Autonomous Orchestration Implementation Summary

Quick Reference: Key deliverables and implementation order Companion Doc: AUTONOMOUS-ORCHESTRATION-PLAN.md (full 60K+ word spec) Created: December 18, 2025

5 Core Scripts (Priority Order)

1. scripts/sync-daemon.py

Purpose: Bidirectional markdown ↔ database synchronization Priority: P0 (Week 1, Days 1-3) Hours: 24h

Key Features:

File watcher on V2-TASKLIST-WITH-CHECKBOXES.md
Database polling (v2_tasks.updated_at)
Debounced sync (2s delay after change)
Uses existing sync-project-plan.py as library

Dependencies:

# Standard library only
import time
import threading
from pathlib import Path
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler

# Import existing sync logic
sys.path.append('submodules/core/coditect-core/scripts')
from sync_project_plan import ProjectPlanSync

Usage:

# Start daemon
python3 scripts/sync-daemon.py --start

# Foreground (debugging)
python3 scripts/sync-daemon.py --foreground

2. scripts/task-dispatcher.py

Purpose: Intelligent task assignment to specialized agents Priority: P0 (Week 1, Days 4-5) Hours: 16h

Key Functions:

def get_next_task(priority_filter='P0'):
    """Query database for next available task."""
    query = """
        SELECT * FROM v2_tasks
        WHERE status='pending'
          AND priority <= ?
        ORDER BY priority, created_at
        LIMIT 1
    """

def assign_task_to_agent(task):
    """Match task to agent via keyword mapping."""
    patterns = {
        r'infrastructure|deployment|docker|kubernetes': 'devops-engineer',
        r'security|authentication|oauth|jwt': 'security-specialist',
        r'api|endpoint|backend': 'backend-development',
        r'test|validation|coverage': 'testing-specialist',
        r'documentation|guide': 'codi-documentation-writer'
    }

    for pattern, agent_type in patterns.items():
        if re.search(pattern, task['description'], re.IGNORECASE):
            return agent_type

    return 'general-purpose'

Usage:

# Get next P0 task
python3 scripts/task-dispatcher.py --next --priority P0

# Show queue status
python3 scripts/task-dispatcher.py --status

3. scripts/agent-executor.py

Purpose: Execute tasks via specialized agents with status tracking Priority: P0 (Week 2, Days 1-3) Hours: 32h

Execution Flow:

class AgentExecutor:
    def execute(self, task_id):
        # 1. Mark task as in_progress
        self.update_status(task_id, 'in_progress')

        # 2. Build agent prompt
        task = self.get_task(task_id)
        prompt = f"""
        You are {self.agent_type} agent.

        Task: {task['description']}
        Priority: {task['priority']}

        Execute this task and report:
        1. What you did
        2. Files changed
        3. Tests passed
        4. Completion status
        """

        # 3. Invoke agent
        result = self.invoke_claude_code(prompt)

        # 4. Update status
        if result['success']:
            self.update_status(task_id, 'completed')
        else:
            self.update_status(task_id, 'blocked')
            self.log_error(task_id, result['error'])

Invocation Methods:

Method 1: Python API (preferred)

from anthropic import Anthropic
client = Anthropic()
response = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=8000,
    messages=[{"role": "user", "content": prompt}]
)

Method 2: CLI (alternative)

claude --prompt-file /tmp/task_prompt.txt --output-format json

4. scripts/autonomous-orchestrator.py

Purpose: Master controller coordinating all components Priority: P0 (Week 3, Days 1-4) Hours: 40h

Main Control Loop:

def run(self):
    # Start sync daemon
    self.sync_daemon.start()

    while self.running:
        # 1. Get next available task
        if len(self.active_agents) < self.max_concurrent:
            task = self.dispatcher.get_next_task()

            if task:
                # 2. Assign to agent
                agent_type = self.dispatcher.assign_agent(task)

                # 3. Spawn executor
                executor = AgentExecutor(agent_type, task['task_id'])
                self.active_agents[task['task_id']] = executor
                executor.start()  # Run in thread

        # 4. Monitor active agents
        for task_id, executor in list(self.active_agents.items()):
            if executor.is_complete():
                del self.active_agents[task_id]
                self.handle_completion(executor)

        # 5. Check milestones
        self.check_milestones()

        time.sleep(1)

Usage:

# Start orchestrator
python3 scripts/autonomous-orchestrator.py --start

# Status dashboard
python3 scripts/autonomous-orchestrator.py --status

# Stop gracefully
python3 scripts/autonomous-orchestrator.py --stop

5. scripts/dependency-resolver.py

Purpose: Dependency graph construction and cycle detection Priority: P1 (Week 3, Day 5 - Week 4, Day 2) Hours: 24h

Key Functions:

class DependencyGraph:
    def __init__(self):
        self.graph = defaultdict(list)

    def parse_dependencies(self, task):
        """Extract dependencies from task description."""
        # Look for patterns like:
        # "after T001.009"
        # "depends on T008.001"
        # "blocked by: Infrastructure FDB operational"

        pattern = r'T\d{3}\.\d{3}'
        matches = re.findall(pattern, task['description'])
        return matches

    def is_ready(self, task_id):
        """Check if all dependencies are completed."""
        deps = self.get_dependencies(task_id)
        for dep_id in deps:
            dep_task = get_task(dep_id)
            if dep_task['status'] != 'completed':
                return False
        return True

    def detect_cycles(self):
        """DFS-based cycle detection."""
        visited = set()
        rec_stack = set()

        def dfs(node):
            visited.add(node)
            rec_stack.add(node)

            for neighbor in self.graph[node]:
                if neighbor not in visited:
                    if dfs(neighbor):
                        return True
                elif neighbor in rec_stack:
                    return True  # Cycle!

            rec_stack.remove(node)
            return False

        for task_id in self.all_tasks:
            if task_id not in visited:
                if dfs(task_id):
                    return True
        return False

Configuration Files

config/orchestrator-config.json

{
  "version": "1.0.0",
  "orchestrator": {
    "max_concurrent_agents": 5,
    "max_retries": 3,
    "retry_backoff_base": 2,
    "checkpoint_interval_tasks": 10
  },

  "sync_daemon": {
    "enabled": true,
    "markdown_path": "docs/project-management/V2-TASKLIST-WITH-CHECKBOXES.md",
    "json_path": "docs/project-management/v2-work-items.json",
    "db_path": "submodules/core/coditect-core/context.db",
    "watch_interval": 5,
    "sync_debounce": 2
  },

  "agent_mappings": {
    "infrastructure|deployment|docker|kubernetes": "devops-engineer",
    "security|authentication|compliance": "security-specialist",
    "api|endpoint|backend": "backend-development",
    "ui|frontend|component|react": "frontend-development-agent",
    "test|validation|coverage": "testing-specialist",
    "documentation|guide|readme": "codi-documentation-writer",
    "performance|optimization": "application-performance",
    "database|schema|migration": "database-architect"
  },

  "logging": {
    "level": "INFO",
    "file": "logs/orchestrator.log"
  }
}

Database Schema Extensions

scripts/init-orchestrator-schema.sql

-- Task Dependencies
CREATE TABLE IF NOT EXISTS task_dependencies (
    dependency_id INTEGER PRIMARY KEY AUTOINCREMENT,
    task_id TEXT NOT NULL,
    dependency_task_id TEXT NOT NULL,
    dependency_type TEXT DEFAULT 'blocks',
    created_at TEXT DEFAULT (datetime('now', 'utc')),
    FOREIGN KEY (task_id) REFERENCES v2_tasks(task_id),
    FOREIGN KEY (dependency_task_id) REFERENCES v2_tasks(task_id),
    UNIQUE(task_id, dependency_task_id)
);

CREATE INDEX idx_task_deps_task ON task_dependencies(task_id);
CREATE INDEX idx_task_deps_dependency ON task_dependencies(dependency_task_id);

-- Orchestrator State Tracking
CREATE TABLE IF NOT EXISTS orchestrator_state (
    state_id INTEGER PRIMARY KEY AUTOINCREMENT,
    timestamp TEXT DEFAULT (datetime('now', 'utc')),
    active_agents INTEGER DEFAULT 0,
    pending_tasks INTEGER DEFAULT 0,
    completed_tasks INTEGER DEFAULT 0,
    failed_tasks INTEGER DEFAULT 0,
    tasks_per_hour REAL DEFAULT 0,
    uptime_seconds INTEGER DEFAULT 0,
    metrics_json TEXT
);

CREATE INDEX idx_orchestrator_state_timestamp ON orchestrator_state(timestamp);

-- Agent Execution Log
CREATE TABLE IF NOT EXISTS agent_execution_log (
    log_id INTEGER PRIMARY KEY AUTOINCREMENT,
    task_id TEXT NOT NULL,
    agent_type TEXT NOT NULL,
    started_at TEXT DEFAULT (datetime('now', 'utc')),
    completed_at TEXT,
    status TEXT DEFAULT 'running',
    exit_code INTEGER,
    stdout TEXT,
    stderr TEXT,
    execution_time_seconds REAL,
    retry_count INTEGER DEFAULT 0,
    FOREIGN KEY (task_id) REFERENCES v2_tasks(task_id)
);

