Project Plan Summary
Project Plan Summary
.claude Framework: 78% → 100% Autonomous Operation
Created: 2025-11-13 Duration: 8 weeks Total Effort: 320 hours Team Size: 2 engineers + 1 DevOps (part-time)
Quick Overview
This plan transforms the .claude automation framework from human-in-the-loop orchestration (78% complete) to fully autonomous operation (100% complete) where agents communicate without human intervention.
4 Phases
-
Phase 1: Foundation (Weeks 1-2) - P0 CRITICAL
- Agent Discovery Service
- Message Bus (RabbitMQ)
- Task Queue Manager
- Milestone: First autonomous workflow works
-
Phase 2: Resilience (Weeks 3-4) - P0 CRITICAL
- Circuit Breaker Service
- Retry Policy Engine
- Distributed State Manager
- Milestone: System handles failures gracefully
-
Phase 3: Observability (Weeks 5-6) - P1 HIGH
- Metrics Collection (Prometheus)
- Distributed Tracing (Jaeger)
- Structured Logging (Loki)
- Grafana Dashboards
- Milestone: Full observability operational
-
Phase 4: Polish (Weeks 7-8) - P1 MEDIUM
- CLI Integration
- API Documentation
- Deployment Automation
- Load Testing
- Milestone: Production-ready system
Key Deliverables
Week 2 Milestone
- Agents can discover each other
- Agents can send/receive tasks via message bus
- Tasks enqueued with dependencies
- First autonomous multi-agent workflow: orchestrator → agent A → agent B → result
Week 4 Milestone
- Circuit breakers prevent cascading failures
- Tasks automatically retry (3 attempts with exponential backoff)
- State syncs across nodes via S3
- System recovers from failures within 60 seconds
Week 6 Milestone
- Prometheus scraping metrics from all services
- Jaeger showing end-to-end traces
- Loki aggregating structured logs
- Grafana dashboards operational
Week 8 Milestone
- System handles 100+ concurrent tasks
- All documentation published
- CI/CD pipeline operational
- Production deployment successful
Success Metrics (Final)
| Metric | Current | Target | Status |
|---|---|---|---|
| Autonomy | 0% | 95% | ⏸️ TODO |
| Latency | N/A | <5s | ⏸️ TODO |
| Throughput | 1 task/min | 100 tasks/min | ⏸️ TODO |
| Reliability | N/A | 99.9% uptime | ⏸️ TODO |
| Recovery Time | N/A | <60s | ⏸️ TODO |
| Test Coverage | 0% | 80%+ | ⏸️ TODO |
Resource Requirements
Team:
- 2x Full-Stack Engineers (Python, async/await, distributed systems)
- 1x DevOps Engineer (part-time, weeks 1-2 and 7-8)
Infrastructure:
- RabbitMQ cluster (3 nodes, HA)
- Redis cluster (3 nodes, HA)
- PostgreSQL 15+ (existing)
- S3 bucket (state backups)
- Prometheus + Grafana + Jaeger stack
- Staging environment
Budget:
- Infrastructure: $1,000 (8 weeks)
- Monitoring tools: $400 (8 weeks)
- Total: ~$1,400
Task Breakdown
Total Tasks: 135+
- Phase 1: 40 tasks (80 hours)
- Phase 2: 35 tasks (80 hours)
- Phase 3: 30 tasks (80 hours)
- Phase 4: 30 tasks (80 hours)
Task Format
All tasks follow this structure:
- Task X.Y.Z: Description (N hours)
- Sub-task 1
- Sub-task 2
- Sub-task 3
- Acceptance: Clear criteria
Critical Path
Week 1-2: Infrastructure Setup → Agent Discovery → Message Bus → Task Queue
↓
Week 3-4: Circuit Breaker → Retry Engine → Distributed State
↓
Week 5-6: Metrics → Tracing → Logging → Dashboards
↓
Week 7-8: CLI → Docs → Deployment → Load Testing → Production
Blockers:
- Phase 1 blocks everything (foundation)
- Phase 2 blocks Phase 4 (deployment needs resilience)
- Phase 3 can run in parallel with Phase 4
Risk Mitigation
Top 3 Risks
-
RabbitMQ performance bottleneck (Medium probability, High impact)
- Mitigation: Load test early (Week 2), replace with Kafka if needed
-
Production deployment failure (Medium probability, Critical impact)
- Mitigation: Phased rollout (10%/50%/100%), robust rollback plan
-
Team not trained on new system (High probability, High impact)
- Mitigation: Comprehensive docs (Week 7), hands-on training
Rollback Plan
If deployment fails:
- Route 100% traffic to old system (<5 min)
- Investigate root cause (1-2 hours)
- Fix and re-deploy
Weekly Progress Tracking
Create weekly report:
| Week | Phase | Key Tasks | Completion % | Blockers |
|---|---|---|---|---|
| 1 | Foundation | Infrastructure, Agent Discovery | 0% | - |
| 2 | Foundation | Message Bus, Task Queue | 0% | - |
| 3 | Resilience | Circuit Breaker, Retry Engine | 0% | - |
| 4 | Resilience | Distributed State, Testing | 0% | - |
| 5 | Observability | Metrics, Tracing | 0% | - |
| 6 | Observability | Logging, Dashboards | 0% | - |
| 7 | Polish | CLI, Docs, Deployment | 0% | - |
| 8 | Polish | Load Testing, Production | 0% | - |
Next Steps
Immediate Actions (This Week)
-
Review and Approve Plan (2 hours)
- Review ORCHESTRATOR-project-plan.md
- Get team approval
- Clarify any questions
-
Set Up Infrastructure (Day 1-2)
- Deploy RabbitMQ cluster
- Deploy Redis cluster
- Set up Docker Compose for local dev
- Create GitHub repo structure
-
Kick-off Meeting (1 hour)
- Review plan with team
- Assign Phase 1 tasks
- Set up weekly sync meeting
- Create Slack channel for updates
-
Begin Phase 1 (Day 3+)
- Engineer 1: Start Agent Discovery Service
- Engineer 2: Start Message Bus Implementation
- DevOps: Support infrastructure setup
Files to Reference
- ORCHESTRATOR-project-plan.md - Complete detailed plan (this file's companion)
- AUTONOMOUS-AGENT-SYSTEM-DESIGN.md - Architecture design document
- .claude/README.md - Current framework documentation
Contact
Questions about this plan?
- See detailed plan:
ORCHESTRATOR-project-plan.md - See architecture:
AUTONOMOUS-AGENT-SYSTEM-DESIGN.md - Contact: Project lead
Status: ✅ Ready to Execute Next Review: After Phase 1 completion (Week 2)
This is a summary. See ORCHESTRATOR-project-plan.md for complete task breakdown with checkboxes.