📄 中文摘要
2026年，结合大型语言模型（LLM）与传统静态分析工具的混合管道使得自动化代码审查成为现实。这种新型审查流程能够在人工介入之前，自动检测出代码中的细微错误、安全漏洞，并提出更清晰的代码建议。作为一名目睹这些工具从小众实验发展为生产必备工具的工程师，分享了如何构建高准确率的审查工作流，以便与团队规模相匹配。混合代码审查的优势在于其高效性和准确性，能够显著提升持续集成/持续交付（CI/CD）的流畅性。
通过 LLM 驱动的混合管道提升自动化代码审查
出处: Supercharge Automated Code Review with LLM‑Powered Hybrid Pipelines
发布: 2026年3月4日
📄 English Summary
Supercharge Automated Code Review with LLM‑Powered Hybrid Pipelines
In 2026, the integration of Large Language Models (LLMs) with traditional static analysis tools has made automated code review a reality. This new review process can automatically detect subtle bugs, security flaws, and suggest cleaner code before any human intervention. As an engineer who has witnessed these tools evolve from niche experiments to essential production tools, insights are shared on how to build a high-accuracy review workflow that scales with team size. The advantages of hybrid code review lie in its efficiency and accuracy, significantly enhancing the frictionless nature of Continuous Integration/Continuous Delivery (CI/CD).