Add the ability to reset a project to its initial state with two options:
- Quick Reset: Clears features.db, assistant.db, and settings files while
preserving app spec and prompts
- Full Reset: Deletes everything including prompts directory, triggering
the setup wizard for project reconfiguration
Backend changes:
- Add POST /{name}/reset endpoint to projects router with full_reset query param
- Validate agent lock file to prevent reset while agent is running (409 Conflict)
- Dispose database engines before deleting files to release Windows file locks
- Add engine caching to api/database.py for better connection management
- Add dispose_engine() functions to both database modules
- Delete WAL mode journal files (*.db-wal, *.db-shm) during reset
Frontend changes:
- Add ResetProjectModal component with toggle between Quick/Full reset modes
- Add ProjectSetupRequired component shown when has_spec is false
- Add resetProject API function and useResetProject React Query hook
- Integrate reset button in header (disabled when agent running)
- Add 'R' keyboard shortcut to open reset modal
- Show ProjectSetupRequired when project needs setup after full reset
This implements the feature from PR #4 directly on master to avoid merge
conflicts.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add `default_concurrency` column to the projects table in the registry
database, allowing each project to remember its preferred concurrency
setting (1-5 agents). The value persists across page refreshes and
app restarts.
Backend changes:
- Add `default_concurrency` column to Project model in registry.py
- Add database migration for existing databases (ALTER TABLE)
- Add get/set_project_concurrency() CRUD functions
- Add ProjectSettingsUpdate schema with validation
- Add PATCH /{name}/settings endpoint in projects router
- Include default_concurrency in ProjectSummary/ProjectDetail responses
Frontend changes:
- Add default_concurrency to ProjectSummary TypeScript interface
- Add ProjectSettingsUpdate type and updateProjectSettings API function
- Add useUpdateProjectSettings React Query mutation hook
- Update AgentControl to accept defaultConcurrency prop
- Sync local state when project changes via useEffect
- Debounce slider changes (500ms) before saving to backend
- Pass defaultConcurrency from selectedProjectData in App.tsx
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replace direct-DB feature creation with MCP tool path. The expand
session now configures the feature MCP server and allows
feature_create_bulk tool calls, matching how AssistantChatSession
already works. Removes duplicated _create_features_bulk() method
and <features_to_create> regex parsing.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Address CodeRabbit feedback - use consistent conditional pattern:
`(max_priority.priority + 1) if max_priority else 1`
This matches the pattern used in create_feature and create_features_bulk.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Users can now access the WebUI remotely (e.g., via VS Code tunnels,
remote servers) by specifying a host address:
python start_ui.py --host 0.0.0.0
python start_ui.py --host 0.0.0.0 --port 8888
Changes:
- Added --host and --port CLI arguments to start_ui.py
- Security warning displayed when remote access is enabled
- AUTOCODER_ALLOW_REMOTE env var passed to server
- server/main.py conditionally disables localhost middleware
- CORS updated to allow all origins when remote access is enabled
- Browser auto-open disabled for remote hosts
Security considerations documented in warning:
- File system access to project directories
- API can start/stop agents and modify files
- Recommend firewall or VPN for protection
Fixes: leonvanzyl/autocoder#81
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
When running multiple projects simultaneously, UI would show mixed data
because the manager registry used only project_name as key. Projects with
the same name but different paths shared the same manager instance.
Changed manager registries to use composite key (project_name, resolved_path):
- server/services/process_manager.py: AgentProcessManager registry
- server/services/dev_server_manager.py: DevServerProcessManager registry
This ensures that:
- /old/my-app and /new/my-app get separate managers
- Multiple browser tabs viewing different projects stay isolated
- Project renames don't cause callback contamination
Fixes: leonvanzyl/autocoder#71
Also fixes: leonvanzyl/autocoder#62 (progress bar sync)
Also fixes: leonvanzyl/autocoder#61 (features missing in kanban)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The REST API skip endpoint was using max_priority + 1000, while the
MCP server used max_priority + 1. This caused priority inflation where
values could reach 10,000+ after multiple skips.
Changed to use + 1 for consistency with mcp_server/feature_mcp.py:345.
Fixes: leonvanzyl/autocoder#65
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Problem:
Several API endpoints return 500 Internal Server Error because datetime
objects are not serializable by Pydantic. The error occurs when:
- GET /agent/{project}/status
- GET /devserver/{project}/status
- GET /schedules/{project}/next
Root cause:
Pydantic models expect strings for Optional datetime fields, but the code
was passing raw datetime objects.
