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Two-Artifact Freeze Method Keeps AI Patch Reviews Scoped to Real Bugs

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Open-source maintainers risk unintended API expansions when coding models generate overreaching diffs in response to bug reports. A proposed workflow requires freezing two artifacts before any model session begins: a git bisect SHA identifying the first bad commit, and a snapshot of existing public API names. These two files act as hard merge gates, restricting model edits strictly to files changed in the offending commit. The bisect must confirm a reproducible test failure before any chat session starts, and a flaky test halts the entire process. The method aims to prevent silent surface-area growth and keep code review focused on the actual defect rather than model-suggested additions.

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