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Show HN: Parsimony – an open-source benchmark for how much code AI models add

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发布于 2026

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Existing benchmarks measure solve rate and token output&#x2F;cost, but don&#x27;t punish excess code, which makes a codebase harder to work with in the long term. I wanted to measure this since it matters most for long-term projects.<p>Method: it takes the patches that benchmarks already publish (DeepSWE, SWE-bench Verified, SWE-bench Live) and counts &quot;coding units&quot;: syntax elements like statements, calls, names and literals. I didn&#x27;t use lines of code, so cramming code isn&#x27;t

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      O que é o Show HN: Parsimony – an open-source benchmark for how much code AI models add?
      O Show HN: Parsimony – an open-source benchmark for how much code AI models add é uma ferramenta de inteligência artificial especializada em programação e produtividade. Existing benchmarks measure solve rate and token output&#x2F;cost, but don&#x27;t punish excess code, which makes a codebase harder to work with in the long term. I wanted to measure this since it matters most for long-term projects.<p>Method: it takes the patches that benchmarks already publish (DeepSWE, SWE-bench Verified, SWE-bench Live) and counts &quot;coding units&quot;: syntax elements like statements, calls, names and literals. I didn&#x27;t use lines of code, so cramming code isn&#x27;t
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