In this episode, we break down how to run multiple AI agents in a single codebase using Git worktrees. You’ll learn why naive repo cloning breaks down, how worktrees solve real-world workflow issues, and how to safely run parallel agents without stepping on each other’s changes.
Chapters:
00:00:00 Intro & Framing the Problem
00:03:53 Why Multi-Agent Repos Get Messy
00:07:55 Git Worktrees: The Core Idea
00:13:02 Naive Branch Cloning vs Worktrees
00:18:51 How Worktrees Work Under the Hood
00:25:21 Worktree Limitations & Gotchas
00:32:06 Running Parallel Agents Safely
00:40:31 Using Tmux for Multi-Agent Control
00:48:09 Best Practices & Wrap-Up
Check out our github: https://www.github.com/boundaryml/baml
AI That Works repo: https://github.com/ai-that-works/ai-t...
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