About ManyHands
The Problem
Building software with AI is powerful but painfully slow. You prompt, wait, review, re-prompt, fix context drift, and repeat — for hours. A single Claude or ChatGPT session can only hold so much context and do one thing at a time.
The Solution
ManyHands orchestrates a fleet of AI agents that work in parallel — just like a real development team. A researcher explores the problem space, an architect designs the system, implementers build features in parallel, and QA agents validate everything.
You write one spec and go to sleep. Wake up to tested, documented, production-ready code.
How It Works
The orchestrator (queen agent) reads your spec, decomposes it into a task graph with dependencies, then assigns tasks to specialized workers. Each worker runs in its own Claude Code session with access to the shared codebase.
Workers communicate through a file registry that tracks who authored what. The queen monitors progress, handles failures with retries, and runs multi-phase QA including structural analysis, runtime testing, and integration checks.
The entire pipeline — research, architecture, decomposition, implementation, testing, and validation — runs autonomously. You get a real-time dashboard to watch or can just check back when it's done.