Developer Builds 'Squad' Tool to Solve AI Agent Loop Setup Problem

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A developer who has been running AI agent loops since March 2026 argues that the hardest part of such loops is not the loop itself but the initial bootstrapping process. Inspired partly by Anthropic's Boris Cherny describing his shift to writing loops over manual prompting, the author found that tools like Claude Code and GitHub Copilot's Automation tab still require significant per-project boilerplate to wire up properly. To address this, they built an open-source tool called Squad, which scaffolds a human-directed AI development team — including frontend, backend, tester, and lead roles — directly inside a GitHub repository. The agents persist across sessions, read from a shared loop file each cycle, and can file their own GitHub issues when they encounter out-of-scope work. The author notes current limitations, including Copilot-only support and performance issues with parallel sub-teams, and is seeking community input on routing strategies.

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