AINeutralarXiv – CS AI · 7h ago6/10
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Rule Taxonomy and Evolution in AI IDEs: A Mining and Survey Study
A comprehensive empirical study examined how developers use rules in AI-powered IDEs to constrain LLM behavior, extracting 7,310 rules from 83 open-source projects. The research revealed a significant gap between what developers prioritize (architectural constraints) and what they actually implement (low-level formatting rules), while showing that rule updates improve artifact compliance by an average of 23 percentage points.