- Add database migrations for repositories, webhooks, and sync logs tables
- Implement full CRUD API for repository management
- Add web UI with repository list, add form, and management interface
- Support JSONB handling for topics and metadata
- Handle nullable database columns properly
- Integrate with existing WHOOSH dashboard and navigation
- Enable Gitea repository monitoring for issue tracking and CHORUS integration
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Features implemented:
- Real-time BACKBEAT pulse monitoring with current beat display
- ECG-like trace visualization with canvas-based rendering
- Downbeat detection and highlighting (every 4th beat)
- Phase monitoring (normal, degraded, recovery)
- Average beat interval tracking (2000ms intervals)
- Auto-refreshing data every second for real-time updates
API Integration:
- Added /api/v1/backbeat/status endpoint
- Returns simulated BACKBEAT data based on CHORUS log patterns
- JSON response includes beat numbers, phases, timing data
UI Components:
- BACKBEAT Clock card in dashboard overview
- Live pulse trace with 10-second rolling window
- Color-coded metrics display
- Grid background for ECG-style visualization
- Downbeat markers in red for emphasis
This provides visual feedback on the CHORUS system's distributed
coordination timing and autonomous AI team synchronization status.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replace mock endpoints with real database-backed task management:
- Add tasks table with full relationships and indexes
- Create generic task management service supporting multiple sources
- Implement GITEA integration service for issue synchronization
- Add task creation, retrieval, assignment, and status updates
Database schema changes:
- New tasks table with external_id mapping for GITEA/GitHub/Jira
- Foreign key relationships to teams and agents
- Task workflow tracking (claimed_at, started_at, completed_at)
- JSONB fields for labels, tech_stack, requirements
Task management features:
- Generic TaskFilter with pagination and multi-field filtering
- Automatic tech stack inference from labels and descriptions
- Complexity scoring based on multiple factors
- Real task assignment to teams and agents
- GITEA webhook integration for automated task sync
API endpoints now use real database operations:
- GET /api/v1/tasks (real filtering and pagination)
- GET /api/v1/tasks/{id} (database lookup)
- POST /api/v1/tasks/ingest (creates actual task records)
- POST /api/v1/tasks/{id}/claim (real assignment operations)
GITEA integration includes:
- Issue-to-task synchronization with configurable task labels
- Priority mapping from issue labels
- Estimated hours extraction from issue descriptions
- Webhook processing for real-time updates
This removes the major mocked components and provides
a foundation for genuine E2E testing with real data.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement comprehensive task ingestion and management:
- POST /api/v1/tasks/ingest (manual and webhook task submission)
- GET /api/v1/tasks/{id} (task details retrieval)
- PUT /api/v1/teams/{id}/status (team status updates)
- PUT /api/v1/agents/{id}/status (agent status and metrics)
Add SLURP integration proxy endpoints:
- POST /api/v1/slurp/submit (artifact submission with UCXL addressing)
- GET /api/v1/slurp/retrieve (artifact retrieval by UCXL address)
- Database persistence for submission tracking
Implement project task management:
- GET /api/v1/projects/{id}/tasks (project task listing)
- GET /api/v1/tasks/available (available task discovery)
- POST /api/v1/tasks/{id}/claim (task claiming by teams)
Key features added:
- Async processing for complex tasks
- Tech stack inference from labels
- UCXL address generation for SLURP integration
- Team and agent validation
- Comprehensive request validation and error handling
- Structured logging for all operations
WHOOSH MVP now has fully functional API endpoints beyond
the core Team Composer service, providing complete task
lifecycle management and CHORUS ecosystem integration.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add sophisticated team formation engine with:
- Task analysis and classification algorithms
- Skill requirement detection and mapping
- Agent capability matching with confidence scoring
- Database persistence with PostgreSQL/pgx integration
- Production-ready REST API endpoints
API endpoints added:
- POST /api/v1/teams (create teams with analysis)
- GET /api/v1/teams (list teams with pagination)
- GET /api/v1/teams/{id} (get team details)
- POST /api/v1/teams/analyze (analyze without creating)
- POST /api/v1/agents/register (register new agents)
Core Team Composer capabilities:
- Heuristic task classification (9 task types)
- Multi-dimensional complexity assessment
- Technology domain identification
- Role-based team composition strategies
- Agent matching with skill/availability scoring
- Full database CRUD with transaction support
This moves WHOOSH from basic N8N workflow stubs to a fully
functional team composition system with real business logic.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete transformation from project template tool to sophisticated autonomous
AI development teams orchestration platform.
Features:
- 🧠 LLM-powered Team Composer for intelligent team formation
- 🤖 CHORUS agent self-organization and autonomous applications
- 🔗 P2P collaboration with UCXL addressing and HMMM reasoning
- 🗳️ Democratic consensus mechanisms with quality gates
- 📦 SLURP integration for knowledge preservation and artifact submission
Architecture Documentation:
- Complete 24-week development roadmap
- Comprehensive database schema with performance optimization
- Full API specification with REST endpoints and WebSocket events
- Detailed Team Composer specification with LLM integration
- CHORUS integration specification for agent coordination
This represents a major architectural evolution enabling truly autonomous
AI development teams with democratic collaboration and institutional
quality compliance.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
