Leveraging Large Language Models for Enhanced Code Review

This paper presents an innovative approach to software code review using Large Language Models (LLMs), incorporating open-source models. We introduce Pearbot, an open-source tool that implements a comprehensive code review workflow using open-weights LLMs, featuring multi-agent capabilities and reflection mechanisms. Our approach demonstrates the potential for LLMs to identify code issues and suggest improvements that may be overlooked by traditional automated analysis tools, while addressing common limitations of LLM-based code review through a multi-agent architecture.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701066/pdf
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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article

Leveraging Large Language Models for Enhanced Code Review

Alexey Rybalchenko, Mohammad Al-Turany
Springer Link (Chiba Institute of Technology)
Software Engineering Research
article

Leveraging Large Language Models for Enhanced Code Review

Alexey Rybalchenko, Mohammad Al-Turany
article en

Abstract

This paper presents an innovative approach to software code review using Large Language Models (LLMs), incorporating open-source models. We introduce Pearbot, an open-source tool that implements a comprehensive code review workflow using open-weights LLMs, featuring multi-agent capabilities and reflection mechanisms. Our approach demonstrates the potential for LLMs to identify code issues and suggest improvements that may be overlooked by traditional automated analysis tools, while addressing common limitations of LLM-based code review through a multi-agent architecture.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 16%
Software Engineering Research
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Leveraging Large Language Models for Enhanced Code Review — Alexey Rybalchenko, Mohammad Al-Turany · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS