processManager.getPythonPath();
-
-    // Validate Python path
-    if (!pythonPath) {
-      throw new Error('Python path not configured. Please ensure Python is properly set up in settings.');
-    }
-
-    // Parse Python command to handle space-separated commands like "py -3"
-    const [pythonCommand, pythonBaseArgs] = parsePythonCommand(pythonPath);
-
-    // Spawn the process
-    const childProcess = spawn(pythonCommand, [...pythonBaseArgs, ...args], {
-      cwd,
-      env
-    });
-
-    // Add to state tracking
-    this.state.addProcess(projectId, {
-      taskId: projectId,
-      process: childProcess,
-      startedAt: new Date(),
-      projectPath, // Store project path for loading roadmap on completion
-      spawnId: parseInt(spawnId, 10),
-      queueProcessType: 'roadmap'
-    });
-
-    debugLog('[Agent Queue] Roadmap process spawned:', { spawnId, projectId, pid: childProcess.pid });
-
-    return childProcess;
-  }
-
   /**
    * Spawn a Python process for ideation generation
    */
@@ -489,7 +352,7 @@ export class AgentQueueManager {
     const combinedEnv = this.processManager.getCombinedEnv(projectPath);
 
     // Get best available Claude profile environment (automatically handles rate limits)
-    const profileResult = await getBestAvailableProfileEnv();
+    const profileResult = getBestAvailableProfileEnv();
     const profileEnv = profileResult.env;
 
     // Get active API profile environment variables
@@ -499,7 +362,7 @@ export class AgentQueueManager {
     const oauthModeClearVars = getOAuthModeClearVars(apiProfileEnv);
 
     // Get Python path from process manager (uses venv if configured)
-    const _pythonPath = this.processManager.getPythonPath();
+    const pythonPath = this.processManager.getPythonPath();
 
     // Get Python environment from pythonEnvManager (includes bundled site-packages)
     const pythonEnv = pythonEnvManager.getPythonEnv();
@@ -534,6 +397,12 @@ export class AgentQueueManager {
       PYTHONUTF8: '1'
     };
 
+    // Normalize PATH key to a single uppercase 'PATH' entry.
+    // On Windows, process.env spread produces 'Path' while pythonEnv may write 'PATH',
+    // resulting in duplicate keys in the final object. Without normalization the child
+    // process inherits both keys, which can cause tool-not-found errors (#1661).
+    normalizeEnvPathKey(finalEnv as Record<string, string | undefined>);
+
     // Debug: Show OAuth token source (token values intentionally omitted for security - AC4)
     const tokenSource = profileEnv['CLAUDE_CODE_OAUTH_TOKEN']
       ? 'Electron app profile'
@@ -544,47 +413,50 @@ export class AgentQueueManager {
       hasToken
     });
 
-    // Enqueue the spawn request for sequential processing
-    // The queue will call executeIdeationSpawn() when it's this request's turn
-    this.spawnQueue.enqueue({
-      id: String(spawnId),
-      type: 'ideation',
-      projectId,
-      projectPath,
-      args,
-      env: finalEnv as Record<string, string>,
+    // Parse Python command to handle space-separated commands like "py -3"
+    const [pythonCommand, pythonBaseArgs] = parsePythonCommand(pythonPath);
+    const childProcess = spawn(pythonCommand, [...pythonBaseArgs, ...args], {
       cwd,
-      onSpawn: async (childProcess) => {
-        debugLog('[Agent Queue] Ideation process spawned from queue:', { spawnId, projectId, pid: childProcess.pid });
+      env: finalEnv
+    });
 
-        // Track progress through output
-        let progressPhase = 'analyzing';
-        let progressPercent = 10;
-        // Collect output for rate limit detection
-        let allOutput = '';
+    this.state.addProcess(projectId, {
+      taskId: projectId,
+      process: childProcess,
+      startedAt: new Date(),
+      projectPath, // Store project path for loading session on completion
+      spawnId,
+      queueProcessType: 'ideation'
+    });
 
-        // Helper to emit logs - split multi-line output into individual log lines
-        const emitLogs = (log: string) => {
-          const lines = log.split('\n').filter(line => line.trim().length > 0);
-          for (const line of lines) {
-            const trimmed = line.trim();
-            if (trimmed.length > 0) {
-              this.emitter.emit('ideation-log', projectId, trimmed);
-            }
-          }
-        };
+    // Track progress through output
+    let progressPhase = 'analyzing';
+    let progressPercent = 10;
+    // Collect output for rate limit detection
+    let allOutput = '';
 
-        // Track completed types for progress calculation
-        const completedTypes = new Set<string>();
-        // Derive totalTypes from --types argument instead of hardcoding
-        const typesArgIndex = args.indexOf('--types');
-        const totalTypes =
-          typesArgIndex > -1 && args[typesArgIndex + 1]
-            ? args[typesArgIndex + 1].split(',').length
-            : 6; // Default to 6 if not specified
+    // Helper to emit logs - split multi-line output into individual log lines
+    const emitLogs = (log: string) => {
+      const lines = log.split('\n').filter(line => line.trim().length > 0);
+      for (const line of lines) {
+        const trimmed = line.trim();
+        if (trimmed.length > 0) {
+          this.emitter.emit('ideation-log', projectId, trimmed);
+        }
+      }
+    };
 
-        // Handle stdout - explicitly decode as UTF-8 for cross-platform Unicode support
-        childProcess.stdout?.on('data', (data: Buffer) => {
+    // Track completed types for progress calculation
+    const completedTypes = new Set<string>();
+    // Derive totalTypes from --types argument instead of hardcoding
+    const typesArgIndex = args.findIndex((arg) => arg === '--types');
+    const totalTypes =
+      typesArgIndex > -1 && args[typesArgIndex + 1]
+        ? args[typesArgIndex + 1].split(',').length
+        : 6; // Default to 6 if not specified
+
+    // Handle stdout - explicitly decode as UTF-8 for cross-platform Unicode support
+    childProcess.stdout?.on('data', (data: Buffer) => {
       const log = data.toString('utf-8');
       // Collect output for rate limit detection (keep last 10KB)
       allOutput = (allOutput + log).slice(-10000);
@@ -671,126 +543,118 @@ export class AgentQueueManager {
       });
     });
 
-        // Handle stderr - also emit as logs, explicitly decode as UTF-8
-        childProcess.stderr?.on('data', (data: Buffer) => {
-          const log = data.toString('utf-8');
-          // Collect stderr for rate limit detection too
-          allOutput = (allOutput + log).slice(-10000);
-          console.error('[Ideation STDERR]', log);
-          emitLogs(log);
-          this.emitter.emit('ideation-progress', projectId, {
-            phase: progressPhase,
-            progress: progressPercent,
-            message: formatStatusMessage(log)
+    // Handle stderr - also emit as logs, explicitly decode as UTF-8
+    childProcess.stderr?.on('data', (data: Buffer) => {
+      const log = data.toString('utf-8');
+      // Collect stderr for rate limit detection too
+      allOutput = (allOutput + log).slice(-10000);
+      console.error('[Ideation STDERR]', log);
+      emitLogs(log);
+      this.emitter.emit('ideation-progress', projectId, {
+        phase: progressPhase,
+        progress: progressPercent,
+        message: formatStatusMessage(log)
+      });
+    });
+
+    // Handle process exit
+    childProcess.on('exit', (code: number | null) => {
+      debugLog('[Agent Queue] Ideation process exited:', { projectId, code, spawnId });
+
+      // Check if this process was intentionally stopped by the user
+      const wasIntentionallyStopped = this.state.wasSpawnKilled(spawnId);
+      if (wasIntentionallyStopped) {
+        debugLog('[Agent Queue] Ideation process was intentionally stopped, ignoring exit');
+        this.state.clearKilledSpawn(spawnId);
+        // Note: Don't call deleteProcess here - killProcess() already deleted it.
+        // A new process with the same projectId may have been started.
+        // Emit stopped event to ensure UI updates
+        this.emitter.emit('ideation-stopped', projectId);
+        return;
+      }
+
+      // Get the stored project path before deleting from map
+      const processInfo = this.state.getProcess(projectId);
+      const storedProjectPath = processInfo?.projectPath;
+      this.state.deleteProcess(projectId);
+
+      // Check for rate limit if process failed
+      if (code !== 0) {
+        debugLog('[Agent Queue] Checking for rate limit (non-zero exit)');
+        const rateLimitDetection = detectRateLimit(allOutput);
+        if (rateLimitDetection.isRateLimited) {
+          debugLog('[Agent Queue] Rate limit detected for ideation');
+          const rateLimitInfo = createSDKRateLimitInfo('ideation', rateLimitDetection, {
+            projectId
           });
+          this.emitter.emit('sdk-rate-limit', rateLimitInfo);
+        }
+      }
+
+      if (code === 0) {
+        debugLog('[Agent Queue] Ideation generation completed successfully');
+        this.emitter.emit('ideation-progress', projectId, {
+          phase: 'complete',
+          progress: 100,
+          message: 'Ideation generation complete'
         });
 
