TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Automating Code Reviews Using Large Language Models

3 点作者 aravindputrevu6 个月前

1 comment

aravindputrevu6 个月前
Stumbled on this piece while searching for Code Review on Google.<p>&gt; Microsoft Research and LinkedIn researchers have open-sourced CodeReviewer, a pre-trained transformer model that can automatically assess code changes, generate review comments, and suggest fixes. Trained on 7.9M pull requests across 9 programming languages, it achieves a 71.5% F1 score in identifying problematic code changes and can generate relevant review comments with 3.6&#x2F;5.0 informativeness rating from human evaluators.<p>&gt; Unlike existing code models, CodeReviewer is specifically trained on code diffs and real-world review comments from high-quality GitHub repositories. The model outperforms previous approaches by learning to &quot;think&quot; like a code reviewer rather than just understanding source code.<p>Technical details and model available at: <a href="https:&#x2F;&#x2F;github.com&#x2F;microsoft&#x2F;CodeBERT&#x2F;tree&#x2F;master&#x2F;CodeReviewer">https:&#x2F;&#x2F;github.com&#x2F;microsoft&#x2F;CodeBERT&#x2F;tree&#x2F;master&#x2F;CodeReview...</a><p>I&#x27;m thinking GitHub is gonna use some of this learning in Copilot?