Solution:
Convert datetime objects to ISO 8601 strings using .isoformat() before
returning in Pydantic response models.
Changes:
- server/routers/agent.py: Fix started_at serialization
- server/routers/devserver.py: Fix started_at serialization
- server/routers/schedules.py: Fix next_start/next_end serialization
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Resolved conflicts by combining:
- stdin=DEVNULL and CREATE_NO_WINDOW (blocking fix)
- PYTHONUNBUFFERED env var (output buffering fix)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add stdin=subprocess.DEVNULL to prevent blocking on stdin reads
- Add CREATE_NO_WINDOW flag on Windows to prevent console pop-ups
- Remove trailing pause from start_ui.bat
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Remove the testing_in_progress claim/release mechanism from the testing
agent architecture. Multiple testing agents can now test the same feature
concurrently, simplifying the system and eliminating potential stale lock
issues.
Changes:
- parallel_orchestrator.py:
- Remove claim_feature_for_testing() and release_testing_claim() methods
- Remove _cleanup_stale_testing_locks() periodic cleanup
- Replace with simple _get_random_passing_feature() selection
- Remove startup stale lock cleanup code
- Remove STALE_TESTING_LOCK_MINUTES constant
- Remove unused imports (timedelta, text)
- api/database.py:
- Remove testing_in_progress and last_tested_at columns from Feature model
- Update to_dict() to exclude these fields
- Convert _migrate_add_testing_columns() to no-op for backwards compat
- mcp_server/feature_mcp.py:
- Remove feature_release_testing tool entirely
- Remove unused datetime import
- prompts.py:
- Update testing prompt to remove feature_release_testing instruction
- Testing agents now just verify and exit (no cleanup needed)
- server/websocket.py:
- Update AgentTracker to use composite keys (feature_id, agent_type)
- Prevents ghost agent creation from ambiguous [Feature #X] messages
- Proper separation of coding vs testing agent tracking
Benefits:
- Eliminates artificial bottleneck from claim coordination
- No stale locks to clean up after crashes
- Simpler crash recovery (no testing state to restore)
- Reduced database writes (no claim/release transactions)
- Matches intended design: random, concurrent regression testing
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Previously, agents that completed their work would remain visible in the
Mission Control UI until a manual page refresh. This occurred because
the AgentTracker._handle_agent_complete method silently dropped completion
messages when an agent wasn't tracked (e.g., due to missed start messages
from WebSocket connection issues).
Backend changes:
- Modified _handle_agent_complete in server/websocket.py to always emit
completion messages, even for untracked agents
- Synthetic completions use agentIndex=-1 and agentName='Unknown' as
sentinel values to indicate untracked agents
Frontend changes:
- Updated useWebSocket.ts to handle synthetic completions by removing
agents by featureId when agentIndex is -1
- Added 30-minute stale agent cleanup as defense-in-depth for users who
leave the UI open for extended periods
- Updated TypeScript types to allow 'Unknown' as valid agent name
Component updates:
- AgentAvatar.tsx: Added UNKNOWN_COLORS and UnknownSVG fallback for
rendering unknown agents with a neutral gray question mark icon
- CelebrationOverlay.tsx, DependencyGraph.tsx: Updated interfaces to
accept 'Unknown' agent names
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add real-time visibility into the parallel orchestrator's decisions
and state in the Mission Control UI. The orchestrator now has its
own avatar ("Maestro") and displays capacity/queue information.
Backend changes (server/websocket.py):
- Add OrchestratorTracker class that parses orchestrator stdout
- Define regex patterns for key orchestrator events (spawn, complete, capacity)
- Track coding/testing agent counts, ready queue, blocked features
- Emit orchestrator_update WebSocket messages
- Reset tracker state when agent stops or crashes
Frontend changes:
- Add OrchestratorState, OrchestratorStatus, OrchestratorEvent types
- Add WSOrchestratorUpdateMessage to WSMessage union
- Handle orchestrator_update in useWebSocket hook
- Create OrchestratorAvatar component (Maestro - robot conductor)
- Create OrchestratorStatusCard with capacity badges and event ticker
- Update AgentMissionControl to show orchestrator above agent cards
- Add conducting/baton-tap CSS animations for Maestro
The orchestrator status card shows:
- Maestro avatar with state-based animations
- Current orchestrator state and message
- Coding agents, testing agents, ready queue badges
- Blocked features count (when > 0)
- Collapsible recent events list
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Move mimetypes import to the top of the import block to satisfy
ruff's import sorting rules (I001). The Windows mimetype fix from
PR #82 placed the import after other imports, which violated the
project's linting standards.