-        // Handle process exit
-        childProcess.on('exit', (code: number | null) => {
-          debugLog('[Agent Queue] Ideation process exited:', { projectId, code, spawnId });
-
-          // Check if this process was intentionally stopped by the user
-          const wasIntentionallyStopped = this.state.wasSpawnKilled(spawnId);
-          if (wasIntentionallyStopped) {
-            debugLog('[Agent Queue] Ideation process was intentionally stopped, ignoring exit');
-            this.state.clearKilledSpawn(spawnId);
-            // Note: Don't call deleteProcess here - killProcess() already deleted it.
-            // A new process with the same projectId may have been started.
-            // Emit stopped event to ensure UI updates
-            this.emitter.emit('ideation-stopped', projectId);
-            return;
-          }
-
-          // Get the stored project path before deleting from map
-          const processInfo = this.state.getProcess(projectId);
-          const storedProjectPath = processInfo?.projectPath;
-          this.state.deleteProcess(projectId);
-
-          // Check for rate limit if process failed
-          if (code !== 0) {
-            debugLog('[Agent Queue] Checking for rate limit (non-zero exit)');
-            const rateLimitDetection = detectRateLimit(allOutput);
-            if (rateLimitDetection.isRateLimited) {
-              debugLog('[Agent Queue] Rate limit detected for ideation');
-              const rateLimitInfo = createSDKRateLimitInfo('ideation', rateLimitDetection, {
-                projectId
-              });
-              this.emitter.emit('sdk-rate-limit', rateLimitInfo);
-            }
-          }
-
-          if (code === 0) {
-            debugLog('[Agent Queue] Ideation generation completed successfully');
-            this.emitter.emit('ideation-progress', projectId, {
-              phase: 'complete',
-              progress: 100,
-              message: 'Ideation generation complete'
-            });
-
-            // Load and emit the complete ideation session
-            if (storedProjectPath) {
-              try {
-                const ideationFilePath = path.join(
-                  storedProjectPath,
-                  '.auto-claude',
-                  'ideation',
-                  'ideation.json'
-                );
-                debugLog('[Agent Queue] Loading ideation session from:', ideationFilePath);
-                if (existsSync(ideationFilePath)) {
-                  const loadSession = async (): Promise<void> => {
-                    try {
-                      const content = await fsPromises.readFile(ideationFilePath, 'utf-8');
-                      const rawSession = JSON.parse(content);
-                      const session = transformSessionFromSnakeCase(rawSession, projectId);
-                      debugLog('[Agent Queue] Loaded ideation session:', {
-                        totalIdeas: session.ideas?.length || 0
-                      });
-                      this.emitter.emit('ideation-complete', projectId, session);
-                    } catch (err) {
-                      debugError('[Ideation] Failed to load ideation session:', err);
-                      this.emitter.emit('ideation-error', projectId,
-                        `Failed to load ideation session: ${err instanceof Error ? err.message : 'Unknown error'}`);
-                    }
-                  };
-                  loadSession().catch((err: unknown) => {
-                    debugError('[Agent Queue] Unhandled error loading ideation session:', err);
+        // Load and emit the complete ideation session
+        if (storedProjectPath) {
+          try {
+            const ideationFilePath = path.join(
+              storedProjectPath,
+              '.auto-claude',
+              'ideation',
+              'ideation.json'
+            );
+            debugLog('[Agent Queue] Loading ideation session from:', ideationFilePath);
+            if (existsSync(ideationFilePath)) {
+              const loadSession = async (): Promise<void> => {
+                try {
+                  const content = await fsPromises.readFile(ideationFilePath, 'utf-8');
+                  const rawSession = JSON.parse(content);
+                  const session = transformSessionFromSnakeCase(rawSession, projectId);
+                  debugLog('[Agent Queue] Loaded ideation session:', {
+                    totalIdeas: session.ideas?.length || 0
                   });
-                } else {
-                  debugError('[Ideation] ideation.json not found at:', ideationFilePath);
+                  this.emitter.emit('ideation-complete', projectId, session);
+                } catch (err) {
+                  debugError('[Ideation] Failed to load ideation session:', err);
                   this.emitter.emit('ideation-error', projectId,
-                    'Ideation completed but session file not found. Ideas may have been saved to individual type files.');
+                    `Failed to load ideation session: ${err instanceof Error ? err.message : 'Unknown error'}`);
                 }
-              } catch (err) {
-                debugError('[Ideation] Unexpected error in ideation completion:', err);
-                this.emitter.emit('ideation-error', projectId,
-                  `Failed to load ideation session: ${err instanceof Error ? err.message : 'Unknown error'}`);
-              }
+              };
+              loadSession().catch((err: unknown) => {
+                debugError('[Agent Queue] Unhandled error loading ideation session:', err);
+              });
             } else {
-              debugError('[Ideation] No project path available to load session');
+              debugError('[Ideation] ideation.json not found at:', ideationFilePath);
               this.emitter.emit('ideation-error', projectId,
-                'Ideation completed but project path unavailable');
+                'Ideation completed but session file not found. Ideas may have been saved to individual type files.');
             }
-          } else {
-            debugError('[Agent Queue] Ideation generation failed:', { projectId, code });
-            this.emitter.emit('ideation-error', projectId, `Ideation generation failed with exit code ${code}`);
+          } catch (err) {
+            debugError('[Ideation] Unexpected error in ideation completion:', err);
+            this.emitter.emit('ideation-error', projectId,
+              `Failed to load ideation session: ${err instanceof Error ? err.message : 'Unknown error'}`);
           }
-        });
-
-        // Handle process error
-        childProcess.on('error', (err: Error) => {
-          console.error('[Ideation] Process error:', err.message);
-          this.state.deleteProcess(projectId);
-          this.emitter.emit('ideation-error', projectId, err.message);
-        });
-      },
-      onError: (error: Error) => {
-        debugError('[Agent Queue] Failed to spawn ideation process:', error);
-        this.emitter.emit('ideation-error', projectId, error.message);
+        } else {
+          debugError('[Ideation] No project path available to load session');
+          this.emitter.emit('ideation-error', projectId,
+            'Ideation completed but project path unavailable');
+        }
+      } else {
+        debugError('[Agent Queue] Ideation generation failed:', { projectId, code });
+        this.emitter.emit('ideation-error', projectId, `Ideation generation failed with exit code ${code}`);
       }
     });
 
-    debugLog('[Agent Queue] Ideation spawn request enqueued:', { spawnId, projectId });
+    // Handle process error
+    childProcess.on('error', (err: Error) => {
+      console.error('[Ideation] Process error:', err.message);
+      this.state.deleteProcess(projectId);
+      this.emitter.emit('ideation-error', projectId, err.message);
+    });
   }
 
   /**
@@ -827,7 +691,7 @@ export class AgentQueueManager {
     const combinedEnv = this.processManager.getCombinedEnv(projectPath);
 
     // Get best available Claude profile environment (automatically handles rate limits)
-    const profileResult = await getBestAvailableProfileEnv();
+    const profileResult = getBestAvailableProfileEnv();
     const profileEnv = profileResult.env;
 
     // Get active API profile environment variables
@@ -837,7 +701,7 @@ export class AgentQueueManager {
     const oauthModeClearVars = getOAuthModeClearVars(apiProfileEnv);
 
     // Get Python path from process manager (uses venv if configured)
-    const _pythonPath = this.processManager.getPythonPath();
+    const pythonPath = this.processManager.getPythonPath();
 
     // Get Python environment from pythonEnvManager (includes bundled site-packages)
     const pythonEnv = pythonEnvManager.getPythonEnv();
@@ -872,6 +736,12 @@ export class AgentQueueManager {
       PYTHONUTF8: '1'
     };
 
+    // Normalize PATH key to a single uppercase 'PATH' entry.
+    // On Windows, process.env spread produces 'Path' while pythonEnv may write 'PATH',
+    // resulting in duplicate keys in the final object. Without normalization the child
+    // process inherits both keys, which can cause tool-not-found errors (#1661).
+    normalizeEnvPathKey(finalEnv as Record<string, string | undefined>);
+
     // Debug: Show OAuth token source (token values intentionally omitted for security - AC4)
     const tokenSource = profileEnv['CLAUDE_CODE_OAUTH_TOKEN']
       ? 'Electron app profile'
@@ -882,223 +752,218 @@ export class AgentQueueManager {
       hasToken
     });
 
-    // Enqueue the spawn request for sequential processing
-    // The queue will call executeRoadmapSpawn() when it's this request's turn
-    this.spawnQueue.enqueue({
-      id: String(spawnId),
-      type: 'roadmap',
-      projectId,
-      projectPath,
-      args,
-      env: finalEnv as Record<string, string>,
+    // Parse Python command to handle space-separated commands like "py -3"
+    const [pythonCommand, pythonBaseArgs] = parsePythonCommand(pythonPath);
+    const childProcess = spawn(pythonCommand, [...pythonBaseArgs, ...args], {
       cwd,
-      onSpawn: async (childProcess) => {
-        debugLog('[Agent Queue] Roadmap process spawned from queue:', { spawnId, projectId, pid: childProcess.pid });
+      env: finalEnv
+    });
 
-        // Track progress through output
-        let progressPhase = 'analyzing';
-        let progressPercent = 10;
-        // Collect output for rate limit detection
-        let allRoadmapOutput = '';
-        // Track startedAt timestamp for progress persistence
-        const roadmapStartedAt = new Date().toISOString();
+    this.state.addProcess(projectId, {
+      taskId: projectId,
+      process: childProcess,
+      startedAt: new Date(),
+      projectPath, // Store project path for loading roadmap on completion
+      spawnId,
+      queueProcessType: 'roadmap'
+    });
 
