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GitHub Blog: Practical Guide to Reviewing Agent-Generated Pull Requests — What to Look For and Where Issues Hide
GitHub published a hands-on guide for reviewing AI-agent-generated PRs, covering what to look for, where technical debt hides, and how to catch issues before they ship. The guide addresses the growing reality that agent PRs are now everywhere and require different review strategies than human-authored code — focusing on over-abstraction, hallucinated dependencies, and subtle logic errors that pass CI but fail in production. This complements GitHub's earlier 'trust layer' piece (May 8) which focused on automated CI-level checking; this one targets the human reviewer.
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