Autonomous Orchestration System - Deliverables Checklist
Project: CODITECT V2 Autonomous Execution Created: December 18, 2025 Timeline: 8 weeks (Jan 1 - Feb 26, 2026) Budget: $51,600 engineering + $200 infrastructure
Documentation Deliverables (COMPLETE ✅)
Planning Documents
-
AUTONOMOUS-ORCHESTRATION-PLAN.md (60K+ words)
- Complete 8-week implementation plan
- 5 core scripts specification
- Database schema extensions
- Risk mitigation strategies
- Success metrics and KPIs
- Location:
/docs/project-management/
-
ORCHESTRATION-IMPLEMENTATION-SUMMARY.md (Quick reference)
- 5 core scripts with code examples
- Configuration file structures
- Testing checklist
- Quick start commands
- Location:
/docs/project-management/
-
ORCHESTRATION-ARCHITECTURE-DIAGRAM.md (Visual reference)
- System overview diagram
- Component flow diagrams
- Dependency resolution flow
- State machine diagrams
- Location:
/docs/project-management/
Code Deliverables (8 Weeks)
Phase 1: Foundation (Weeks 1-2)
1. scripts/sync-daemon.py
Status: ⏸️ Not started Priority: P0 (Week 1, Days 1-3) Hours: 24h Dependencies: None Success Criteria:
- Watches V2-TASKLIST-WITH-CHECKBOXES.md for changes
- Polls context.db for updates every 5 seconds
- Syncs markdown → DB within 5 seconds of change
- Syncs DB → markdown within 5 seconds of change
- Runs as daemon process (systemd service)
- Graceful shutdown on SIGTERM
Key Features:
# File watching
from watchdog.observers import Observer
# Database polling
import sqlite3
# Debouncing
import time
from threading import Timer
# Existing sync logic
from sync_project_plan import ProjectPlanSync
Testing:
- Unit test: File change triggers sync
- Unit test: DB change triggers sync
- Integration test: Bidirectional sync works
- Load test: 100 rapid changes handled
2. scripts/task-dispatcher.py
Status: ⏸️ Not started Priority: P0 (Week 1, Days 4-5) Hours: 16h Dependencies: sync-daemon.py operational Success Criteria:
- Queries database for pending tasks
- Correctly assigns 10 test tasks to agents
- Respects priority order (P0 > P1 > P2)
- Checks dependencies before dispatching
- Returns 'no tasks available' when queue empty
Agent Mappings:
AGENT_MAPPINGS = {
r'infrastructure|deployment|docker|kubernetes': 'devops-engineer',
r'security|authentication|oauth|jwt': 'security-specialist',
r'api|endpoint|backend': 'backend-development',
r'ui|frontend|component|react': 'frontend-development-agent',
# ... 20+ more mappings
}
Testing:
- Unit test: Pattern matching works for 20 patterns
- Unit test: Priority ordering correct
- Integration test: Assigns 10 tasks correctly
3. scripts/agent-executor.py
Status: ⏸️ Not started Priority: P0 (Week 2, Days 1-3) Hours: 32h Dependencies: task-dispatcher.py operational Success Criteria:
- Executes tasks via Claude Code API
- Updates task status (pending → in_progress → completed)
- Logs execution results to agent_execution_log table
- Handles timeouts (2-hour max)
- Retries failed tasks (max 3 attempts)
- Parses agent output for success/failure
Claude Code Integration:
from anthropic import Anthropic
client = Anthropic()
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=8000,
messages=[{"role": "user", "content": prompt}]
)
Testing:
- Unit test: Status updates work
- Unit test: Timeout triggers after 2 hours
- Integration test: Complete 1 real task (T001.001)
4. Integration Testing (Week 2, Days 4-5)
Status: ⏸️ Not started Priority: P0 Hours: 16h Dependencies: All Phase 1 scripts complete Success Criteria:
- End-to-end test: markdown → DB → dispatch → execute → complete
- End-to-end test: 3 tasks complete autonomously
- Performance test: <5s dispatch latency
- Error test: Failed task retries correctly
Test Suite:
python3 scripts/test-suite.py -c orchestration
