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Developer finds measurement bugs using a 'do-nothing' control test

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A developer conducted a pilot test for a research project involving AI coding agents. The pilot revealed over ten subtle bugs within their own measurement code, not the system under study. These bugs produced plausible but incorrect numerical results without crashing, making them hard to detect. The developer identified them by using a control test where a change that should do nothing should score zero, which their system failed. This highlights the importance of validating measurement tools against known outcomes.

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