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A controlled study of 660 Claude Code trials shows clean codebases reduce token usage by 7-8% and file revisitations by 34%, while pass rates stay the same. Traditional maintainability principles still matter in the age of AI coding.
A new SonarSource study finds clean code doesn't boost agent pass rates - but it cuts token usage by 8% and file revisitations by 34%. Here's what that means for your codebase.
SWE-Bench has an 81% false-positive problem. FrontierCode replaces it with mergeability as the metric - and the scores are sobering for every AI coding tool on the market.

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