MaintainabilityBench: grade AI on the cost of adding features, not correctness
kuza55 · x · 2026-09-08
A proposed benchmark called MaintainabilityBench would have AI implement a large system from scratch, then grade it on how much effort — tokens, code changes, test iterations — it takes to add a new feature, plus initial codebase size. The motivation: models like Astra are smart, but "none of the models know how to write maintainable code."
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