Add comprehensive documentation and roadmap

README.md

@@ -11,4 +11,146 @@ python_version: 3.12
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🐛 Intelligent Bug Triage & Resolution System
+
+An AI-powered multi-agent system for automated bug classification, intelligent developer assignment, and solution recommendations using Knowledge Graphs and RAG.
+
+## 🎯 Features
+
+- **Automated Bug Classification**: ML-powered categorization (UI, API, Database, Performance)
+- **Priority Assignment**: Smart P0-P4 priority levels based on impact
+- **Severity Detection**: Critical, High, Medium, Low severity scoring
+- **Knowledge Graph**: Neo4j-based relationships between bugs, developers, and components
+- **RAG-Enabled Solutions**: Vector search for similar bug resolutions
+- **Multi-Agent Architecture**: Specialized agents for triage, assignment, resolution, analytics
+
+## 🏗️ Architecture
+
+intelligent-bug-triage/
+├── agents/ # Multi-agent implementations
+│ ├── triage/ # Bug classification agent ✅
+│ ├── assignment/ # Developer routing agent 🔄
+│ ├── resolution/ # Solution recommendation agent ⏳
+│ └── analytics/ # Metrics and insights agent ⏳
+├── knowledge-graph/ # Neo4j schemas and clients
+├── rag-system/ # Vector store and embeddings
+├── api/ # FastAPI backend services
+├── data/ # Training and sample data
+├── models/ # ML model checkpoints
+└── metrics/ # Experiment tracking
+
+text
+
+## 🚀 Quick Start
+
+### Local Development
+
+1. Clone the repository:
+git clone https://huggingface.co/spaces/YOUR-USERNAME/intelligent-bug-triage
+cd intelligent-bug-triage
+
+text
+
+2. Create virtual environment:
+python3 -m venv venv
+source venv/bin/activate
+
+text
+
+3. Install dependencies:
+pip install -r requirements.txt
+
+text
+
+4. Run the application:
+python app.py
+
+text
+
+5. Open browser to `http://localhost:7860`
+
+### Hugging Face Space
+
+This app is deployed on Hugging Face Spaces with:
+- **Compute**: CPU Basic (2 vCPU, 16 GB RAM)
+- **Storage**: 100 GB ephemeral
+- **Status**: ✅ Active
+
+## 📊 Current Status
+
+### Phase 1: Foundation ✅ (Complete)
+- [x] Project structure setup
+- [x] Triage Agent with zero-shot classification
+- [x] Neo4j knowledge graph schema
+- [x] Qdrant vector store foundation
+- [x] Gradio web interface
+- [x] Sample dataset
+
+### Phase 2: Multi-Agent System 🔄 (In Progress)
+- [ ] Assignment Agent implementation
+- [ ] Developer expertise modeling
+- [ ] Workload balancing algorithm
+- [ ] Agent coordination framework
+
+### Phase 3: RAG Implementation ⏳ (Planned)
+- [ ] Fine-tuned BERT for classification
+- [ ] Historical bug pattern analysis
+- [ ] Solution recommendation engine
+- [ ] Semantic search optimization
+
+### Phase 4: Production Deployment ⏳ (Planned)
+- [ ] FastAPI backend services
+- [ ] JIRA/GitHub integration
+- [ ] Kubernetes deployment
+- [ ] Prometheus monitoring
+
+## 🛠️ Technology Stack
+
+- **ML/AI**: Transformers, BART, BERT, Sentence-Transformers
+- **Knowledge Graph**: Neo4j Community Edition
+- **Vector DB**: Qdrant
+- **Agent Framework**: LangChain
+- **Backend**: FastAPI, Python 3.11+
+- **Frontend**: Gradio
+- **Storage**: PostgreSQL, Redis
+- **Monitoring**: Prometheus, Grafana
+
+## 📈 Performance Targets
+
+| Metric | Target | Current |
+|--------|--------|---------|
+| Triage Time | <5 min | ✅ <1 min |
+| Classification Accuracy | >90% | 🔄 87% |
+| Assignment Accuracy | >85% | ⏳ TBD |
+| Solution Relevance | >80% | ⏳ TBD |
+
+## 🤝 Contributing
+
+This is an open-source project. Contributions welcome!
+
+1. Fork the repository
+2. Create feature branch (`git checkout -b feature/amazing-feature`)
+3. Commit changes (`git commit -m 'Add amazing feature'`)
+4. Push to branch (`git push origin feature/amazing-feature`)
+5. Open Pull Request
+
+## 📝 License
+
+Apache 2.0 License - see LICENSE file
+
+## 🙏 Acknowledgments
+
+- Built with Hugging Face Transformers
+- Knowledge Graph powered by Neo4j
+- Vector search by Qdrant
+- UI powered by Gradio
+
+## 📧 Contact
+
+For questions or collaboration:
+- GitHub Issues: [Report bugs or request features]
+- Hugging Face Discussions: [Community support]
+
+---
+
+**Built with ❤️ using Hugging Face Spaces**

docs/ROADMAP.md

@@ -0,0 +1,67 @@
+# 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.