REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring
Source
arxiv.org
Author
Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson
Date
Why it matters
Wrapping the model in static analysis before and after the edit beats direct prompting for refactoring, with consistent 68-73% code-smell reduction across three frontier models on real Java projects.
Terms in this piece · Glossary
multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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