Changes:
- Move `import mimetypes` to alphabetically correct position
- Update comment to clarify timing requirement
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replace agent-initiated feature selection with orchestrator pre-selection
for both coding and testing agents. This ensures Mission Control displays
correct feature numbers for testing agents (previously showed "Feature #0").
Key changes:
MCP Server (mcp_server/feature_mcp.py):
- Add feature_get_by_id tool for agents to fetch assigned feature details
- Remove obsolete tools: feature_get_next, feature_claim_next,
feature_claim_for_testing, feature_get_for_regression
- Remove helper functions and unused imports (text, OperationalError, func)
Orchestrator (parallel_orchestrator.py):
- Change running_testing_agents from list to dict[int, Popen]
- Add claim_feature_for_testing() with random selection
- Add release_testing_claim() method
- Pass --testing-feature-id to spawned testing agents
- Use unified [Feature #X] output format for both agent types
Agent Entry Points:
- autonomous_agent_demo.py: Add --testing-feature-id CLI argument
- agent.py: Pass testing_feature_id to get_testing_prompt()
Prompt Templates:
- coding_prompt.template.md: Update to use feature_get_by_id
- testing_prompt.template.md: Update workflow for pre-assigned features
- prompts.py: Update pre-claimed headers for both agent types
WebSocket (server/websocket.py):
- Simplify tracking with unified [Feature #X] pattern
- Remove testing-specific parsing code
Assistant (server/services/assistant_chat_session.py):
- Update help text with current available tools
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major refactoring of the parallel orchestrator to run regression testing
agents independently from coding agents. This improves system reliability
and provides better control over testing behavior.
Key changes:
Database & MCP Layer:
- Add testing_in_progress and last_tested_at columns to Feature model
- Add feature_claim_for_testing() for atomic test claim with retry
- Add feature_release_testing() to release claims after testing
- Refactor claim functions to iterative loops (no recursion)
- Add OperationalError retry handling for transient DB errors
- Reduce MAX_CLAIM_RETRIES from 10 to 5
Orchestrator:
- Decouple testing agent lifecycle from coding agents
- Add _maintain_testing_agents() for continuous testing maintenance
- Fix TOCTOU race in _spawn_testing_agent() - hold lock during spawn
- Add _cleanup_stale_testing_locks() with 30-min timeout
- Fix log ordering - start_session() before stale flag cleanup
- Add stale testing_in_progress cleanup on startup
Dead Code Removal:
- Remove count_testing_in_concurrency from entire stack (12+ files)
- Remove ineffective with_for_update() from features router
API & UI:
- Pass testing_agent_ratio via CLI to orchestrator
- Update testing prompt template to use new claim/release tools
- Rename UI label to "Regression Agents" with clearer description
- Add process_utils.py for cross-platform process tree management
Testing agents now:
- Run continuously as long as passing features exist
- Can re-test features multiple times to catch regressions
- Are controlled by fixed count (0-3) via testing_agent_ratio setting
- Have atomic claiming to prevent concurrent testing of same feature
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Performance improvements:
- Fix N+1 query in get_conversations() using COUNT subquery instead of
len(c.messages) which triggered lazy loading for each conversation
- Add SQLAlchemy engine caching to avoid creating new database connections
on every request
- Add React.memo to ChatMessage component to prevent unnecessary re-renders
during message streaming
- Move BOLD_REGEX to module scope to avoid recreating on each render
Code quality improvements:
- Remove 10+ console.log debug statements from AssistantChat.tsx and
AssistantPanel.tsx that were left from development
- Add user feedback for delete errors in ConversationHistory - dialog now
stays open and shows error message instead of silently failing
- Update ConfirmDialog to accept ReactNode for message prop to support
rich error content
These changes address issues identified in the code review of PR #74
(conversation history feature).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit fixes several issues identified in the agent scheduling
feature from PR #75:
Frontend Fixes:
- Add day boundary handling in timeUtils.ts for timezone conversions
- Add utcToLocalWithDayShift/localToUTCWithDayShift functions
- Add shiftDaysForward/shiftDaysBackward helpers for bitfield adjustment
- Update ScheduleModal to correctly adjust days_of_week when crossing
day boundaries during UTC conversion (fixes schedules running on