-        // Persist initial progress state (debounced - will execute immediately due to leading: true)
-        this.debouncedPersistRoadmapProgress(
-          projectPath,
-          progressPhase,
-          progressPercent,
-          'Starting roadmap generation...',
-          roadmapStartedAt,
-          true
-        );
+    // Track progress through output
+    let progressPhase = 'analyzing';
+    let progressPercent = 10;
+    // Collect output for rate limit detection
+    let allRoadmapOutput = '';
+    // Track startedAt timestamp for progress persistence
+    const roadmapStartedAt = new Date().toISOString();
 
-        // Helper to emit logs - split multi-line output into individual log lines
-        const emitLogs = (log: string) => {
-          const lines = log.split('\n').filter(line => line.trim().length > 0);
-          for (const line of lines) {
-            const trimmed = line.trim();
-            if (trimmed.length > 0) {
-              this.emitter.emit('roadmap-log', projectId, trimmed);
-            }
-          }
-        };
+    // Persist initial progress state (debounced - will execute immediately due to leading: true)
+    this.debouncedPersistRoadmapProgress(
+      projectPath,
+      progressPhase,
+      progressPercent,
+      'Starting roadmap generation...',
+      roadmapStartedAt,
+      true
+    );
 
-        // Handle stdout - explicitly decode as UTF-8 for cross-platform Unicode support
-        childProcess.stdout?.on('data', (data: Buffer) => {
-          const log = data.toString('utf-8');
-          // Collect output for rate limit detection (keep last 10KB)
-          allRoadmapOutput = (allRoadmapOutput + log).slice(-10000);
+    // Helper to emit logs - split multi-line output into individual log lines
+    const emitLogs = (log: string) => {
+      const lines = log.split('\n').filter(line => line.trim().length > 0);
+      for (const line of lines) {
+        const trimmed = line.trim();
+        if (trimmed.length > 0) {
+          this.emitter.emit('roadmap-log', projectId, trimmed);
+        }
+      }
+    };
 
-          // Emit all log lines for debugging
-          emitLogs(log);
+    // Handle stdout - explicitly decode as UTF-8 for cross-platform Unicode support
+    childProcess.stdout?.on('data', (data: Buffer) => {
+      const log = data.toString('utf-8');
+      // Collect output for rate limit detection (keep last 10KB)
+      allRoadmapOutput = (allRoadmapOutput + log).slice(-10000);
 
-          // Parse progress using AgentEvents
-          const progressUpdate = this.events.parseRoadmapProgress(log, progressPhase, progressPercent);
-          progressPhase = progressUpdate.phase;
-          progressPercent = progressUpdate.progress;
+      // Emit all log lines for debugging
+      emitLogs(log);
 
-          // Get status message for display
-          const statusMessage = formatStatusMessage(log);
+      // Parse progress using AgentEvents
+      const progressUpdate = this.events.parseRoadmapProgress(log, progressPhase, progressPercent);
+      progressPhase = progressUpdate.phase;
+      progressPercent = progressUpdate.progress;
 
-          // Persist progress to disk for recovery after restart (debounced to limit writes)
-          this.debouncedPersistRoadmapProgress(
-            projectPath,
-            progressPhase,
-            progressPercent,
-            statusMessage,
-            roadmapStartedAt,
-            true
-          );
+      // Get status message for display
+      const statusMessage = formatStatusMessage(log);
 
-          // Emit progress update
-          this.emitter.emit('roadmap-progress', projectId, {
-            phase: progressPhase,
-            progress: progressPercent,
-            message: statusMessage
+      // Persist progress to disk for recovery after restart (debounced to limit writes)
+      this.debouncedPersistRoadmapProgress(
+        projectPath,
+        progressPhase,
+        progressPercent,
+        statusMessage,
+        roadmapStartedAt,
+        true
+      );
+
+      // Emit progress update
+      this.emitter.emit('roadmap-progress', projectId, {
+        phase: progressPhase,
+        progress: progressPercent,
+        message: statusMessage
+      });
+    });
+
+    // Handle stderr - explicitly decode as UTF-8
+    childProcess.stderr?.on('data', (data: Buffer) => {
+      const log = data.toString('utf-8');
+      // Collect stderr for rate limit detection too
+      allRoadmapOutput = (allRoadmapOutput + log).slice(-10000);
+      console.error('[Roadmap STDERR]', log);
+      emitLogs(log);
+
+      const statusMessage = formatStatusMessage(log);
+
+      // Persist progress to disk (debounced - also on stderr to show activity)
+      this.debouncedPersistRoadmapProgress(
+        projectPath,
+        progressPhase,
+        progressPercent,
+        statusMessage,
+        roadmapStartedAt,
+        true
+      );
+
+      this.emitter.emit('roadmap-progress', projectId, {
+        phase: progressPhase,
+        progress: progressPercent,
+        message: statusMessage
+      });
+    });
+
+    // Handle process exit
+    childProcess.on('exit', (code: number | null) => {
+      debugLog('[Agent Queue] Roadmap process exited:', { projectId, code, spawnId });
+
+      // Check if this process was intentionally stopped by the user
+      const wasIntentionallyStopped = this.state.wasSpawnKilled(spawnId);
+      if (wasIntentionallyStopped) {
+        debugLog('[Agent Queue] Roadmap process was intentionally stopped, ignoring exit');
+        this.state.clearKilledSpawn(spawnId);
+        // Clear progress file on intentional stop
+        this.clearRoadmapProgress(projectPath);
+        // Note: Don't call deleteProcess here - killProcess() already deleted it.
+        // A new process with the same projectId may have been started.
+        return;
+      }
+
+      // Get the stored project path before deleting from map
+      const processInfo = this.state.getProcess(projectId);
+      const storedProjectPath = processInfo?.projectPath;
+      this.state.deleteProcess(projectId);
+
+      // Check for rate limit if process failed
+      if (code !== 0) {
+        debugLog('[Agent Queue] Checking for rate limit (non-zero exit)');
+        const rateLimitDetection = detectRateLimit(allRoadmapOutput);
+        if (rateLimitDetection.isRateLimited) {
+          debugLog('[Agent Queue] Rate limit detected for roadmap');
+          const rateLimitInfo = createSDKRateLimitInfo('roadmap', rateLimitDetection, {
+            projectId
           });
+          this.emitter.emit('sdk-rate-limit', rateLimitInfo);
+        }
+      }
+
+      if (code === 0) {
+        debugLog('[Agent Queue] Roadmap generation completed successfully');
+        this.emitter.emit('roadmap-progress', projectId, {
+          phase: 'complete',
+          progress: 100,
+          message: 'Roadmap generation complete'
         });
 
-        // Handle stderr - explicitly decode as UTF-8
-        childProcess.stderr?.on('data', (data: Buffer) => {
-          const log = data.toString('utf-8');
-          // Collect stderr for rate limit detection too
-          allRoadmapOutput = (allRoadmapOutput + log).slice(-10000);
-          console.error('[Roadmap STDERR]', log);
-          emitLogs(log);
+        // Clear progress file on successful completion
+        this.clearRoadmapProgress(projectPath);
 