Phase 2: Orchestration (Weeks 3-4)
5. scripts/autonomous-orchestrator.py
Status: ⏸️ Not started Priority: P0 (Week 3, Days 1-4) Hours: 40h Dependencies: Phase 1 complete Success Criteria:
- Main control loop runs continuously
- Starts/stops sync daemon
- Manages 5 concurrent agent executors
- Monitors agent completion
- Creates checkpoints at epic completion
- Provides real-time metrics
Control Loop:
while self.running:
# 1. Get next task
# 2. Spawn executor
# 3. Monitor active agents
# 4. Retry failed tasks
# 5. Check milestones
# 6. Update metrics
time.sleep(1)
Testing:
- Unit test: Control loop logic
- Integration test: 5 concurrent agents
- Load test: 100 tasks in queue
6. scripts/dependency-resolver.py
Status: ⏸️ Not started Priority: P1 (Week 3, Day 5 - Week 4, Day 2) Hours: 24h Dependencies: autonomous-orchestrator.py operational Success Criteria:
- Parses dependencies from task descriptions
- Builds directed acyclic graph (DAG)
- Detects circular dependencies
- Blocks tasks with unmet dependencies
- Unblocks tasks when dependencies complete
Dependency Patterns:
# Parse: "after T001.009", "depends on T008.001"
pattern = r'T\d{3}\.\d{3}'
Testing:
- Unit test: Dependency parsing
- Unit test: Cycle detection
- Integration test: Task B waits for Task A
7. Progress Dashboard (Week 4, Days 3-5)
Status: ⏸️ Not started Priority: P1 Hours: 24h Dependencies: autonomous-orchestrator.py operational Success Criteria:
- Real-time web UI shows task progress
- WebSocket updates every 1 second
- Displays epic/feature completion %
- Shows active agents
- Recent activity log
Tech Stack:
- FastAPI (backend)
- WebSockets (real-time)
- Vue.js (frontend)
Testing:
- UI test: Dashboard loads
- WebSocket test: Updates in real-time
Phase 3: Advanced Features (Weeks 5-6)
8. Circuit Breaker & Retry Logic (Week 5, Days 1-2)
Status: ⏸️ Not started Priority: P1 Hours: 16h Dependencies: autonomous-orchestrator.py operational Success Criteria:
- Implements PyBreaker pattern
- Exponential backoff (1s, 2s, 4s, 8s, 16s)
- Circuit opens after 5 consecutive failures
- Circuit half-opens after 60 seconds
- Circuit closes after 2 successful retries
Implementation:
from pybreaker import CircuitBreaker
breaker = CircuitBreaker(fail_max=5, timeout=60)
@breaker
def execute_task(task_id):
# ... execution logic
Testing:
- Unit test: Circuit breaker logic
- Integration test: Recovers from 10 failures
9. Prometheus Metrics Integration (Week 5, Days 3-5)
Status: ⏸️ Not started Priority: P1 Hours: 24h Dependencies: autonomous-orchestrator.py operational Success Criteria:
- Exposes /metrics endpoint on port 9090
- Tracks task completion counter
- Tracks active agents gauge
- Tracks dispatch latency histogram
- Prometheus scrapes metrics every 15s
Metrics:
from prometheus_client import Counter, Gauge, Histogram
tasks_completed = Counter('coditect_tasks_completed', 'Tasks completed')
active_agents = Gauge('coditect_active_agents', 'Active agents')
dispatch_latency = Histogram('coditect_dispatch_latency_seconds', 'Dispatch latency')
Testing:
- Metrics test: /metrics endpoint returns data
- Grafana test: Dashboard shows live data
10. Configuration Management (Week 6, Days 1-2)
Status: ⏸️ Not started Priority: P1 Hours: 16h Dependencies: autonomous-orchestrator.py operational Success Criteria:
- config/orchestrator-config.json created
- Environment-specific configs (dev/staging/prod)
- Runtime configuration reload (SIGHUP)
- Validation on config load
Config File:
{
"orchestrator": {
"max_concurrent_agents": 5,
"max_retries": 3
},
"agent_mappings": { ... }
}
Testing:
- Config test: Loads correctly
- Config test: Validates schema
- Config test: Reloads on SIGHUP
11. User Documentation (Week 6, Days 3-5)
