Coding agents can improve by evolving their own instruction rules

RuleEvolve searches over persistent coding instructions, retaining variants that improve correctness, code length, or generation cost.

Academic
Zhengyuan Jiang · Reachal Wang · Yuepeng Hu · Yupu Wang · Yuqi Jia · Neil Zhenqiang Gong

Duke University

Research Digest··2 min read
Jiang et al.

md file.

Why this paper

From Duke University

In one line

RuleEvolve self-evolves coding rules by iterative mutation and selection, beating hand-written rules and prompt optimization on correctness, length, and cost.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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