CREATE INDEX idx_agent_log_task ON agent_execution_log(task_id);
CREATE INDEX idx_agent_log_status ON agent_execution_log(status);

-- Enable WAL mode for better concurrency
PRAGMA journal_mode=WAL;

Documentation Deliverable

docs/02-user-guides/AUTONOMOUS-ORCHESTRATION-GUIDE.md

Sections:

Introduction - What is autonomous orchestration?
Quick Start - 5-minute setup guide
Architecture - Component overview with diagram
Configuration - orchestrator-config.json reference
Operations - Start/stop/monitor commands
Agent Mappings - How tasks get assigned
Dependency Management - Defining and resolving dependencies
Monitoring - Prometheus metrics + Grafana dashboards
Troubleshooting - Common issues and solutions
API Reference - REST API endpoints for dashboard

Implementation Order (8 Weeks)

Week 1: Core Sync & Dispatch

Days 1-3: sync-daemon.py
Days 4-5: task-dispatcher.py
Checkpoint: Dispatcher assigns 10 test tasks correctly

Week 2: Agent Execution

Days 1-3: agent-executor.py
Days 4-5: Integration testing + bug fixes
Checkpoint: First autonomous task completion

Week 3: Orchestration

Days 1-4: autonomous-orchestrator.py
Day 5: dependency-resolver.py skeleton
Checkpoint: 5 concurrent agents executing

Week 4: Dependencies & Dashboard

Days 1-2: dependency-resolver.py complete
Days 3-5: Progress dashboard (FastAPI + Vue.js)
Checkpoint: Dependencies block/unblock correctly

Week 5: Resilience

Days 1-2: Circuit breaker + retry logic
Days 3-5: Prometheus metrics integration
Checkpoint: System recovers from agent failures

Week 6: Documentation

Days 1-2: orchestrator-config.json + schema
Days 3-5: AUTONOMOUS-ORCHESTRATION-GUIDE.md
Checkpoint: Documentation complete

Week 7: Production Deployment

Days 1-3: Deploy to GKE cluster
Days 4-5: Load testing (100+ tasks)
Checkpoint: System handles production load

Week 8: Validation

Days 1-2: Security audit
Days 3-5: Execute 10 real V2 tasks autonomously
Checkpoint: 95%+ success rate achieved

Testing Checklist

Unit Tests (Week 2)

test_sync_daemon.py - File watching, sync logic
test_task_dispatcher.py - Agent assignment
test_agent_executor.py - Task execution
test_dependency_resolver.py - Cycle detection
test_orchestrator.py - Control loop

Integration Tests (Week 4)

End-to-end: Markdown → DB → Dispatch → Execute → Complete
Dependency blocking: Task B waits for Task A
Concurrent execution: 5 agents simultaneously
Failure recovery: Agent fails → Retry → Success

Load Tests (Week 7)

100 tasks in queue → Dispatch latency <5s
10 concurrent agents → CPU <80%, Memory <4GB
1000 rapid markdown updates → No sync failures

Success Criteria (Checkpoints)

Week 2 (Jan 1):

✅ First task completed autonomously (T001.001)
✅ Sync daemon operational (markdown ↔ DB)
✅ Unit tests passing (20+ tests)

Week 4 (Jan 15):

✅ 20 tasks completed autonomously
✅ Dependency resolution working (10+ dependency pairs)
✅ Progress dashboard deployed

Week 6 (Jan 29):

✅ Monitoring operational (Prometheus + Grafana)
✅ Circuit breaker tested (handles 10 consecutive failures)
✅ Documentation complete

Week 8 (Feb 12):

✅ Production deployment complete
✅ 80+ tasks completed (65% of 122 total)
✅ 95%+ success rate
✅ <5s dispatch latency
✅ 99.9% uptime

