RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
Kla Tantithamthavorn
Yaotian Zou
Andy Wong
Michael Gupta
Zhe Wang
Mike Buller
Ryan Jiang
Matthew Watson
Minwoo Jeong
Kun Chen
Ming Wu
Main:10 Pages
5 Figures
Bibliography:2 Pages
2 Tables
Abstract
Large Language Models (LLMs)-powered code review automation has the potential to transform code review workflows. Despite the advances of LLM-powered code review comment generation approaches, several practical challenges remain for designing enterprise-grade code review automation tools. In particular, this paper aims at answering the practical question: how can we design a review-guided, context-aware, quality-checked code review comment generation without fine-tuning?
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