How I Built an AI Code Reviewer for GitHub Pull Requests with Spring Boot

说明与用途

使用 Spring Boot 和 AI 自动化 GitHub 的首次代码审查，加快反馈速度，但需要稳健的集成和错误处理。

问题

Developers spend time on repetitive first-pass code reviews, delaying feedback and increasing cycle time.

结果

The system automates the first-pass code review, delivering timely, focused feedback on bugs, security, performance, and quality, while highlighting the importance of robust backend engineering around AI integration.

工作流

• Receive GitHub webhook for PR events
• Validate and parse webhook payload
• Fetch PR details and changed files via GitHub API
• Extract diff and relevant context
• Build a structured AI prompt with review criteria
• Call AI API to generate review
• Process AI response, handle errors and retries
• Store or return the review to the team

证据

The quality of an AI response depends heavily on the quality of the context and instructions you provide.

来源

AI doesn't remove backend engineering. It makes good backend engineering even more important.

来源