Using Swear Word Density as a Code Quality Proxy for AI Analysis
A novel idea proposing that code files with more profanity indicate higher human review frequency and thus better quality. Suggests using AI to identify below-average swear rate files as a code quality signal.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.