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Why Multi-Agent Work Breaks Normal Git — The Problem You Didn't Know You Had

Race conditions, conflicting edits, and the real problems that emerge when multiple AI agents share a codebase

14 min readgit, multi-agent, ai-tools, workflow

You've got one AI agent building the user dashboard. Another agent is implementing the API endpoints. A third is writing tests. You're orchestrating all of them, feeling incredibly productive.

Then you try to merge everything together and it's a disaster. Conflicting changes, broken imports, duplicated code, and an auth module that somehow got rewritten twice in incompatible ways.

Welcome to the multi-agent git problem. And if you're using AI agents seriously, this is a problem you're going to hit.

The Normal Git Assumption

Traditional Git workflows were designed with a core assumption: one developer works on one thing at a time, in one working directory. You make changes, commit them, push them. If someone else is working on the same project, you coordinate through branches an

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