25 February 2025 to 1 March 2025
Building 30.95
Europe/Berlin timezone

LLMs for Enhanced Code Review

26 Feb 2025, 11:20
20m
Audimax A (Building 30.95)

Audimax A

Building 30.95

Straße am Forum 1, 76131 Karlsruhe
Talk (15min + 5min) AI and ML in a research context Large Language Models(LLMs) in RSE

Speaker

Alexey Rybalchenko (GSI Helmholtz Centre for Heavy Ion Research)

Description

Collaborative software development for demands rigorous code review processes to ensure maintainability, reliability, and efficiency. This work explores the integration of Large Language Models (LLMs) into the code review process, with a focus on utilizing both commercial and open models. We present a comprehensive code review workflow that incorporates LLMs, integrating various enhancements such as multi-agent capabilities and reflection. By harnessing the capabilities of LLMs, the review process can uncover faults and identify improvements that traditional automated analysis tools may overlook. This integration shows promise for improving code quality, reducing errors, and fostering collaboration among software developers.

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Primary authors

Alexey Rybalchenko (GSI Helmholtz Centre for Heavy Ion Research) Mohammad Al-Turany (GSI, Darmstadt)

Presentation materials