Quick Start Commands

Initial Setup

# 1. Initialize database schema
sqlite3 context.db < scripts/init-orchestrator-schema.sql

# 2. Start Redis (for task queue)
docker run -d -p 6379:6379 redis:7-alpine

# 3. Create config
cp config/orchestrator-config.example.json config/orchestrator-config.json

# 4. Start orchestrator
python3 scripts/autonomous-orchestrator.py --start

Daily Operations

# Check status
python3 scripts/autonomous-orchestrator.py --status

# View active agents
python3 scripts/autonomous-orchestrator.py --agents

# View recent completions
python3 scripts/autonomous-orchestrator.py --recent 10

# Stop orchestrator
python3 scripts/autonomous-orchestrator.py --stop

Monitoring

# Prometheus metrics
curl http://localhost:9090/metrics

# Grafana dashboard
open http://localhost:3000/d/coditect-orchestrator

Agent Type Mappings (Reference)

Pattern → Agent Type

Pattern	Agent Type	Use Cases
infrastructure\|deployment\|docker\|kubernetes	devops-engineer	T001.009, T006.001
security\|authentication\|oauth\|jwt	security-specialist	T008.001-T008.015
api\|endpoint\|backend\|handler	backend-development	T001.010, T003.001
ui\|frontend\|component\|react	frontend-development-agent	T002.001-T002.013
test\|validation\|coverage\|pytest	testing-specialist	T005.001-T005.010
documentation\|guide\|readme	codi-documentation-writer	T007.001-T007.007
performance\|optimization\|latency	application-performance	T001.015, T003.015
database\|schema\|migration\|fdb	database-architect	T003.001-T003.005
workflow\|automation\|bpmn	workflow-automation-specialist	T004.001-T004.010
monitoring\|metrics\|prometheus	observability-platform	T009.001-T009.008

Risk Mitigation (Quick Ref)

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

Budget Summary

Engineering: 344 hours @ $150/h = $51,600 Infrastructure: $100/month (Redis, Prometheus, Grafana) Total 2-Month Project: $51,800

Next Steps (Immediate)

This Week:

Review & Approve - Stakeholder sign-off on plan
Setup Dev Environment - Clone repo, init database
Start Week 1 - Begin sync-daemon.py implementation

Week 1 Goals:

sync-daemon.py functional
task-dispatcher.py assigns 10 test tasks
Unit tests passing
Team demo on Friday

Created: December 18, 2025 Status: Ready for Implementation See Full Plan: AUTONOMOUS-ORCHESTRATION-PLAN.md (60K+ words)

5 Core Scripts (Priority Order)​

1. scripts/sync-daemon.py​

2. scripts/task-dispatcher.py​

3. scripts/agent-executor.py​

4. scripts/autonomous-orchestrator.py​

5. scripts/dependency-resolver.py​

Configuration Files​

config/orchestrator-config.json​

Database Schema Extensions​

scripts/init-orchestrator-schema.sql​

Documentation Deliverable​

docs/02-user-guides/AUTONOMOUS-ORCHESTRATION-GUIDE.md​

Implementation Order (8 Weeks)​

Week 1: Core Sync & Dispatch​

Week 2: Agent Execution​

Week 3: Orchestration​

Week 4: Dependencies & Dashboard​

Week 5: Resilience​

Week 6: Documentation​

Week 7: Production Deployment​

Week 8: Validation​

Testing Checklist​

Unit Tests (Week 2)​

Integration Tests (Week 4)​

Load Tests (Week 7)​

Success Criteria (Checkpoints)​

Quick Start Commands​

Initial Setup​

Daily Operations​

Monitoring​

Agent Type Mappings (Reference)​

Risk Mitigation (Quick Ref)​

Budget Summary​

Next Steps (Immediate)​

This Week:​

Week 1 Goals:​

5 Core Scripts (Priority Order)

1. scripts/sync-daemon.py

2. scripts/task-dispatcher.py

3. scripts/agent-executor.py

4. scripts/autonomous-orchestrator.py

5. scripts/dependency-resolver.py

Configuration Files

config/orchestrator-config.json

Database Schema Extensions

scripts/init-orchestrator-schema.sql

Documentation Deliverable

docs/02-user-guides/AUTONOMOUS-ORCHESTRATION-GUIDE.md

Implementation Order (8 Weeks)

Week 1: Core Sync & Dispatch

Week 2: Agent Execution

Week 3: Orchestration

Week 4: Dependencies & Dashboard

Week 5: Resilience

Week 6: Documentation

Week 7: Production Deployment

Week 8: Validation

Testing Checklist

Unit Tests (Week 2)

Integration Tests (Week 4)

Load Tests (Week 7)

Success Criteria (Checkpoints)

Quick Start Commands

Initial Setup

Daily Operations

Monitoring

Agent Type Mappings (Reference)

Risk Mitigation (Quick Ref)

Budget Summary

Next Steps (Immediate)

This Week:

Week 1 Goals: