What problem does it solve?
Decomposes complex goals into independent, verifiable tasks and orchestrates their execution across multiple developer and AI agents so the orchestrator never blocks on implementation details. It prevents conflicts, enforces clear success criteria, and provides proactive monitoring and escalation so large multi-component workstreams make consistent progress.
Core Features & Use Cases
- Task Decomposition & Assignment: Break goals into parallelizable modules, define scope boundaries, and assign one task per agent.
- Agent Selection & Coordination: Recommend specialized agents by language and role, enforce minimal output formats, and manage parallel vs sequential patterns.
- Progress Monitoring & Escalation: Poll agents, require concise status updates, trigger retries or escalations for blocked tasks, and archive evidence.
- Verification & Integration: Run multi-loop verification before PR approval, apply language-specific checklists, and enforce non-blocking orchestration patterns.
- Use Case: Implement an authentication module by splitting work into OAuth integration, session management, rate limiting, tests, and documentation across parallel agents.
Quick Start
Decompose the "Implement OAuth2" goal into independent tasks, assign each to a specialized agent with clear success criteria, and start proactive monitoring with 10-15 minute polling intervals.