-          const statusMessage = formatStatusMessage(log);
-
-          // Persist progress to disk (debounced - also on stderr to show activity)
-          this.debouncedPersistRoadmapProgress(
-            projectPath,
-            progressPhase,
-            progressPercent,
-            statusMessage,
-            roadmapStartedAt,
-            true
-          );
-
-          this.emitter.emit('roadmap-progress', projectId, {
-            phase: progressPhase,
-            progress: progressPercent,
-            message: statusMessage
-          });
-        });
-
-        // Handle process exit
-        childProcess.on('exit', (code: number | null) => {
-          debugLog('[Agent Queue] Roadmap process exited:', { projectId, code, spawnId });
-
-          // Check if this process was intentionally stopped by the user
-          const wasIntentionallyStopped = this.state.wasSpawnKilled(spawnId);
-          if (wasIntentionallyStopped) {
-            debugLog('[Agent Queue] Roadmap process was intentionally stopped, ignoring exit');
-            this.state.clearKilledSpawn(spawnId);
-            // Clear progress file on intentional stop
-            this.clearRoadmapProgress(projectPath);
-            // Note: Don't call deleteProcess here - killProcess() already deleted it.
-            // A new process with the same projectId may have been started.
-            return;
-          }
-
-          // Get the stored project path before deleting from map
-          const processInfo = this.state.getProcess(projectId);
-          const storedProjectPath = processInfo?.projectPath;
-          this.state.deleteProcess(projectId);
-
-          // Check for rate limit if process failed
-          if (code !== 0) {
-            debugLog('[Agent Queue] Checking for rate limit (non-zero exit)');
-            const rateLimitDetection = detectRateLimit(allRoadmapOutput);
-            if (rateLimitDetection.isRateLimited) {
-              debugLog('[Agent Queue] Rate limit detected for roadmap');
-              const rateLimitInfo = createSDKRateLimitInfo('roadmap', rateLimitDetection, {
-                projectId
-              });
-              this.emitter.emit('sdk-rate-limit', rateLimitInfo);
-            }
-          }
-
-          if (code === 0) {
-            debugLog('[Agent Queue] Roadmap generation completed successfully');
-            this.emitter.emit('roadmap-progress', projectId, {
-              phase: 'complete',
-              progress: 100,
-              message: 'Roadmap generation complete'
-            });
-
-            // Clear progress file on successful completion
-            this.clearRoadmapProgress(projectPath);
-
-            // Load and emit the complete roadmap
-            if (storedProjectPath) {
-              try {
-                const roadmapFilePath = path.join(
-                  storedProjectPath,
-                  '.auto-claude',
-                  'roadmap',
-                  'roadmap.json'
-                );
-                debugLog('[Agent Queue] Loading roadmap from:', roadmapFilePath);
-                if (existsSync(roadmapFilePath)) {
-                  const loadRoadmap = async (): Promise<void> => {
-                    try {
-                      const content = await fsPromises.readFile(roadmapFilePath, 'utf-8');
-                      const rawRoadmap = JSON.parse(content);
-                      const transformedRoadmap = transformRoadmapFromSnakeCase(rawRoadmap, projectId);
-                      debugLog('[Agent Queue] Loaded roadmap:', {
-                        featuresCount: transformedRoadmap.features?.length || 0,
-                        phasesCount: transformedRoadmap.phases?.length || 0
-                      });
-                      this.emitter.emit('roadmap-complete', projectId, transformedRoadmap);
-                    } catch (err) {
-                      debugError('[Roadmap] Failed to load roadmap:', err);
-                      this.emitter.emit('roadmap-error', projectId,
-                        `Failed to load roadmap: ${err instanceof Error ? err.message : 'Unknown error'}`);
-                    }
-                  };
-                  loadRoadmap().catch((err: unknown) => {
-                    debugError('[Agent Queue] Unhandled error loading roadmap:', err);
+        // Load and emit the complete roadmap
+        if (storedProjectPath) {
+          try {
+            const roadmapFilePath = path.join(
+              storedProjectPath,
+              '.auto-claude',
+              'roadmap',
+              'roadmap.json'
+            );
+            debugLog('[Agent Queue] Loading roadmap from:', roadmapFilePath);
+            if (existsSync(roadmapFilePath)) {
+              const loadRoadmap = async (): Promise<void> => {
+                try {
+                  const content = await fsPromises.readFile(roadmapFilePath, 'utf-8');
+                  const rawRoadmap = JSON.parse(content);
+                  const transformedRoadmap = transformRoadmapFromSnakeCase(rawRoadmap, projectId);
+                  debugLog('[Agent Queue] Loaded roadmap:', {
+                    featuresCount: transformedRoadmap.features?.length || 0,
+                    phasesCount: transformedRoadmap.phases?.length || 0
                   });
-                } else {
-                  debugError('[Roadmap] roadmap.json not found at:', roadmapFilePath);
+                  this.emitter.emit('roadmap-complete', projectId, transformedRoadmap);
+                } catch (err) {
+                  debugError('[Roadmap] Failed to load roadmap:', err);
                   this.emitter.emit('roadmap-error', projectId,
-                    'Roadmap completed but file not found.');
+                    `Failed to load roadmap: ${err instanceof Error ? err.message : 'Unknown error'}`);
                 }
-              } catch (err) {
-                debugError('[Roadmap] Unexpected error in roadmap completion:', err);
-                this.emitter.emit('roadmap-error', projectId,
-                  `Unexpected error: ${err instanceof Error ? err.message : 'Unknown error'}`);
-              }
+              };
+              loadRoadmap().catch((err: unknown) => {
+                debugError('[Agent Queue] Unhandled error loading roadmap:', err);
+              });
             } else {
-              debugError('[Roadmap] No project path available for roadmap completion');
-              this.emitter.emit('roadmap-error', projectId, 'Roadmap completed but project path not found.');
+              debugError('[Roadmap] roadmap.json not found at:', roadmapFilePath);
+              this.emitter.emit('roadmap-error', projectId,
+                'Roadmap completed but file not found.');
             }
-          } else {
-            debugError('[Agent Queue] Roadmap generation failed:', { projectId, code });
-            // Clear progress file on error
-            this.clearRoadmapProgress(projectPath);
-            this.emitter.emit('roadmap-error', projectId, `Roadmap generation failed with exit code ${code}`);
+          } catch (err) {
+            debugError('[Roadmap] Unexpected error in roadmap completion:', err);
+            this.emitter.emit('roadmap-error', projectId,
+              `Unexpected error: ${err instanceof Error ? err.message : 'Unknown error'}`);
           }
-        });
-
-        // Handle process error
-        childProcess.on('error', (err: Error) => {
-          console.error('[Roadmap] Process error:', err.message);
-          this.state.deleteProcess(projectId);
-          // Clear progress file on process error
-          this.clearRoadmapProgress(projectPath);
-          this.emitter.emit('roadmap-error', projectId, err.message);
-        });
-      },
-      onError: (error: Error) => {
-        debugError('[Agent Queue] Failed to spawn roadmap process:', error);
-        this.emitter.emit('roadmap-error', projectId, error.message);
+        } else {
+          debugError('[Roadmap] No project path available for roadmap completion');
+          this.emitter.emit('roadmap-error', projectId, 'Roadmap completed but project path not found.');
+        }
+      } else {
+        debugError('[Agent Queue] Roadmap generation failed:', { projectId, code });
+        // Clear progress file on error
+        this.clearRoadmapProgress(projectPath);
+        this.emitter.emit('roadmap-error', projectId, `Roadmap generation failed with exit code ${code}`);
       }
     });
 
-    debugLog('[Agent Queue] Roadmap spawn request enqueued:', { spawnId, projectId });
+    // Handle process error
+    childProcess.on('error', (err: Error) => {
+      console.error('[Roadmap] Process error:', err.message);
+      this.state.deleteProcess(projectId);
+      // Clear progress file on process error
+      this.clearRoadmapProgress(projectPath);
+      this.emitter.emit('roadmap-error', projectId, err.message);
+    });
   }
 
   /**

apps/frontend/src/main/agent/env-utils.test.ts

@@ -4,7 +4,7 @@
  */
 
 import { describe, it, expect } from 'vitest';
-import { getOAuthModeClearVars } from './env-utils';
+import { getOAuthModeClearVars, normalizeEnvPathKey, mergePythonEnvPath } from './env-utils';
 
 describe('getOAuthModeClearVars', () => {
   describe('OAuth mode (no active API profile)', () => {
@@ -132,3 +132,166 @@ describe('getOAuthModeClearVars', () => {
     });
   });
 });
+
+describe('normalizeEnvPathKey', () => {
+  it('should leave an already-uppercase PATH key untouched', () => {
+    const env: Record<string, string | undefined> = { PATH: '/usr/bin:/bin', HOME: '/home/user' };
+    normalizeEnvPathKey(env);
+    expect(env).toEqual({ PATH: '/usr/bin:/bin', HOME: '/home/user' });
+  });
+
+  it('should rename a lowercase-variant "Path" key to "PATH"', () => {
+    const env: Record<string, string | undefined> = { Path: 'C:\\Windows\\system32', HOME: '/home/user' };
+    normalizeEnvPathKey(env);
+    expect(env['PATH']).toBe('C:\\Windows\\system32');
+    expect('Path' in env).toBe(false);
+  });
+
+  it('should prefer existing "PATH" and remove "Path" when both keys coexist', () => {
+    // Simulates process.env spread ('Path') after getAugmentedEnv writes ('PATH')
+    const env: Record<string, string | undefined> = {
+      Path: 'C:\\old',
+      PATH: 'C:\\Windows\\system32;C:\\augmented',
+      HOME: '/home/user'
+    };
+    normalizeEnvPathKey(env);
+    expect(env.PATH).toBe('C:\\Windows\\system32;C:\\augmented');
+    expect('Path' in env).toBe(false);
+  });
+
+  it('should remove all case-variant PATH duplicates when PATH is already present', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: '/correct',
+      Path: '/old1',
+      path: '/old2'
+    };
+    normalizeEnvPathKey(env);
+    expect(env.PATH).toBe('/correct');
+    expect('Path' in env).toBe(false);
+    expect('path' in env).toBe(false);
+  });
+
+  it('should handle env with no PATH-like key gracefully', () => {
+    const env: Record<string, string | undefined> = { HOME: '/home/user', SHELL: '/bin/zsh' };
+    normalizeEnvPathKey(env);
+    expect(env).toEqual({ HOME: '/home/user', SHELL: '/bin/zsh' });
+  });
+
+  it('should return the same env object reference (mutates in place)', () => {
+    const env: Record<string, string | undefined> = { PATH: '/usr/bin' };
+    const result = normalizeEnvPathKey(env);
+    expect(result).toBe(env);
+  });
+});
+
+describe('mergePythonEnvPath - Windows PATH merge logic (#1661)', () => {
+  const SEP = ';'; // Use Windows separator for these tests
+
+  it('should prepend pythonEnv-only entries to the augmented PATH', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PATH: 'C:\\pywin32_system32;C:\\npm;C:\\homebrew'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    // pywin32_system32 is unique to pythonEnv, so it should be prepended
+    expect(mergedPythonEnv.PATH).toBe('C:\\pywin32_system32;C:\\npm;C:\\homebrew');
+  });
+
+  it('should deduplicate entries that already exist in augmented PATH', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew;C:\\pywin32_system32'
+    };
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PATH: 'C:\\pywin32_system32;C:\\npm'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    // All pythonEnv entries are already in env.PATH, so mergedPythonEnv.PATH should equal env.PATH
+    expect(mergedPythonEnv.PATH).toBe('C:\\npm;C:\\homebrew;C:\\pywin32_system32');
+  });
+
+  it('should normalize Windows-style "Path" key in pythonEnv to "PATH"', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+    // pythonEnv uses 'Path' (Windows native casing)
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      Path: 'C:\\pywin32_system32;C:\\npm'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    // 'Path' should be normalized to 'PATH' and pythonEnv-specific entry prepended
+    expect('Path' in mergedPythonEnv).toBe(false);
+    expect(mergedPythonEnv.PATH).toBe('C:\\pywin32_system32;C:\\npm;C:\\homebrew');
+  });
+
+  it('should normalize Windows-style "Path" in env and deduplicate duplicates', () => {
+    // Simulates process.env spread ('Path') + getAugmentedEnv write ('PATH') leaving both
+    const env: Record<string, string | undefined> = {
+      Path: 'C:\\old',
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PATH: 'C:\\pywin32_system32;C:\\npm'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    // env 'Path' should be removed; augmented 'PATH' value preserved
+    expect('Path' in env).toBe(false);
+    expect(env.PATH).toBe('C:\\npm;C:\\homebrew');
+    // Only the unique pywin32_system32 entry prepended
+    expect(mergedPythonEnv.PATH).toBe('C:\\pywin32_system32;C:\\npm;C:\\homebrew');
+  });
+
+  it('should use env.PATH unchanged when pythonEnv has no unique entries', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    expect(mergedPythonEnv.PATH).toBe('C:\\npm;C:\\homebrew');
+  });
+
+  it('should work correctly with Unix colon separator', () => {
+    const unixSep = ':';
+    const env: Record<string, string | undefined> = {
+      PATH: '/usr/bin:/bin'
+    };
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PATH: '/opt/pyenv/shims:/usr/bin:/bin'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, unixSep);
+
+    // /opt/pyenv/shims is unique and should be prepended
+    expect(mergedPythonEnv.PATH).toBe('/opt/pyenv/shims:/usr/bin:/bin');
+  });
+
+  it('should handle missing PATH in pythonEnv gracefully (no-op)', () => {
+    const env: Record<string, string | undefined> = {
+      PATH: 'C:\\npm;C:\\homebrew'
+    };
+    // pythonEnv has no PATH at all
+    const mergedPythonEnv: Record<string, string | undefined> = {
+      PYTHONPATH: '/site-packages'
+    };
+
+    mergePythonEnvPath(env, mergedPythonEnv, SEP);
+
+    // Nothing should change
+    expect(mergedPythonEnv.PATH).toBeUndefined();
+    expect(mergedPythonEnv.PYTHONPATH).toBe('/site-packages');
+    expect(env.PATH).toBe('C:\\npm;C:\\homebrew');
+  });
+});