wrong days for users in extreme timezones like UTC+9)
Backend Fixes:
- Add MAX_SCHEDULES_PER_PROJECT (50) limit to prevent resource exhaustion
- Wire up crash recovery callback in scheduler_service._start_agent()
- Convert schedules.py endpoints to use context manager for DB sessions
- Fix race condition in override creation with atomic delete-then-create
- Replace deprecated datetime.utcnow with datetime.now(timezone.utc)
- Add DB-level CHECK constraints for Schedule model fields
Files Modified:
- api/database.py: Add _utc_now helper, CheckConstraint imports, constraints
- progress.py: Replace deprecated datetime.utcnow
- server/routers/schedules.py: Add context manager, schedule limits
- server/services/assistant_database.py: Replace deprecated datetime.utcnow
- server/services/scheduler_service.py: Wire crash recovery, fix race condition
- ui/src/components/ScheduleModal.tsx: Use day shift functions
- ui/src/lib/timeUtils.ts: Add day boundary handling functions
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Security fixes to restore defense-in-depth after merging PR #78:
**client.py:**
- Revert permission mode from "bypassPermissions" to "acceptEdits"
- Remove redundant web_tools_auto_approve_hook from PreToolUse hooks
- Remove unused import of web_tools_auto_approve_hook
**security.py:**
- Remove web_tools_auto_approve_hook function (was redundant and
returned {} for ALL tools, not just WebFetch/WebSearch)
**server/services/spec_chat_session.py:**
- Restore allowed_tools restriction: [Read, Write, Edit, Glob,
WebFetch, WebSearch]
- Revert permission mode from "bypassPermissions" to "acceptEdits"
- Keeps setting_sources=["project", "user"] for global skills access
**ui/src/components/AgentAvatar.tsx:**
- Remove unused getMascotName export to fix React Fast Refresh warning
- File now only exports AgentAvatar component as expected
The bypassPermissions mode combined with unrestricted tool access in
spec_chat_session.py created a security gap where Bash commands could
execute without validation (sandbox disabled, no bash_security_hook).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
UI Changes:
- Add "Create Spec with AI" button in empty kanban when project has no spec
- Button opens SpecCreationChat to guide users through spec creation
- Shows in Pending column when has_spec=false and no features exist
Windows Fixes:
- Fix asyncio subprocess NotImplementedError on Windows
- Set WindowsProactorEventLoopPolicy in server/__init__.py
- Remove --reload from uvicorn (incompatible with Windows subprocess)
- Add process cleanup on startup in start_ui.bat
Spec Chat Improvements:
- Enable full tool access (remove allowed_tools restriction)
- Add "user" to setting_sources for global skills access
- Use bypassPermissions mode for auto-approval
- Add WebFetch/WebSearch auto-approve hook
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add comprehensive scheduling system that allows agents to automatically
start and stop during configured time windows, helping users manage
Claude API token limits by running agents during off-hours.
Backend Changes:
- Add Schedule and ScheduleOverride database models for persistent storage
- Implement APScheduler-based SchedulerService with UTC timezone support
- Add schedule CRUD API endpoints (/api/projects/{name}/schedules)
- Add manual override tracking to prevent unwanted auto-start/stop
- Integrate scheduler lifecycle with FastAPI startup/shutdown
- Fix timezone bug: explicitly set timezone=timezone.utc on CronTrigger
to ensure correct UTC scheduling (critical fix)
Frontend Changes:
- Add ScheduleModal component for creating and managing schedules
- Add clock button and schedule status display to AgentControl
- Add timezone utilities for converting between UTC and local time
- Add React Query hooks for schedule data fetching
- Fix 204 No Content handling in fetchJSON for delete operations
- Invalidate nextRun cache when manually stopping agent during window
- Add TypeScript type annotations to Terminal component callbacks
Features:
- Multiple overlapping schedules per project supported
- Auto-start at scheduled time via APScheduler cron jobs
- Auto-stop after configured duration
- Manual start/stop creates persistent overrides in database
- Crash recovery with exponential backoff (max 3 retries)
- Server restart preserves schedules and active overrides
- Times displayed in user's local timezone, stored as UTC
- Immediate start if schedule created during active window
Dependencies:
- Add APScheduler for reliable cron-like scheduling
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Introduce a new testing agent architecture that runs regression tests
independently from coding agents, improving quality assurance in
parallel mode.
