Using Git Worktrees to Run Multiple AI Agents on the Same Repo
This article explains how to use Git worktrees to manage multiple AI coding agents working on the same repository, avoiding conflicts and overwriting each other's changes.
Why it matters
This technique helps AI development teams be more productive and avoid costly mistakes when multiple agents are working on the same codebase.
Key Points
- 1Git worktrees provide separate working directories linked to the same repository
- 2Each agent can work on their own branch without affecting the others
- 3Conflicts are only resolved at merge time, not during active development
- 4Running tests before merging is critical to catch issues early
Details
The article describes a step-by-step workflow for using Git worktrees to enable multiple AI agents to work on the same codebase simultaneously. It explains how each agent can have their own working directory and branch, allowing them to edit the same files without conflicts. The key benefits are avoiding issues like stash conflicts, unexpected changes in the working environment, and build artifact confusion that can happen when all agents share the same directory. The article emphasizes the importance of running tests before merging an agent's work to catch any issues early, rather than relying on the agent's own assessment of completion.
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