apps/frontend/src/main/agent/env-utils.ts

@@ -2,6 +2,88 @@
  * Utility functions for managing environment variables in agent spawning
  */
 
+/**
+ * Normalize the PATH key in an environment object to a single uppercase 'PATH' key.
+ *
+ * On Windows, process.env spreads as 'Path' (the native casing) while getAugmentedEnv()
+ * writes 'PATH'. Without normalization, both keys coexist in the object and the child
+ * process receives duplicate PATH entries, causing tool-not-found errors like #1661.
+ *
+ * Mutates the provided env object in place and returns it for convenience.
+ *
+ * @param env - Mutable environment record to normalize
+ * @returns The same env object with PATH normalized to uppercase
+ */
+export function normalizeEnvPathKey(env: Record<string, string | undefined>): Record<string, string | undefined> {
+  // If 'PATH' already exists, delete all other case-variant keys (e.g. 'Path')
+  if ('PATH' in env) {
+    for (const key of Object.keys(env)) {
+      if (key !== 'PATH' && key.toUpperCase() === 'PATH') {
+        delete env[key];
+      }
+    }
+    return env;
+  }
+
+  // No uppercase 'PATH' key - find the first case-variant and rename it
+  const pathKey = Object.keys(env).find(k => k.toUpperCase() === 'PATH');
+  if (pathKey) {
+    env['PATH'] = env[pathKey];
+    delete env[pathKey];
+    // Remove any remaining case-variant keys
+    for (const key of Object.keys(env)) {
+      if (key !== 'PATH' && key.toUpperCase() === 'PATH') {
+        delete env[key];
+      }
+    }
+  }
+
+  return env;
+}
+
+/**
+ * Merge pythonEnv PATH entries with the augmented PATH in env, deduplicating entries.
+ *
+ * pythonEnv may carry its own PATH (e.g. pywin32_system32 prepended on Windows).
+ * Simply spreading pythonEnv after env would overwrite the augmented PATH (which
+ * includes npm globals, Homebrew, etc.), causing "Claude code not found" (#1661).
+ *
+ * Strategy:
+ *  1. Normalize PATH key casing in both env and pythonEnv to uppercase 'PATH'.
+ *  2. Extract only pythonEnv PATH entries that are not already in env.PATH.
+ *  3. Prepend those unique entries to env.PATH and store the result in pythonEnv.PATH.
+ *
+ * Mutates mergedPythonEnv in place (caller should pass a shallow copy if immutability is needed).
+ *
+ * @param env - The base environment (already augmented with tool paths)
+ * @param mergedPythonEnv - Shallow copy of pythonEnv to merge PATH into
+ * @param pathSep - Platform path separator (';' on Windows, ':' elsewhere)
+ */
+export function mergePythonEnvPath(
+  env: Record<string, string | undefined>,
+  mergedPythonEnv: Record<string, string | undefined>,
+  pathSep: string
+): void {
+  // Normalize PATH key to uppercase in both objects
+  normalizeEnvPathKey(env);
+  normalizeEnvPathKey(mergedPythonEnv);
+
+  if (mergedPythonEnv['PATH'] && env['PATH']) {
+    const augmentedPathEntries = new Set(
+      (env['PATH'] as string).split(pathSep).filter(Boolean)
+    );
+    // Extract only new entries from pythonEnv.PATH that aren't already in the augmented PATH
+    const pythonPathEntries = (mergedPythonEnv['PATH'] as string)
+      .split(pathSep)
+      .filter(entry => entry && !augmentedPathEntries.has(entry));
+
+    // Prepend python-specific paths (e.g., pywin32_system32) to the augmented PATH
+    mergedPythonEnv['PATH'] = pythonPathEntries.length > 0
+      ? [...pythonPathEntries, env['PATH'] as string].join(pathSep)
+      : env['PATH'] as string;
+  }
+}
+
 /**
  * Get environment variables to clear ANTHROPIC_* vars when in OAuth mode
  *

