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The Most Dangerous AI-Generated Code Is the Code That Passes All Tests
TL;DR: A developer reflects on AI-generated code that passes all tests but introduces hidden issues due to untested relationships and architectural assumptions. The core lesson is that passing tests don’t guarantee correctness of design, invariants, or future integrity.
The author notes that AI-written code can seem correct because tests pass, yet still break unseen relationships and invariants. Tests verify only those behaviors you chose to check, not broader system health. Everything appeared green: CI, tests, lint, build, and the AI's explanation, but the real risk lay in gaps between what was tested and what the system requires. The story warns that reliance on passing tests can lull teams into false confidence about code quality.
Question for the room: Have you encountered a case where tests passed but a later change revealed a deeper architectural flaw?
— via dev.to
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