AI RESEARCH
CODESKILL: Learning Self-Evolving Skills for Coding Agents
arXiv CS.AI
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ArXi:2605.25430v1 Announce Type: new Coding agents produce rich trajectories while solving software-engineering tasks. To enable agent self-evolution, these trajectories can be distilled into reusable procedural skills that compactly encode experience to guide future behavior. However, existing skill construction and maintenance methods often rely on fixed prompts and heuristic update rules, leaving it unclear how knowledge should be selected, abstracted, and maintained to best serve downstream agents.