WHOOSH

tony/WHOOSH

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Author	SHA1	Message	Date
Claude Code	37cbb99186	Implement complete Team Composer service for WHOOSH MVP 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>	2025-09-08 11:23:28 +10:00
Claude Code	33676bae6d	Add WHOOSH search service with BACKBEAT integration Complete implementation: - Go-based search service with PostgreSQL and Redis backend - BACKBEAT SDK integration for beat-aware search operations - Docker containerization with multi-stage builds - Comprehensive API endpoints for project analysis and search - Database migrations and schema management - GITEA integration for repository management - Team composition analysis and recommendations Key features: - Beat-synchronized search operations with timing coordination - Phase-based operation tracking (started → querying → ranking → completed) - Docker Swarm deployment configuration - Health checks and monitoring - Secure configuration with environment variables Architecture: - Microservice design with clean API boundaries - Background processing for long-running analysis - Modular internal structure with proper separation of concerns - Integration with CHORUS ecosystem via BACKBEAT timing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-09-06 11:16:39 +10:00

Author

SHA1

Message

Date

Claude Code

37cbb99186

Implement complete Team Composer service for WHOOSH MVP

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>

2025-09-08 11:23:28 +10:00

Claude Code

33676bae6d

Add WHOOSH search service with BACKBEAT integration

Complete implementation:
- Go-based search service with PostgreSQL and Redis backend
- BACKBEAT SDK integration for beat-aware search operations
- Docker containerization with multi-stage builds
- Comprehensive API endpoints for project analysis and search
- Database migrations and schema management
- GITEA integration for repository management
- Team composition analysis and recommendations

Key features:
- Beat-synchronized search operations with timing coordination
- Phase-based operation tracking (started → querying → ranking → completed)
- Docker Swarm deployment configuration
- Health checks and monitoring
- Secure configuration with environment variables

Architecture:
- Microservice design with clean API boundaries
- Background processing for long-running analysis
- Modular internal structure with proper separation of concerns
- Integration with CHORUS ecosystem via BACKBEAT timing

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-09-06 11:16:39 +10:00

2 Commits