Why Benchmarking AI Code Tools Is Harder Than You Think
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Standard AI coding benchmarks like HumanEval and SWE-bench have serious flaws: they rely on one-shot patch generation, are contaminated by training data, contain flawed test cases, and don't reflect how real coding agents work through multi-turn, multi-tool interactions. A proper benchmark should be end-to-end, multi-turn
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