apps/frontend/src/main/agent/integration.test.ts

@@ -1,386 +0,0 @@
-/**
- * Integration Stress Test for Sequential Agent Spawning
- *
- * Verifies that SpawnQueue prevents ~/.claude.json file corruption under concurrent load.
- * Tests rapid spawning of multiple agents and verifies sequential execution.
- *
- * Key scenarios:
- * - Stress test: 10 agents spawned rapidly
- * - Sequential verification: agents don't overlap
- * - Queue state consistency during high load
- */
-
-import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest';
-import { SpawnQueue, type SpawnFunction } from './spawn-queue';
-import type { ChildProcess } from 'child_process';
-import type { Readable, Writable } from 'stream';
-
-describe('Sequential Agent Spawning - Integration Stress Test', () => {
-  let queue: SpawnQueue;
-  let mockSpawnFn: SpawnFunction;
-  let concurrentProcesses: Map<string, { start: number; end: number }>;
-
-  /**
-   * Create a mock child process that exits after a delay
-   * Tracks start/end times for overlap detection
-   */
-  const createMockProcess = (
-    id: string,
-    exitDelay: number = 10
-  ): ChildProcess => {
-    const startTime = Date.now();
-
-    const process = {
-      on: vi.fn((event: string, callback: (...args: unknown[]) => void) => {
-        if (event === 'exit') {
-          setTimeout(() => {
-            const endTime = Date.now();
-            concurrentProcesses.set(id, { start: startTime, end: endTime });
-            callback(0);
-          }, exitDelay);
-        }
-        return process;
-      }),
-      once: vi.fn((event: string, callback: (...args: unknown[]) => void) => {
-        if (event === 'exit') {
-          setTimeout(() => {
-            const endTime = Date.now();
-            concurrentProcesses.set(id, { start: startTime, end: endTime });
-            callback(0);
-          }, exitDelay);
-        }
-        return process;
-      }),
-      kill: vi.fn(),
-      pid: Math.floor(Math.random() * 100000),
-      exitCode: null,
-      signalCode: null,
-      stdin: null,
-      stdout: null,
-      stderr: null,
-      stdio: [null, null, null] as [
-        Writable | null,
-        Readable | null,
-        Readable | null
-      ],
-      connected: false
-    } as unknown as ChildProcess;
-
-    return process;
-  };
-
-  /**
-   * Helper to create a spawn request
-   */
-  const createRequest = (
-    id: string,
-    _exitDelay: number = 10
-  ) => ({
-    id,
-    type: 'test',
-    onSpawn: vi.fn(async () => { /* noop */ }),
-    onError: vi.fn(),
-    projectId: `project-${id}`,
-    projectPath: `/test/path/${id}`,
-    args: ['--test', id],
-    env: { TEST_ID: id },
-    cwd: '/test/cwd'
-  });
-
-  beforeEach(() => {
-    concurrentProcesses = new Map();
-
-    // Suppress console.log output in tests
-    vi.spyOn(console, 'log').mockImplementation(() => { /* noop */ });
-
-    // Mock spawn function that creates processes with different exit delays
-    mockSpawnFn = vi.fn(async (id: string) => {
-      // Use deterministic delays to avoid non-determinism
-      const delays = [10, 15, 20, 25, 30];
-      const index = parseInt(id.split('-')[1], 10) || 0;
-      const delay = delays[index % delays.length];
-      return createMockProcess(id, delay);
-    }) as SpawnFunction;
-
-    queue = new SpawnQueue(mockSpawnFn);
-  });
-
-  afterEach(() => {
-    vi.clearAllMocks();
-  });
-
-  describe('Stress Test - Rapid Concurrent Spawns', () => {
-    it('should handle 10 rapid spawn requests without corruption', async () => {
-      const numAgents = 10;
-      const executionOrder: string[] = [];
-
-      // Enqueue 10 agents rapidly
-      for (let i = 0; i < numAgents; i++) {
-        const id = `agent-${i}`;
-        const request = createRequest(id);
-        request.onSpawn = vi.fn(async () => {
-          executionOrder.push(id);
-        });
-        queue.enqueue(request);
-      }
-
-      // Wait for all to complete
-      await queue.drain();
-
-      // Verify all agents executed
-      expect(executionOrder).toHaveLength(numAgents);
-
-      // Verify FIFO order
-      for (let i = 0; i < numAgents; i++) {
-        expect(executionOrder[i]).toBe(`agent-${i}`);
-      }
-
-      // Verify all spawn functions were called
-      expect(mockSpawnFn).toHaveBeenCalledTimes(numAgents);
-    });
-
-    it('should maintain queue integrity under high load', async () => {
-      const numAgents = 10;
-      let maxLengthDuringProcessing = 0;
-
-      // Create a request that tracks queue length during processing
-      const createTrackingRequest = (id: string) => {
-        const request = createRequest(id);
-        const originalOnSpawn = request.onSpawn;
-
-        request.onSpawn = vi.fn(async () => {
-          // Track max queue length during processing
-          if (queue.length > maxLengthDuringProcessing) {
-            maxLengthDuringProcessing = queue.length;
-          }
-          await originalOnSpawn();
-        });
-
-        return request;
-      };
-
-      // Enqueue all agents rapidly
-      for (let i = 0; i < numAgents; i++) {
-        queue.enqueue(createTrackingRequest(`agent-${i}`));
-      }
-
-      await queue.drain();
-
-      // Verify queue eventually emptied
-      expect(queue.length).toBe(0);
-      expect(queue.isProcessing).toBe(false);
-
-      // Verify queue held pending items during processing
-      expect(maxLengthDuringProcessing).toBeGreaterThan(0);
-    });
-  });
-
-  describe('Sequential Verification - No Overlap', () => {
-    it('should ensure agents execute sequentially without overlap', async () => {
-      const numAgents = 5;
-
-      // Enqueue agents with varying delays
-      for (let i = 0; i < numAgents; i++) {
-        queue.enqueue(createRequest(`agent-${i}`, 20));
-      }
-
-      await queue.drain();
-
-      // Verify we tracked all agents
-      expect(concurrentProcesses.size).toBe(numAgents);
-
-      // Check for overlaps: each agent should finish before the next starts
-      const sortedEntries = Array.from(concurrentProcesses.entries()).sort(
-        (a, b) => a[1].start - b[1].start
-      );
-
-      for (let i = 0; i < sortedEntries.length - 1; i++) {
-        const [_currentId, currentTimes] = sortedEntries[i];
-        const [_nextId, nextTimes] = sortedEntries[i + 1];
-
-        // Next agent should start after current agent finishes
-        // Add tolerance for timing precision
-        expect(nextTimes.start).toBeGreaterThanOrEqual(currentTimes.end - 1);
-      }
-    });
-
-    it('should track start and end times accurately', async () => {
-      const testId = 'test-agent';
-      let spawnedTime: number | null = null;
-
-      // Create a request that tracks timing
-      const request = createRequest(testId, 30);
-
-      // Override mockSpawnFn to track timing more accurately
-      mockSpawnFn = vi.fn(async () => {
-        const startTime = Date.now();
-        const process = createMockProcess(testId, 30);
-
-        // Track when the process is spawned
-        request.onSpawn = vi.fn(async () => {
-          spawnedTime = startTime;
-        });
-
-        return process;
-      }) as SpawnFunction;
-
-      queue = new SpawnQueue(mockSpawnFn);
-      queue.enqueue(request);
-
-      await queue.drain();
-
-      // Verify spawn time was captured
-      expect(spawnedTime).not.toBeNull();
-
-      // Verify the process completed
-      const times = concurrentProcesses.get(testId);
-      expect(times).toBeDefined();
-
-      // Exit should be after spawn
-      expect(times?.end).toBeGreaterThanOrEqual(spawnedTime!);
-    });
-  });
-
-  describe('Error Recovery Under Load', () => {
-    it('should continue processing after failures', async () => {
-      const successCount: string[] = [];
-      const failureCount: string[] = [];
-
-      const createFailableRequest = (id: string, shouldFail: boolean) => {
-        const request = createRequest(id);
-        request.onSpawn = vi.fn(async () => {
-          if (shouldFail) {
-            throw new Error(`Simulated failure for ${id}`);
-          }
-          successCount.push(id);
-        });
-        request.onError = vi.fn((error: Error) => {
-          failureCount.push(id);
-          expect(error.message).toContain('Simulated failure');
-        });
-        return request;
-      };
-
-      // Enqueue mix of successful and failing requests
-      queue.enqueue(createFailableRequest('agent-1', false));
-      queue.enqueue(createFailableRequest('agent-2', true));
-      queue.enqueue(createFailableRequest('agent-3', false));
-      queue.enqueue(createFailableRequest('agent-4', true));
-      queue.enqueue(createFailableRequest('agent-5', false));
-
-      await queue.drain();
-
-      // Verify all were processed
-      expect(successCount).toHaveLength(3);
-      expect(failureCount).toHaveLength(2);
-
-      // Verify processing continued despite failures
-      expect(successCount).toEqual(['agent-1', 'agent-3', 'agent-5']);
-      expect(failureCount).toEqual(['agent-2', 'agent-4']);
-    });
-
-    it('should handle all failures gracefully', async () => {
-      const numAgents = 5;
-      const errors: string[] = [];
-
-      const createFailingRequest = (id: string) => {
-        const request = createRequest(id);
-        request.onSpawn = vi.fn(async () => {
-          throw new Error(`Failure ${id}`);
-        });
-        request.onError = vi.fn((_error: Error) => {
-          errors.push(id);
-        });
-        return request;
-      };
-
-      // All requests fail
-      for (let i = 0; i < numAgents; i++) {
-        queue.enqueue(createFailingRequest(`agent-${i}`));
-      }
-
-      await queue.drain();
-
-      // Verify all errors were handled
-      expect(errors).toHaveLength(numAgents);
-
-      // Queue should still be empty and not processing
-      expect(queue.length).toBe(0);
-      expect(queue.isProcessing).toBe(false);
-    });
-  });
-
-  describe('Real-World Scenario Simulation', () => {
-    it('should simulate user rapidly triggering multiple ideations', async () => {
-      const userTriggeredIdeations: string[] = [];
-
-      // Simulate user clicking "Generate Ideation" 5 times rapidly
-      const triggerIdeation = async (index: number) => {
-        const projectId = `project-${index}`;
-        userTriggeredIdeations.push(projectId);
-
-        queue.enqueue({
-          id: `ideation-${index}`,
-          type: 'ideation',
-          projectId,
-          projectPath: `/projects/${projectId}`,
-          args: ['--ideation', '--types', 'improvements,performance'],
-          env: { PROJECT_ID: projectId },
-          cwd: '/auto-claude',
-          onSpawn: vi.fn(async () => {
-            // Ideation spawned
-          }),
-          onError: vi.fn((_error: Error) => {
-            // Ideation failed
-          })
-        });
-      };
-
-      // User rapidly triggers 5 ideations (within 100ms)
-      const startTime = Date.now();
-      await Promise.all(
-        Array.from({ length: 5 }, (_, i) => triggerIdeation(i))
-      );
-      const _triggerTime = Date.now() - startTime;
-
-      // Wait for all to complete
-      await queue.drain();
-
-      // Verify all were processed
-      expect(mockSpawnFn).toHaveBeenCalledTimes(5);
-
-      // Verify sequential execution
-      const sortedEntries = Array.from(concurrentProcesses.entries()).sort(
-        (a, b) => a[1].start - b[1].start
-      );
-
-      for (let i = 0; i < sortedEntries.length - 1; i++) {
-        const currentEnd = sortedEntries[i][1].end;
-        const nextStart = sortedEntries[i + 1][1].start;
-        expect(nextStart).toBeGreaterThanOrEqual(currentEnd);
-      }
-    });
-  });
-
-  describe('Performance Characteristics', () => {
-    it('should measure throughput under load', async () => {
-      const numAgents = 10;
-      const startTime = Date.now();
-
-      for (let i = 0; i < numAgents; i++) {
-        queue.enqueue(createRequest(`agent-${i}`, 5));
-      }
-
-      await queue.drain();
-      const totalTime = Date.now() - startTime;
-
-      // With 10 agents each taking ~5ms + overhead, sequential execution
-      // should take roughly 50-100ms (much slower than parallel, but safe)
-      expect(totalTime).toBeGreaterThan(40); // At least 40ms for sequential
-      expect(totalTime).toBeLessThan(500); // But should complete in reasonable time
-
-      // Verify all completed
-      expect(mockSpawnFn).toHaveBeenCalledTimes(numAgents);
-    });
-  });
-});

