Bernstein
Spawn parallel AI agents. Ship tested code.
Start new thread
chernistry

Bernstein - Spawn parallel AI agents. Ship tested code.

by•
Most AI coding tools give you one agent, one task, one answer. Bernstein gives you many. Set a goal. Bernstein breaks it into tasks, spawns Claude Code, Codex CLI, and Gemini CLI in parallel, verifies every result with your tests, and commits what passes. You come back to working code. Zero LLM tokens on coordination — the orchestrator is pure Python. No framework to learn. No vendor lock-in. Mix models in one run.

Add a comment

Replies

Best
chernistry
Maker
📌
I built Bernstein because I was tired of babysitting AI agents one at a time. Claude Code is great. Codex CLI is great. Gemini CLI is great. But you can only talk to one at a time — watch it work, wait, then start the next task. Meanwhile you're the bottleneck. The insight: agents don't need to talk to each other to work in parallel. Give each one a clear task, a fresh git worktree, and a test suite. Let a deterministic orchestrator verify what passes. That's it. Bernstein is pure Python — zero LLM tokens on coordination. It auto-detects whatever agents you have installed (Claude, Codex, Gemini, Aider, Amp...) and mixes them in one run. Cheap free-tier models for boilerplate, heavy models for architecture. Clean git history when done. Happy to answer anything — what would you use it for?