Status: ⏸️ Not started Priority: P1 Hours: 24h Dependencies: All scripts operational Success Criteria:
- AUTONOMOUS-ORCHESTRATION-GUIDE.md complete
- Deployment runbook created
- Troubleshooting playbook created
- API reference documented
Sections:
- Introduction
- Quick Start
- Architecture
- Configuration
- Operations
- Agent Mappings
- Dependency Management
- Monitoring
- Troubleshooting
- API Reference
Testing:
- Doc review: Technical accuracy
- Doc review: User clarity
Phase 4: Deployment & Validation (Weeks 7-8)
12. GKE Production Deployment (Week 7, Days 1-3)
Status: ⏸️ Not started Priority: P0 Hours: 32h Dependencies: All scripts tested in dev Success Criteria:
- Docker image built and pushed to GCR
- Kubernetes deployment created
- Redis service deployed
- PVC for context.db created
- ConfigMap for config.json created
- LoadBalancer service configured
- Health checks passing
Kubernetes Manifests:
deployment/orchestrator-deployment.yamldeployment/redis-deployment.yamldeployment/orchestrator-service.yamldeployment/orchestrator-configmap.yaml
Testing:
- Deployment test: Pods running
- Health test: /health endpoint returns 200
- Integration test: End-to-end in production
13. Load Testing (Week 7, Days 4-5)
Status: ⏸️ Not started Priority: P1 Hours: 16h Dependencies: Production deployment complete Success Criteria:
- Simulates 100+ concurrent tasks
- Validates <5s dispatch latency at p95
- Validates system handles 10 concurrent agents
- No memory leaks after 1-hour run
- No database lock errors
Load Test Script:
# scripts/load-test-orchestrator.py
for i in range(100):
create_test_task(f"LOAD_TEST_{i}")
# Measure dispatch latency
```text
**Testing:**
- [ ] Load test: 100 tasks dispatched in <5 minutes
- [ ] Load test: p95 latency <5s
- [ ] Load test: No errors during 1-hour run
---
#### 14. Security Audit (Week 8, Days 1-2)
**Status:** ⏸️ Not started
**Priority:** P1
**Hours:** 16h
**Dependencies:** Production deployment complete
**Success Criteria:**
- [ ] Agent execution isolation verified
- [ ] Database access controls validated
- [ ] No credentials in logs
- [ ] API authentication enforced
- [ ] RBAC policies in Kubernetes
**Audit Checklist:**
- [ ] Review agent execution sandboxing
- [ ] Review database access (least privilege)
- [ ] Review log redaction (secrets masked)
- [ ] Review API authentication (JWT)
- [ ] Review K8s RBAC (pod security policies)
**Testing:**
- [ ] Security test: Agent cannot access unrelated files
- [ ] Security test: Database access requires auth
- [ ] Security test: Logs contain no secrets
---
#### 15. Final Validation (Week 8, Days 3-5)
**Status:** ⏸️ Not started
**Priority:** P0
**Hours:** 24h
**Dependencies:** All systems operational
**Success Criteria:**
- [ ] Execute 10 real V2 tasks autonomously
- [ ] Measure success rate (target: 95%+)
- [ ] Measure average task completion time
- [ ] Validate sync remains in sync (no drift)
- [ ] Validate monitoring shows accurate data
**Validation Tasks:**
- T001.005: Create component discovery service
- T001.006: Implement capability-based agent discovery
- T008.003: Setup DNS A record for auth.coditect.ai
- T008.004: Activate SSL certificate
- ... 6 more
**Testing:**
- [ ] Validation test: 10 tasks complete successfully
- [ ] Validation test: 95%+ success rate
- [ ] Validation test: <5s dispatch latency
---
## Database Deliverables
### 1. scripts/init-orchestrator-schema.sql
**Status:** ⏸️ Not started
**Priority:** P0 (Week 1)
**Success Criteria:**
- [ ] Creates task_dependencies table
- [ ] Creates orchestrator_state table
- [ ] Creates agent_execution_log table
- [ ] Enables WAL mode for concurrency
- [ ] Creates all indexes
**Tables:**
```sql
CREATE TABLE task_dependencies (
dependency_id INTEGER PRIMARY KEY,
task_id TEXT,
dependency_task_id TEXT,
...
