Microsoft opened GitHub Copilot code review for Azure Repos to all Azure DevOps customers, after acknowledging that many are not ready to migrate to GitHub. Reviews bill per use through the linked...

At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to manage PRs. To address this, LinkedIn engineers...

Incident management platform provider Rootly has published an account of its decision to drop its long-standing small pull request rule, arguing that the practice no longer serves its purpose now...

Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat...

Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber,...

Open-core DevOps vendor GitLab has shipped versions 18.10 and 18.11 of its DevSecOps platform, with changes that give agentic AI to users on the free tier, that cut the per-review cost of...

Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using multiple AI reviewers. By Daniel Dominguez

HubSpot engineers introduced Sidekick, an internal AI powered code review system that analyzes pull requests using large language models and filters feedback through a secondary “judge agent.” The...

在 VSCode 中，发现了 Code Review 功能，能够自动检测代码逻辑漏洞并提供修复建议。通过 git 视图中的按钮，可以获取 AI 的代码审查建议，尽管部分优化仍需手动处理，但整体功能实用，有效避免代码隐患。

AutoDev Review Agent 旨在提高代码审查效率，适应 Vibe Coding 时代的需求。它通过多步骤、可编排的方式，结合 lint、语义分析和修复建议，支持多系统环境，推动代码审查的自动化。

在复杂项目开发中，团队成员的编码风格各异，保持统一风格至关重要。使用StyleCop.Analyzers工具进行代码静态审查，可以帮助团队遵循最佳实践，提高代码质量和可维护性。该工具支持多种规则配置，便于团队协作。

You know that feeling when you've just submitted a merge request and the code review comments start rolling in? One reviewer wants the labels updated, another asks for side-by-side layouts,...

Code reviews are critical for catching bugs, improving code readability, and maintaining coding standards, but they can also be a major bottleneck in your workflow. When you're trying to ship...

本研究提出了一种混合方法，结合知识基础系统与学习基础系统，以解决软件开发中代码审查的复杂性和主观性。实验结果表明，该方法显著提升了评论的相关性、完整性和质量。

代码审查（CR）是软件开发中的关键实践，旨在提高代码质量、促进知识共享和降低风险。尽管面临交付压力和参与度不足等挑战，通过优化CR流程和技巧，可以有效应对这些问题。CR的主要目标是提升代码质量和识别潜在风险，基本原则强调代码质量和一致性。通过明确的评审步骤和最佳实践，团队能够提高CR效率，减少缺陷，提升软件质量。

大模型技术为代码安全领域带来了新机遇。腾讯啄木鸟团队通过实践，利用大模型提升漏洞检测能力，日均发现300多个安全风险。与传统静态分析方法相比，大模型在理解代码功能和上下文方面显著提高了检测准确率。未来将继续探索其在安全领域的应用。