apps/frontend/src/main/agent/spawn-queue.test.ts

@@ -1,320 +0,0 @@
-/**
- * Tests for SpawnQueue - Sequential Agent Spawning
- *
- * Tests the FIFO queue that ensures only one agent runs at a time
- * to prevent ~/.claude.json race condition and file corruption.
- */
-
-import { describe, it, expect, beforeEach, vi } from 'vitest';
-import { SpawnQueue, type SpawnFunction } from './spawn-queue';
-import type { ChildProcess } from 'child_process';
-import type { Readable, Writable } from 'stream';
-
-describe('SpawnQueue', () => {
-  let queue: SpawnQueue;
-  let mockSpawnFn: SpawnFunction;
-  let mockChildProcess: ChildProcess;
-
-  // Helper to create a valid spawn request
-  const createRequest = (overrides: Partial<{
-    id: string;
-    type: string;
-    onSpawn: (process: ChildProcess) => Promise<void>;
-    onError: (error: Error) => void;
-    projectId: string;
-    projectPath: string;
-    args: string[];
-    env: Record<string, string>;
-    cwd: string;
-  }> = {}) => ({
-    id: 'test-id',
-    type: 'test',
-    onSpawn: vi.fn(async () => { /* noop */ }),
-    onError: vi.fn(),
-    projectId: 'test-project',
-    projectPath: '/test/path',
-    args: [],
-    env: {},
-    cwd: '/test/cwd',
-    ...overrides
-  });
-
-  beforeEach(() => {
-    // Mock child process that exits successfully
-    mockChildProcess = {
-      on: vi.fn((event: string, callback: (...args: unknown[]) => void) => {
-        if (event === 'exit') {
-          // Simulate immediate exit for testing
-          setTimeout(() => callback(0), 0);
-        }
-        return mockChildProcess as ChildProcess;
-      }),
-      once: vi.fn((event: string, callback: (...args: unknown[]) => void) => {
-        if (event === 'exit') {
-          // Simulate immediate exit for testing
-          setTimeout(() => callback(0), 0);
-        }
-        return mockChildProcess as ChildProcess;
-      }),
-      kill: vi.fn(),
-      pid: 12345,
-      exitCode: null,
-      signalCode: null,
-      stdin: null,
-      stdout: null,
-      stderr: null,
-      stdio: [null, null, null] as [
-        Writable | null,
-        Readable | null,
-        Readable | null
-      ],
-      connected: false
-    } as unknown as ChildProcess;
-
-    // Mock spawn function with proper type
-    mockSpawnFn = vi.fn().mockResolvedValue(mockChildProcess) as SpawnFunction;
-
-    // Create queue with mock spawn function
-    queue = new SpawnQueue(mockSpawnFn);
-  });
-
-  describe('Sequential Processing', () => {
-    it('should process items in FIFO order', async () => {
-      const executionOrder: string[] = [];
-
-      // Create three spawn requests that track execution order
-      const request1 = createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn(async () => {
-          executionOrder.push('task-1');
-        })
-      });
-
-      const request2 = createRequest({
-        id: 'task-2',
-        onSpawn: vi.fn(async () => {
-          executionOrder.push('task-2');
-        })
-      });
-
-      const request3 = createRequest({
-        id: 'task-3',
-        onSpawn: vi.fn(async () => {
-          executionOrder.push('task-3');
-        })
-      });
-
-      // Enqueue all three items
-      queue.enqueue(request1);
-      queue.enqueue(request2);
-      queue.enqueue(request3);
-
-      // Wait for all to complete
-      await queue.drain();
-
-      // Verify they executed in FIFO order
-      expect(executionOrder).toEqual(['task-1', 'task-2', 'task-3']);
-      expect(request1.onSpawn).toHaveBeenCalledTimes(1);
-      expect(request2.onSpawn).toHaveBeenCalledTimes(1);
-      expect(request3.onSpawn).toHaveBeenCalledTimes(1);
-    });
-
-    it('should wait for each spawn to complete before starting next', async () => {
-      let task1Running = false;
-      let task2Started = false;
-
-      const request1 = createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn(async () => {
-          task1Running = true;
-          // Simulate work
-          await new Promise(resolve => setTimeout(resolve, 50));
-          task1Running = false;
-        })
-      });
-
-      const request2 = createRequest({
-        id: 'task-2',
-        onSpawn: vi.fn(async () => {
-          task2Started = true;
-          // Task 2 should only start after task 1 completes
-          expect(task1Running).toBe(false);
-        })
-      });
-
-      queue.enqueue(request1);
-      queue.enqueue(request2);
-
-      await queue.drain();
-
-      expect(task1Running).toBe(false);
-      expect(task2Started).toBe(true);
-    });
-  });
-
-  describe('Error Recovery', () => {
-    it('should continue to next item when spawn fails', async () => {
-      const executionOrder: string[] = [];
-
-      // First request fails
-      const request1 = createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn().mockRejectedValue(new Error('Spawn failed')),
-        onError: vi.fn((error: Error) => {
-          executionOrder.push('task-1-error');
-          expect(error.message).toBe('Spawn failed');
-        })
-      });
-
-      // Second request succeeds
-      const request2 = createRequest({
-        id: 'task-2',
-        onSpawn: vi.fn(async () => {
-          executionOrder.push('task-2');
-        })
-      });
-
-      queue.enqueue(request1);
-      queue.enqueue(request2);
-
-      await queue.drain();
-
-      // Verify both were processed in order
-      expect(executionOrder).toEqual(['task-1-error', 'task-2']);
-      expect(request1.onSpawn).toHaveBeenCalledTimes(1);
-      expect(request2.onSpawn).toHaveBeenCalledTimes(1);
-      expect(request1.onError).toHaveBeenCalledTimes(1);
-      expect(request2.onError).not.toHaveBeenCalled();
-    });
-
-    it('should handle multiple failures gracefully', async () => {
-      let errorCount = 0;
-
-      const failingRequest = createRequest({
-        id: `task-${errorCount}`,
-        onSpawn: vi.fn().mockRejectedValue(new Error('Failed')),
-        onError: vi.fn((_error: Error) => {
-          errorCount++;
-        })
-      });
-
-      // Enqueue multiple failing requests
-      queue.enqueue({ ...failingRequest, id: 'task-1' });
-      queue.enqueue({ ...failingRequest, id: 'task-2' });
-      queue.enqueue({ ...failingRequest, id: 'task-3' });
-
-      await queue.drain();
-
-      expect(errorCount).toBe(3);
-    });
-  });
-
-  describe('Empty Queue', () => {
-    it('should handle drain gracefully when queue is empty', async () => {
-      // Drain should resolve immediately with no items
-      await expect(queue.drain()).resolves.toBeUndefined();
-    });
-
-    it('should return zero length for empty queue', () => {
-      expect(queue.length).toBe(0);
-    });
-
-    it('should not be processing when queue is empty', () => {
-      expect(queue.isProcessing).toBe(false);
-    });
-  });
-
-  describe('Queue State', () => {
-    it('should track queue length correctly', async () => {
-      expect(queue.length).toBe(0);
-
-      // Enqueue first item - it will start processing immediately
-      queue.enqueue(createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn(async () => {
-          // While task-1 is processing, check that subsequent items are queued
-          queue.enqueue(createRequest({
-            id: 'task-2',
-            onSpawn: vi.fn()
-          }));
-          // Task 2 should be queued while task 1 processes
-          expect(queue.length).toBe(1);
-
-          queue.enqueue(createRequest({
-            id: 'task-3',
-            onSpawn: vi.fn()
-          }));
-          // Now both task 2 and task 3 are queued
-          expect(queue.length).toBe(2);
-        })
-      }));
-
-      // Wait for all to complete
-      await queue.drain();
-
-      // Queue should be empty after all processing
-      expect(queue.length).toBe(0);
-    });
-
-    it('should track processing state', async () => {
-      expect(queue.isProcessing).toBe(false);
-
-      const request = createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn(async () => {
-          // Check that processing is true during execution
-          expect(queue.isProcessing).toBe(true);
-        })
-      });
-
-      queue.enqueue(request);
-      expect(queue.isProcessing).toBe(true);
-
-      await queue.drain();
-      expect(queue.isProcessing).toBe(false);
-    });
-  });
-
-  describe('Spawn Function Integration', () => {
-    it('should call spawn function with correct arguments', async () => {
-      const request = createRequest({
-        id: 'task-1',
-        projectId: 'project-1',
-        projectPath: '/path/to/project',
-        args: ['--test', '--verbose'],
-        env: { TEST_VAR: 'test-value' },
-        cwd: '/test/cwd'
-      });
-
-      queue.enqueue(request);
-      await queue.drain();
-
-      expect(mockSpawnFn).toHaveBeenCalledTimes(1);
-      expect(mockSpawnFn).toHaveBeenCalledWith(
-        'task-1',
-        '/path/to/project',
-        ['--test', '--verbose'],
-        { TEST_VAR: 'test-value' },
-        'project-1',
-        '/test/cwd'
-      );
-    });
-
-    it('should pass spawned process to onSpawn callback', async () => {
-      let receivedProcess: import('child_process').ChildProcess | undefined;
-
-      const request = createRequest({
-        id: 'task-1',
-        onSpawn: vi.fn(async (process: import('child_process').ChildProcess) => {
-          receivedProcess = process;
-        })
-      });
-
-      queue.enqueue(request);
-      await queue.drain();
-
-      expect(receivedProcess).toBeDefined();
-      expect(receivedProcess?.pid).toBe(12345);
-    });
-  });
-});

