Self-Evolving Coding Rules for AI Coding Agents
The performance of AI coding agents is highly dependent on their underlying coding rules. However, existing coding rules are typically hand-crafted and fixed, making the process labor-intensive and often suboptimal. In this work, we propose RuleEvolve, a self-evolving framework for coding rules.
By Zhengyuan Jiang, Reachal Wang, Yuepeng Hu, Yupu Wang, Yuqi Jia, Neil Zhenqiang GongarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 2, 2026.
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