Key changes:
Testing Agent System:
- Add testing_prompt.template.md for dedicated testing agent role
- Add feature_mark_failing MCP tool for regression detection
- Add --agent-type flag to select initializer/coding/testing mode
- Remove regression testing from coding prompt (now handled by testing agents)
Parallel Orchestrator Enhancements:
- Add testing agent spawning with configurable ratio (--testing-agent-ratio)
- Add comprehensive debug logging system (DebugLog class)
- Improve database session management to prevent stale reads
- Add engine.dispose() calls to refresh connections after subprocess commits
- Fix f-string linting issues (remove unnecessary f-prefixes)
UI Improvements:
- Add testing agent mascot (Chip) to AgentAvatar
- Enhance AgentCard to display testing agent status
- Add testing agent ratio slider in SettingsModal
- Update WebSocket handling for testing agent updates
- Improve ActivityFeed to show testing agent activity
API & Server Updates:
- Add testing_agent_ratio to settings schema and endpoints
- Update process manager to support testing agent type
- Enhance WebSocket messages for agent_update events
Template Changes:
- Delete coding_prompt_yolo.template.md (consolidated into main prompt)
- Update initializer_prompt.template.md with improved structure
- Streamline coding_prompt.template.md workflow
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Remove unused imports and organize import statements to pass ruff
linting checks:
- mcp_server/feature_mcp.py: Remove unused imports (are_dependencies_satisfied,
get_blocking_dependencies) and alphabetize import block
- parallel_orchestrator.py: Remove unused imports (time, Awaitable) and
add blank lines between import groups per PEP 8
- server/routers/features.py: Alphabetize imports in dependency resolver
These changes were identified by running `ruff check .` and auto-fixed
with `--fix` flag.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Critical fixes:
- Lock file TOCTOU race condition: Use atomic O_CREAT|O_EXCL for lock creation
- PID reuse vulnerability on Windows: Store PID:CREATE_TIME in lock file to
detect when a different process has reused the same PID
- WAL mode on network drives: Detect network paths (UNC, mapped drives, NFS,
CIFS) and fall back to DELETE journal mode to prevent corruption
High priority fixes:
- JSON migration now preserves dependencies field during legacy migration
- Process tree termination on Windows: Use psutil to kill child processes
recursively to prevent orphaned browser instances
- Retry backoff jitter: Add random 30% jitter to prevent synchronized retries
under high contention with 5 concurrent agents
Files changed:
- server/services/process_manager.py: Atomic lock creation, PID+create_time
- api/database.py: Network filesystem detection for WAL mode fallback
- api/migration.py: Add dependencies field to JSON migration
- parallel_orchestrator.py: _kill_process_tree helper function
- mcp_server/feature_mcp.py: Add jitter to exponential backoff
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major feature implementation for parallel agent execution with dependency-aware
scheduling and an engaging multi-agent UI experience.
Backend Changes:
- Add parallel_orchestrator.py for concurrent feature processing
- Add api/dependency_resolver.py with cycle detection (Kahn's algorithm + DFS)
- Add atomic feature_claim_next() with retry limit and exponential backoff
- Fix circular dependency check arguments in 4 locations
- Add AgentTracker class for parsing agent output and emitting updates
- Add browser isolation with --isolated flag for Playwright MCP
- Extend WebSocket protocol with agent_update messages and log attribution
- Add WSAgentUpdateMessage schema with agent states and mascot names
- Fix WSProgressMessage to include in_progress field
New UI Components:
- AgentMissionControl: Dashboard showing active agents with collapsible activity
- AgentCard: Individual agent status with avatar and thought bubble
- AgentAvatar: SVG mascots (Spark, Fizz, Octo, Hoot, Buzz) with animations
- ActivityFeed: Recent activity stream with stable keys (no flickering)
- CelebrationOverlay: Confetti animation with click/Escape dismiss
- DependencyGraph: Interactive node graph visualization with dagre layout
- DependencyBadge: Visual indicator for feature dependencies
- ViewToggle: Switch between Kanban and Graph views
- KeyboardShortcutsHelp: Help overlay accessible via ? key
UI/UX Improvements:
- Celebration queue system to handle rapid success messages
- Accessibility attributes on AgentAvatar (role, aria-label, aria-live)
- Collapsible Recent Activity section with persisted preference
- Agent count display in header
- Keyboard shortcut G to toggle Kanban/Graph view
- Real-time thought bubbles and state animations
Bug Fixes:
- Fix circular dependency validation (swapped source/target arguments)
- Add MAX_CLAIM_RETRIES=10 to prevent stack overflow under contention
- Fix THOUGHT_PATTERNS to match actual [Tool: name] format
- Fix ActivityFeed key prop to prevent re-renders on new items
- Add featureId/agentIndex to log messages for proper attribution
