How I run multiple AI coding agents without destroying my repo
The article discusses the challenges of using multiple AI coding agents on a single project repository. It highlights the issues that arise from mixed diffs and port collisions when multiple agents operate simultaneously. The author introduces a solution using Git worktrees and a CLI tool called WorktreePilot to manage isolated environments for each coding task.
- ▪AI coding agents are improving, shifting the bottleneck from code generation to local workflow.
- ▪Using multiple agents in one repo can lead to mixed diffs and port collisions.
- ▪The author developed WorktreePilot to create isolated worktrees for each AI coding task.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3938324) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } shlomik Posted on May 18 How I run multiple AI coding agents without destroying my repo #ai #productivity #claude #githubcopilot AI coding agents are becoming good enough that the bottleneck is no longer only code generation. The new bottleneck is local workflow. What happens when more than one agent works on the same project? At first, I tried the obvious thing: one repo folder, multiple terminals, multiple agents. That breaks quickly.
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