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Developer uses Git worktrees to enable AI agents across multiple repos

A developer describes their journey to enable AI agents to work across multiple code repositories simultaneously. Initial attempts using copy-pasting code between agent sessions or starting agents at a project root proved inefficient due to context loss or overwhelming the agent with too many irrelevant repositories. The developer found success by using Git worktrees, which allow multiple copies of repositories to exist within a shared Git object database, enabling an agent to access and modify code across different repos in a consistent and efficient manner. AI

IMPACT Enables more efficient AI agent workflows for developers managing multi-repo projects.

RANK_REASON Developer describes a technical solution for a common problem using existing tools.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer uses Git worktrees to enable AI agents across multiple repos

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Developer describes a technical solution for a common problem using existing tools.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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45 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · FireSpark ·

    Agent works one repo at a time. Work doesn't.

    <p>I support features across multiple repos. Backend, contract, frontend — three repos, one feature. Monorepo? Too expensive. Too much migration. I had to make polyrepo work with an agent. This is the path I took to get there — it ended in a small open-source tool called <a href=…