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Fix duplicate onConversationCreated callbacks by tracking activeConversationId
- Fix history loss when switching conversations with Map-based deduplication
- Disable input while conversation is loading to prevent message routing issues
- Gate WebSocket debug logs behind DEV flag (import.meta.env.DEV)
- Downgrade server logging from info to debug level for reduced noise
- Fix .gitignore prefixes for playwright paths (ui/playwright-report/, ui/test-results/)
- Remove debug console.log from ConversationHistory.tsx
- Add staleTime (30s) to single conversation query for better caching
- Increase history message cap from 20 to 35 for better context
- Replace fixed timeouts with condition-based waits in e2e tests
- Add ConversationHistory dropdown component with list of past conversations
- Add useConversations hook for fetching and managing conversations via React Query
- Implement conversation switching with proper state management
- Fix bug where reopening panel showed new greeting instead of resuming conversation
- Fix bug where selecting from history caused conversation ID to revert
- Add server-side history context loading for resumed conversations
- Add Playwright E2E tests for conversation history feature
- Add logging for debugging conversation flow
Key changes:
- AssistantPanel: manages conversation state with localStorage persistence
- AssistantChat: header with [+] New Chat and [History] buttons
- Server: skips greeting for resumed conversations, loads history context on first message
- Fixed race condition in onConversationCreated callback
Complete the defense-in-depth approach from PR #53 by adding explicit
in_progress=False to all remaining feature creation locations. This
ensures consistency with the MCP server pattern and prevents potential
NULL values in the in_progress field.
Changes:
- server/routers/features.py: Add in_progress=False to create_feature()
and create_features_bulk() endpoints
- server/services/expand_chat_session.py: Add in_progress=False to
_create_features_bulk() in the expand chat session
- api/migration.py: Add in_progress field handling in JSON migration,
reading from source data with False as default
This follows up on PR #53 which added nullable=False constraints and
fixed existing NULL values, but only updated the MCP server creation
paths. Now all 6 feature creation locations explicitly set both
passes=False and in_progress=False.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add the ability for users to edit features that are not yet completed,
allowing them to provide corrections or additional instructions when the
agent is stuck or implementing a feature incorrectly.
Backend changes:
- Add FeatureUpdate schema in server/schemas.py with optional fields
- Add PATCH /api/projects/{project_name}/features/{feature_id} endpoint
- Validate that completed features (passes=True) cannot be edited
Frontend changes:
- Add FeatureUpdate type in ui/src/lib/types.ts
- Add updateFeature() API function in ui/src/lib/api.ts
- Add useUpdateFeature() React Query mutation hook
- Create EditFeatureForm.tsx component with pre-filled form values
- Update FeatureModal.tsx with Edit button for non-completed features
The edit form allows modifying category, name, description, priority,
and test steps. Save button is disabled until changes are detected.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The model was hardcoded to "claude-opus-4-5-20251101" in chat session
services, ignoring the ANTHROPIC_DEFAULT_OPUS_MODEL environment variable.
This caused issues when using alternative API providers (e.g., GLM via z.ai)
that don't support Claude model names.
Fixes#51
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Problem: Features with NULL values in passes/in_progress fields caused
Pydantic validation errors in the API.
Solution - defense in depth:
1. Database model: Add nullable=False to passes and in_progress columns
2. Migration: Auto-fix existing NULL values to False on database connect
3. API layer: Handle NULL gracefully in feature_to_response (treat as False)
4. MCP server: Explicitly set in_progress=False when creating features
This ensures:
- New databases cannot have NULL boolean fields
- Existing databases are auto-migrated on connect
- Even if NULL values exist, they're handled gracefully at runtime
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Changes:
- Write system prompts to CLAUDE.md file instead of passing inline
- Use setting_sources=["project"] to load prompts from file
- Affects spec_chat_session.py and assistant_chat_session.py
Why:
- Windows has ~8191 character command line limit
- System prompts (e.g., create-spec.md at ~19KB) exceeded this limit
- The SDK serializes system_prompt as a CLI argument
- Writing to file and using setting_sources bypasses the limit
This completes the fix for GitHub issue #33 (Windows "Command Line Too Long").
The previous commit removed **os.environ from MCP configs; this commit
addresses the larger system prompt issue.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
