docs/ROADMAP.md

# Development Roadmap

## Week 1-2: Foundation ✅ COMPLETE
- [x] Environment setup on Hugging Face Spaces
- [x] Project structure creation
- [x] Triage Agent implementation
- [x] Basic Gradio interface
- [x] Sample dataset preparation

## Week 3-4: Assignment Agent 🔄 IN PROGRESS
- [ ] Developer expertise modeling from Git history
- [ ] Workload tracking system
- [ ] Assignment algorithm (graph-based matching)
- [ ] Integration with Triage Agent
- [ ] Testing with sample developer profiles

## Week 5-6: Resolution Agent ⏳ PLANNED
- [ ] Fine-tune BERT on historical bug data
- [ ] Implement RAG pipeline with Qdrant
- [ ] Build solution recommendation logic
- [ ] Integrate with knowledge graph
- [ ] Create solution feedback loop

## Week 7-8: Analytics Agent ⏳ PLANNED
- [ ] Metrics collection system
- [ ] Dashboard creation (Gradio + Plotly)
- [ ] Predictive analytics for capacity planning
- [ ] Performance benchmarking
- [ ] A/B testing framework

## Week 9-10: FastAPI Backend ⏳ PLANNED
- [ ] REST API endpoints for all agents
- [ ] Authentication and authorization
- [ ] Rate limiting and caching
- [ ] API documentation (Swagger)
- [ ] Integration tests

## Week 11-12: External Integrations ⏳ PLANNED
- [ ] JIRA API integration
- [ ] GitHub Issues integration
- [ ] Slack notifications
- [ ] Webhook support
- [ ] OAuth implementation

## Week 13-14: Production Deployment ⏳ PLANNED
- [ ] Docker containerization
- [ ] Kubernetes manifests
- [ ] CI/CD pipeline (GitHub Actions)
- [ ] Monitoring setup (Prometheus/Grafana)
- [ ] Load testing

## Week 15+: Optimization & Scaling ⏳ FUTURE
- [ ] GPU support for faster inference
- [ ] Model quantization
- [ ] Distributed processing
- [ ] Multi-language support
- [ ] Enterprise features

## GPU Requirements

**Current Phase (1-2)**: CPU sufficient ✅  
**Phase 3-4**: GPU recommended for:
- Fine-tuning BERT models
- Large-scale embedding generation
- Real-time inference at scale

**Recommendation**: Apply for Hugging Face GPU grant in Phase 2 for Phase 3 work.