A self-evolving framework, RuleEvolve, for coding rules in AI coding agents uses an LLM-powered mutator module to generate variants and a judge module to evaluate and update the pool with the best-performing ones, outperforming manual engineering and existing prompt optimization baselines in functional correctness, code length, and generation cost.