Researcher Proposes Metrics to Measure Code Sloppiness Beyond Functionality

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A blog post on Earendil.com raises the question of what software quality means if AI can generate working code on demand. The author argues that functional correctness alone is insufficient and that 'sloppiness' — poor structure, readability, and maintainability — remains a real problem. The piece proposes ways to quantitatively measure how sloppy code is, even when it technically runs. This reflects a broader industry debate about AI-generated code quality as tools like GitHub Copilot become widespread. The discussion was shared on Hacker News, though it attracted no comments at the time of posting.

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