apps/frontend/src/main/agent/spawn-queue.ts

@@ -1,177 +0,0 @@
-/**
- * FIFO Queue for Sequential Agent Spawning
- *
- * Ensures only one agent spawns at a time to prevent ~/.claude.json
- * race condition and file corruption from concurrent writes.
- *
- * Key behaviors:
- * - Processes items FIFO (first in, first out)
- * - Waits for each agent to exit before spawning the next
- * - Continues to next item if spawn fails (error resilience)
- * - Provides drain() method to wait for all queued items
- */
-
-import type { ChildProcess } from 'child_process';
-
-/** Poll interval for drain() method in milliseconds */
-const DRAIN_POLL_INTERVAL = 10;
-
-/**
- * Request to spawn an agent process
- */
-export interface SpawnRequest {
-  /** Unique identifier for this spawn request */
-  id: string;
-  /** Type of process being spawned ('ideation' | 'roadmap' | 'build') */
-  type: string;
-  /** Callback invoked when process is spawned (receives ChildProcess) */
-  onSpawn: (process: ChildProcess) => Promise<void>;
-  /** Callback invoked if spawn fails */
-  onError: (error: Error) => void;
-  /** Project ID for the task */
-  projectId: string;
-  /** Project path where the task runs */
-  projectPath: string;
-  /** Command-line arguments to pass to the process */
-  args: string[];
-  /** Environment variables for the process */
-  env: Record<string, string>;
-  /** Working directory for the process */
-  cwd: string;
-}
-
-/**
- * Function type for spawning a process
- * Abstracted for testability and dependency injection
- */
-export type SpawnFunction = (
-  id: string,
-  projectPath: string,
-  args: string[],
-  env: Record<string, string>,
-  projectId: string,
-  cwd: string
-) => Promise<ChildProcess>;
-
-/**
- * FIFO queue for sequential agent spawning
- */
-export class SpawnQueue {
-  private queue: SpawnRequest[] = [];
-  private processing = false;
-  private spawnFn: SpawnFunction;
-
-  constructor(spawnFn: SpawnFunction) {
-    this.spawnFn = spawnFn;
-  }
-
-  /**
-   * Add a spawn request to the queue
-   * Automatically starts processing if not already running
-   */
-  enqueue(request: SpawnRequest): void {
-    this.queue.push(request);
-
-    // Start processing if not already running
-    if (!this.processing) {
-      this.processNext().catch((error) => {
-        console.error('[SpawnQueue] Fatal error processing queue:', error);
-        this.processing = false;
-      });
-    }
-  }
-
-  /**
-   * Process the next item in the queue
-   * Continues processing until queue is empty
-   */
-  private async processNext(): Promise<void> {
-    // Mark as processing
-    this.processing = true;
-
-    while (this.queue.length > 0) {
-      const request = this.queue.shift();
-
-      if (!request) {
-        continue;
-      }
-
-      try {
-        // Spawn the process
-        const process = await this.spawnFn(
-          request.id,
-          request.projectPath,
-          request.args,
-          request.env,
-          request.projectId,
-          request.cwd
-        );
-
-        // Invoke the onSpawn callback
-        await request.onSpawn(process);
-
-        // Wait for the process to exit before continuing
-        await this.waitForExit(process);
-      } catch (error) {
-        // If spawn or onSpawn fails, invoke error callback and continue
-        const errorObj = error instanceof Error ? error : new Error(String(error));
-        request.onError(errorObj);
-      }
-    }
-
-    // Queue is empty, no longer processing
-    this.processing = false;
-  }
-
-  /**
-   * Wait for a child process to exit
-   */
-  private waitForExit(process: ChildProcess): Promise<void> {
-    return new Promise<void>((resolve) => {
-      // Check if process already exited (handles race condition)
-      if (process.exitCode !== null) {
-        resolve();
-        return;
-      }
-
-      // Set up exit event listener (in case exit hasn't happened yet)
-      const onExit = () => {
-        resolve();
-      };
-
-      process.once('exit', onExit);
-    });
-  }
-
-  /**
-   * Wait for all queued items to complete
-   * Uses polling to check completion status
-   */
-  async drain(): Promise<void> {
-    // Poll until queue is empty and not processing
-    while (this.queue.length > 0 || this.processing) {
-      await this.sleep(DRAIN_POLL_INTERVAL);
-    }
-  }
-
-  /**
-   * Current queue length
-   */
-  get length(): number {
-    return this.queue.length;
-  }
-
-  /**
-   * Whether the queue is currently processing an item
-   */
-  get isProcessing(): boolean {
-    return this.processing;
-  }
-
-  /**
-   * Sleep for a specified number of milliseconds
-   */
-  private sleep(ms: number): Promise<void> {
-    return new Promise((resolve) => setTimeout(resolve, ms));
-  }
-}

apps/frontend/src/main/app-language.ts

@@ -39,7 +39,7 @@ export function initAppLanguage(): void {
     const osLocale = app?.getLocale?.() || 'en';
     // Extract base language (e.g., 'en-US' -> 'en')
     currentAppLanguage = osLocale.split('-')[0] || 'en';
-  } catch {
-          currentAppLanguage = 'en';
+  } catch {
+    currentAppLanguage = 'en';
   }
 }

apps/frontend/src/main/app-logger.ts

@@ -24,7 +24,7 @@ import os from 'os';
 try {
   log.initialize();
 } catch {
-        // Already initialized, ignore
+  // Already initialized, ignore
 }
 
 // File transport configuration
@@ -38,6 +38,18 @@ log.transports.file.fileName = 'main.log';
 // Console transport - always show warnings and errors, debug only in dev mode
 log.transports.console.level = process.env.NODE_ENV === 'development' ? 'debug' : 'warn';
 log.transports.console.format = '[{h}:{i}:{s}] [{level}] {text}';
+// Guard console transport writes so broken stdio streams do not crash the app.
+{
+  const originalConsoleWriteFn = log.transports.console.writeFn as (...args: unknown[]) => void;
+  log.transports.console.writeFn = (...args: unknown[]) => {
+    try {
+      originalConsoleWriteFn(...args);
+    } catch (error) {
+      const err = error instanceof Error ? `${error.name}: ${error.message}` : String(error);
+      safeStderrWrite(`[app-logger] console transport write failed: ${err}`);
+    }
+  };
+}
 
 // Determine if this is a beta version
 function isBetaVersion(): boolean {
@@ -204,14 +216,44 @@ export const appLog = {
   log: (...args: unknown[]) => log.info(...args),
 };
 
+/**
+ * Best-effort stderr fallback used when electron-log itself throws (e.g. EIO).
+ * Must never throw, especially inside uncaught exception handlers.
+ */
+function safeStderrWrite(message: string): void {
+  try {
+    process.stderr.write(`${message}\n`);
+  } catch {
+    // Ignore - nothing else we can safely do here.
+  }
+}
+
+/**
+ * Log an unhandled error without risking recursive crashes if logger transport fails.
+ */
+function safeLogUnhandled(prefix: string, value: unknown): void {
+  try {
+    log.error(prefix, value);
+  } catch (loggingError) {
+    const loggingFailure = loggingError instanceof Error
+      ? `${loggingError.name}: ${loggingError.message}`
+      : String(loggingError);
+    const original = value instanceof Error
+      ? (value.stack || `${value.name}: ${value.message}`)
+      : String(value);
+    safeStderrWrite(`[app-logger] ${prefix} (logger failed: ${loggingFailure})`);
+    safeStderrWrite(original);
+  }
+}
+
 // Log unhandled errors
 export function setupErrorLogging(): void {
   process.on('uncaughtException', (error) => {
-    log.error('Uncaught exception:', error);
+    safeLogUnhandled('Uncaught exception:', error);
   });
 
   process.on('unhandledRejection', (reason) => {
-    log.error('Unhandled rejection:', reason);
+    safeLogUnhandled('Unhandled rejection:', reason);
   });
 
   log.info('Error logging initialized');

apps/frontend/src/main/app-updater.ts

@@ -88,16 +88,18 @@ function htmlToMarkdown(html: string): string {
   md = md.replace(/<br\s*\/?>/gi, '\n');
   md = md.replace(/<hr\s*\/?>/gi, '---\n\n');
 
-  // Remove any remaining HTML tags
-  md = md.replace(/<[^>]+>/g, '');
+  // Remove any remaining HTML tags (loop to handle nested tag fragments)
+  while (/<[^>]+>/.test(md)) {
+    md = md.replace(/<[^>]+>/g, '');
+  }
 
-  // Decode common HTML entities
-  md = md.replace(/&amp;/g, '&');
+  // Decode common HTML entities (&amp; LAST to prevent double-unescaping like &amp;lt; → &lt; → <)
   md = md.replace(/&lt;/g, '<');
   md = md.replace(/&gt;/g, '>');
   md = md.replace(/&quot;/g, '"');
   md = md.replace(/&#39;/g, "'");
   md = md.replace(/&nbsp;/g, ' ');
+  md = md.replace(/&amp;/g, '&');
 
   // Clean up excessive whitespace
   md = md.replace(/\n{3,}/g, '\n\n');
@@ -545,7 +547,8 @@ async function fetchLatestStableRelease(): Promise<AppUpdateInfo | null> {
 
           const version = latestStable.tag_name.replace(/^v/, '');
           // Sanitize version string for logging (remove control characters and limit length)
-                    const safeVersion = String(version).replace(/[\x00-\x1f\x7f]/g, '').slice(0, 50);
+          // biome-ignore lint/suspicious/noControlCharactersInRegex: Intentionally matching control chars for sanitization
+          const safeVersion = String(version).replace(/[\x00-\x1f\x7f]/g, '').slice(0, 50);
           console.warn('[app-updater] Found latest stable release:', safeVersion);
 
           resolve({