How I Run a Team of AI Coding Agents in Parallel

Running one AI coding agent is productive. Running five in parallel is chaos. I've been using Claude Code daily for months. It's great — until you realize there are four other tasks sitting idle while you wait for one agent to finish refactoring a module. So you open more terminal tabs, spin up more sessions, and now you're the bottleneck. You're context-switching between agents, resolving merge conflicts they created, and manually checking if anything still compiles. I spent a week in this mode before I decided there had to be a better way. The Multi-Agent Problem Here's what goes wrong when you naively run multiple AI coding agents on the same repo: They stomp on each other's files. Agent A edits src/auth.rs while Agent B is also editing src/auth.rs . Someone loses. Nobody checks the tests. An agent says "Done!" but the test suite is failing. You don't find out until three more tasks are stacked on top of the broken one. You become the dispatcher. Which agent is working on what? Is a