AI-Generated Code That Passes All Tests Can Still Hide Dangerous System Bugs

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A developer discovered a subtle but serious bug days after merging an AI-generated pull request that had passed all tests, linting, and code review. The code correctly performed the requested state update but silently broke an implicit dependency between two related pieces of state elsewhere in the system. Because every standard quality signal showed green, no human reviewer — including the author — flagged the change for deeper scrutiny. The root cause was an incomplete specification: the developer had not articulated a critical system invariant, and the AI fulfilled the given spec perfectly without accounting for the unstated constraint. The incident highlights that AI-generated code poses a distinct risk not when it fails obvious checks, but when it passes them while violating assumptions that were never explicitly tested.

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