Updates broken pytest tests after intentional code changes — triaging assertion failures from mock-coupling failures from genuine regressions, using Python's introspection to automate where safe. Use when a refactor or API change leaves a pile of failing tests and you need to decide update vs. fix vs. delete.
97
96%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
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No known issues
Scanned
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