AI Auditor Catches Test Gaps by Deleting Code That Tests Missed Entirely
A developer running an autonomous Claude Code agent discovered critical gaps in automated tests after a separate auditor agent performed mutation testing on new code. In one case, deleting a division operation from visitor-count logic did not cause any tests to fail, because the test inputs happened to produce the same pass/fail result with or without the division. In a second case, a function meant to mirror another system's overlap-checking rules passed tests even after the auditor stripped out a required field and changed the time window from 30 days to 7. Both failures were fixed by adding test inputs that only produce the correct result when the full logic is intact, and by asserting that shared constants are read directly from the source system rather than copied. The developer concluded that every new operation needs at least one input where removing it changes the outcome, and that any claim of matching another system's rule must be verified against that system's own values.
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