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Developer Builds Automated Review Gate to Safely Merge AI-Generated Code

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A developer has shared a scripted review pipeline designed to evaluate AI-generated code patches before they are merged into a real codebase. The system applies each patch to an isolated Git worktree, runs the full test suite, and flags potential risks such as new dependencies or changes to error-handling and query logic. The author noted that past bugs shipped from AI-generated code were not syntax errors but subtle logical flaws that passed tests, including a retry loop catching the wrong exception and an overly broad query filter. The shell script produces a verdict scorecard — either reject, review closely, or standard review — before the developer even reads the diff. The core argument is that identical, automated checks must run before human judgment to prevent pattern-matching shortcuts that lead to blind approvals.

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Developer Builds Automated Review Gate to Safely Merge AI-Generated Code · ShortSingh