Milestones
Overview
The project is divided into four major milestones, each building on the previous:
- Milestone 1: Foundation - Core infrastructure and basic functionality
- Milestone 2: Security - Sandboxing and security hardening
- Milestone 3: Scale - Performance optimization and enterprise features
- Milestone 4: Ecosystem - Plugin system and community tools
Timeline
Month: 1 2 3 4 5 6 7 8 9 10 11 12
├────┴────┤
│ M1 │
├────┴────┤
│ M2 │
├────┴────┤
│ M3 │
├────┴────┤
│ M4 │
Milestone 1: Foundation (Months 1-2)
Goal: Working prototype with basic functionality
Deliverables:
- Project scaffolding and CI/CD
- Core types and domain models
- Basic LLM provider integration (OpenAI)
- REST API with conversation endpoints
- Simple in-process code execution
- PostgreSQL persistence
- Docker deployment
Success Criteria:
- Can send prompts and receive responses
- Conversations persist across restarts
- API documented and testable
- Basic observability in place
Milestone 2: Security (Months 3-4)
Goal: Production-ready security
Deliverables:
- WASM sandbox implementation
- gVisor container sandbox
- Authentication system (API keys + JWT)
- Authorization and permissions
- Comprehensive audit logging
- Input/output validation and sanitization
- Rate limiting and resource quotas
- Security documentation and threat model review
Success Criteria:
- All code execution sandboxed
- No secrets exposed to sandboxes
- Complete audit trail
- Pass security review checklist
- Load tested with quotas enforced
Milestone 3: Scale (Months 5-6)
Goal: Enterprise-ready performance and reliability
Deliverables:
- Multi-tenant support
- Horizontal scaling with worker pool
- Multiple LLM provider support
- Conversation context optimization
- Advanced caching strategies
- Streaming responses
- WebSocket support
- Kubernetes deployment manifests
- Load testing and performance tuning
Success Criteria:
- Handle 1000+ concurrent conversations
- Sub-100ms p95 latency for simple requests
- Graceful degradation under load
- 99.9% uptime target
Milestone 4: Ecosystem (Months 7-8)
Goal: Extensible platform with community support
Deliverables:
- Plugin architecture for custom tools
- Tool registry and marketplace concept
- Advanced CLI with scripting support
- SDK for Rust integration
- Python bindings
- Example applications and tutorials
- Plugin development documentation
- Community Discord/forum
Success Criteria:
- Third-party tool plugins possible
- Clear documentation for plugin authors
- Multiple example applications
- Active community engagement
Stretch Goals
Beyond Milestone 4
- Federation: Cross-instance communication
- Federated Learning: Privacy-preserving model improvements
- Model Fine-tuning: Custom model training pipeline
- Mobile SDK: iOS and Android support
- Desktop Application: Electron/Tauri GUI
Risk Assessment
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Sandbox vulnerabilities | Medium | Critical | Regular security audits, defense in depth |
| LLM API changes | High | Medium | Abstraction layer, multiple providers |
| Performance issues | Medium | High | Early load testing, profiling |
| Scope creep | High | Medium | Strict milestone boundaries |
| Contributor burnout | Medium | Medium | Sustainable pace, clear documentation |
Success Metrics
Technical Metrics
- Response time: p95 < 500ms for simple requests
- Availability: 99.9% uptime
- Security: Zero critical vulnerabilities in production
- Test coverage: > 80% code coverage
Adoption Metrics
- GitHub stars: Target 1k by month 6
- Active users: 100+ by month 8
- Plugins created: 10+ community plugins by month 8
- Contributors: 5+ external contributors by month 8
Review Process
At the end of each milestone:
- Demo to stakeholders
- Retrospective on what went well/what didn’t
- Security review of new features
- Performance benchmark comparison
- Documentation review and updates
- Roadmap adjustment based on learnings