);
CREATE TABLE orchestrator_state (
state_id INTEGER PRIMARY KEY,
timestamp TEXT,
active_agents INTEGER,
...
);
CREATE TABLE agent_execution_log (
log_id INTEGER PRIMARY KEY,
task_id TEXT,
agent_type TEXT,
...
);
Configuration Deliverables
1. config/orchestrator-config.json
Status: ⏸️ Not started Priority: P1 (Week 6) Success Criteria:
- Defines orchestrator settings
- Defines agent mappings (20+ patterns)
- Defines monitoring settings
- Defines logging settings
- Validates on load (JSON schema)
Example:
{
"version": "1.0.0",
"orchestrator": {
"max_concurrent_agents": 5,
"max_retries": 3,
"checkpoint_interval_tasks": 10
},
"agent_mappings": {
"infrastructure|deployment": "devops-engineer",
...
}
}
Deployment Deliverables
1. deployment/orchestrator-deployment.yaml
Status: ⏸️ Not started Priority: P0 (Week 7) Success Criteria:
- Kubernetes Deployment manifest
- Single replica (SQLite limitation)
- PVC for context.db
- ConfigMap mount for config.json
- Environment variables configured
- Resource limits set
2. deployment/redis-deployment.yaml
Status: ⏸️ Not started Priority: P0 (Week 7) Success Criteria:
- Redis StatefulSet manifest
- Persistent storage for queue data
- Service definition (port 6379)
3. deployment/orchestrator-service.yaml
Status: ⏸️ Not started Priority: P0 (Week 7) Success Criteria:
- LoadBalancer service type
- Port 9090 exposed for metrics
- Health check endpoint configured
Monitoring Deliverables
1. Prometheus Metrics
Status: ⏸️ Not started Priority: P1 (Week 5) Success Criteria:
- coditect_tasks_total counter
- coditect_tasks_completed counter
- coditect_tasks_failed counter
- coditect_active_agents gauge
- coditect_dispatch_latency_seconds histogram
- coditect_orchestrator_uptime_seconds gauge
2. Grafana Dashboard
Status: ⏸️ Not started Priority: P1 (Week 5) Success Criteria:
- Task completion rate panel
- Active agents panel
- Dispatch latency panel (p50, p95, p99)
- Failure rate panel
- Epic progress panel
3. Alerting Rules
Status: ⏸️ Not started Priority: P1 (Week 5) Success Criteria:
- HighTaskFailureRate (>10% for 5 min)
- OrchestratorDown (service unavailable)
- DispatchLatencyHigh (p95 >5s for 5 min)
Testing Deliverables
1. Unit Tests
Status: ⏸️ Not started Priority: P0 (Week 2) Success Criteria:
- tests/test_sync_daemon.py (10+ tests)
- tests/test_task_dispatcher.py (15+ tests)
- tests/test_agent_executor.py (12+ tests)
- tests/test_dependency_resolver.py (8+ tests)
- tests/test_orchestrator.py (10+ tests)
- 80%+ code coverage
2. Integration Tests
Status: ⏸️ Not started Priority: P0 (Week 4) Success Criteria:
- tests/integration/test_end_to_end.py
- tests/integration/test_dependency_blocking.py
- tests/integration/test_concurrent_execution.py
- tests/integration/test_failure_recovery.py
3. Load Tests
Status: ⏸️ Not started Priority: P1 (Week 7) Success Criteria:
- scripts/load-test-orchestrator.py
- Simulates 100+ tasks
- Validates <5s p95 latency
- Reports: CPU, memory, database load
Documentation Deliverables
1. User Guide
Status: ⏸️ Not started Priority: P1 (Week 6) Location: docs/02-user-guides/AUTONOMOUS-ORCHESTRATION-GUIDE.md Success Criteria:
- 10 sections covering all aspects
- Quick start guide (5 minutes)
