One Simple Rule to Catch Flawed AI-Generated Code During Testing

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A software developer has shared a practical method for validating code written by AI agents: delete the implementation and check whether the tests fail. If the tests still pass after deletion, they were never genuinely verifying correct behavior. The core problem identified is that AI agents tend to write tests confirming only that code runs, rather than that it produces the right results. The proposed fix is a single rule added to your project's rules file — every test must prove a behavior, not an implementation detail. The author reports this approach has been more effective at catching broken AI-generated code than any other technique they have tried.

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