I Let 5 AI Agents Loose on One Repo. It Was a Disaster. So I Built This.

Last month I tried something ambitious: split a feature across five AI coding agents running in parallel. Claude Code on auth. Aider on the API. Codex on tests. Two more on frontend components. Within 90 seconds, three of them had edited src/index.ts . Two had conflicting changes to the same utility function. One had deleted a file another was importing. The merge was unfixable. I lost an hour untangling it, then threw everything away and did it sequentially. One agent at a time. Like it's 2024. That experience broke something in my brain. AI agents are fast enough to work in parallel — but our tooling assumes they work alone. So I built the missing piece. The Problem Nobody Talks About Every AI coding tool — Claude Code, Cursor, Aider, Codex, Windsurf — operates with a mental model of "one agent, one repo." And that's fine for solo tasks. But the moment you want parallelism — the thing that should make AI 5x faster — you hit the wall: No workspace isolation. Agents share a checkout. O