389 of 390 Tests Passed a Buggy Calculator — NIST's Dataset Caught What They Missed
A developer deliberately introduced a subtle bug into a Rust-based calculator tool used by an AI agent, replacing a multiplication operator with addition, and found that 389 of 390 existing tests still passed undetected. The flaw was only caught by running the tool against NIST's Statistical Reference Datasets (StRD), which provide certified expected values for numerical computations. This experiment highlighted a key limitation of example-based test suites: a high pass rate does not guarantee that meaningful defects will be caught. The author argues that AI agents should separate semantic reasoning from computational execution, with narrow, well-tested tools handling defined operations under strict contracts. The takeaway is that external, independent reference benchmarks — not just internal test counts — are essential for validating the correctness of tools delegated to AI agents.
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