Agent patches can alter test fixtures unseen; fingerprinting the setup layer closes the gap

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Reviews of AI-agent patches usually check only source and test code, missing edits to setup files such as conftest.py, factories, seed data, and golden files. Such changes can make a failing suite pass while quietly weakening its checks, for example by making a uniqueness check unreachable or by regenerating golden files to match new output. The author proposes treating the setup layer as an explicit review input, starting with a content-hash fingerprint over every file that affects test state. A CI-friendly script compares the current digest against a committed baseline and fails when any setup file has changed. A pytest plugin also records which tests use which fixtures, so reviewers can see which tests a changed setup file actually affects.

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ProgrammingDEV Community ·

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