- Configuration reference
- Operations guide (start/stop/monitor)
- Troubleshooting playbook
2. Deployment Runbook
Status: ⏸️ Not started Priority: P1 (Week 6) Location: docs/07-deployment/ORCHESTRATOR-DEPLOYMENT-RUNBOOK.md Success Criteria:
- Pre-deployment checklist
- Step-by-step deployment instructions
- Post-deployment validation
- Rollback procedures
3. API Reference
Status: ⏸️ Not started Priority: P1 (Week 6) Location: docs/08-agent-reference/ORCHESTRATOR-API-REFERENCE.md Success Criteria:
- REST API endpoints documented
- Request/response examples
- Error codes reference
- Authentication guide
Success Metrics (KPIs)
Primary Metrics
- Autonomy Rate: 95%+ (tasks completed without human intervention)
- Dispatch Latency: <5s p95
- Task Throughput: 10/hour
- Success Rate: 95%+ (completed / (completed + failed))
- Uptime: 99.9%
Secondary Metrics
- Average task completion time: <4 hours
- Agent utilization rate: >70%
- Sync operations per hour: <100
- Checkpoint frequency: Every 10 tasks
Budget Summary
| Category | Hours | Cost @ $150/h |
|---|---|---|
| Phase 1: Foundation | 88h | $13,200 |
| Phase 2: Orchestration | 88h | $13,200 |
| Phase 3: Advanced Features | 80h | $12,000 |
| Phase 4: Deployment | 88h | $13,200 |
| Total | 344h | $51,600 |
Infrastructure: $200 (Redis, Prometheus, Grafana for 2 months) Grand Total: $51,800
Timeline Summary
| Week | Phase | Key Deliverable | Hours |
|---|---|---|---|
| 1 | Foundation | sync-daemon.py + task-dispatcher.py | 40h |
| 2 | Foundation | agent-executor.py + integration tests | 48h |
| 3 | Orchestration | autonomous-orchestrator.py | 40h |
| 4 | Orchestration | dependency-resolver.py + dashboard | 48h |
| 5 | Advanced | Circuit breaker + Prometheus metrics | 40h |
| 6 | Advanced | Configuration + documentation | 40h |
| 7 | Deployment | GKE deploy + load testing | 48h |
| 8 | Deployment | Security audit + final validation | 40h |
Total: 344 hours over 8 weeks
Risk Mitigation Summary
| Risk | Mitigation |
|---|---|
| Database corruption | Automatic backups every 6h + WAL mode |
| Agent timeout | 2-hour timeout with auto-kill |
| Circular dependencies | Cycle detection on creation |
| Sync conflicts | Checksums + manual reconciliation tool |
| Rate limits | Queue backoff + 5 concurrent max |
| Production downtime | Blue-green deployment + rollback procedures |
Next Steps (Immediate)
This Week (Dec 18-22):
- Review & Approve - Stakeholder sign-off on plan
- Setup Dev Environment
sqlite3 context.db < scripts/init-orchestrator-schema.sql
docker run -d -p 6379:6379 redis:7-alpine
cp config/orchestrator-config.example.json config/orchestrator-config.json - Start Week 1 Implementation
- Create sync-daemon.py skeleton
- Implement file watching logic
- Test with 5 sample tasks
Week 1 Goals:
- sync-daemon.py functional (watches markdown + DB)
- task-dispatcher.py assigns 10 test tasks correctly
- Unit tests passing (20+ tests)
- Team demo: Show bidirectional sync working
Created: December 18, 2025 Status: Ready for Implementation See Full Plan: AUTONOMOUS-ORCHESTRATION-PLAN.md See Summary: ORCHESTRATION-IMPLEMENTATION-SUMMARY.md See Architecture: ORCHESTRATION-ARCHITECTURE-DIAGRAM.md