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Parsimony

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New open-source benchmark Parsimony measures code bloat added by AI coding models

A developer has released Parsimony, an open-source benchmark that measures how much code AI models add when solving SWE-bench Verified tasks, rather than just whether they solve them. It parses patches to count syntax-level coding units added and removed, producing a net score, and ranks models by mean net units added on tasks they solved. The tool and underlying data are published on GitHub, with results also shown via an interactive leaderboard and charts.