Rule Taxonomy and Evolution in AI IDEs: A Mining and Survey Study
The adoption of AI-powered Integrated Development Environments (AI IDEs) has introduced "Rules" as a novel software artifact, allowing developers to persistently inject project-specific constraints and architectural guidelines into the context of Large Language Models (LLMs). Despite their role in aligning AI behavior with developer intent, the taxonomy, evolution, and practical impact of these rules remain largely unexplored. To bridge this gap, we conducted a mixed-methods empirical study on AI IDE rules. By mining 83 open-source projects and extracting 7,310 rules, we established a comprehensive taxonomy comprising 5 primary and 25 secondary categories. We then triangulated these artif...
| Authors | Guangzong Cai, Ruiyin Li, Peng Liang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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