{"version":"1.0","generated_at":"2026-10-04T16:31:35.734673","id":1453,"slug":"fetch-code-quality-findings-via-rest-api","title":"通过REST API获取代码质量发现","summary":"GitHub公开预览代码质量发现REST API，支持仓库级查询和过滤，便于集成自动化工作流。","abstract":"通过REST API获取代码质量发现 GitHub公开预览代码质量发现REST API，支持仓库级查询和过滤，便于集成自动化工作流。 GitHub开放代码质量发现REST API，支持仓库级查询。 允许集成到CI/CD和自动化修复工作流。 目前公开预览，仅限github.com，Enterprise暂不可用。 只读端点，无法直接操作发现。 使代码质量管理更自动化。 仓库级代码质量发现的REST API现以公开预览形式提供，使API支持更接近GitHub UI已有的功能。新增两个只读端点：GET /repos/{owner}/{repo}/code-quality/findings/{finding_number}：获取单个Code Quality CodeQL发现的详情。GET /repos/{owner}/{repo}/code-quality/findings：列出仓库的Code Quality CodeQL发现，支持过滤和分页。这些端点允许更广泛地访问代码质量结果，并支持集成，如工具和代理修复工作流。Code Quality Findings REST API现已在github.com上公开预览，尚未在GitHub Enterprise Server上提供。 信号 ：GitHub将代码质量结果的API化，从UI延伸至自动化集成，标志着开发者工具链的进一步开放。 为什么重要 ：此前代码质量发现主要通过UI查看，API缺失限制了自动化流程。新增REST API允许开发者工具链直接拉取CodeQL发现，便于监控、报告和自动修复，提升代码质量管理效率。 对谁有价值 ：开发团队…","access_level":"member","access_label":"免费阅读","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/1453/fetch-code-quality-findings-via-rest-api","html_url":"https://opc.beizhux.com/content/1453/fetch-code-quality-findings-via-rest-api","json_url":"https://opc.beizhux.com/content/1453/fetch-code-quality-findings-via-rest-api.json","published_at":"2026-06-24T02:38:41","updated_at":"2026-10-04T15:53:21","category":{"slug":"ai-skills","name":"AI技能杠杆"},"source":{"site":"github.blog","author":"Allison","url":"https://github.blog/changelog/2026-06-23-fetch-code-quality-findings-via-rest-api"},"tags":["Agent工作流","AI","API","Code Quality","CodeQL","DevOps","GitHub","GitHub Changelog","REST","REST 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关联原因：这篇内容命中「工具、自动化」等主题信号。；这篇内容命中「Agent、工作流」等主题信号。；这篇内容命中「技能」等主题信号。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI工具、工具、自动化、模型、Cursor这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-tools-term","name":"AI工具","definition":"在AI觉醒星球里，「AI工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 不只看工具热度，更看它能不能进入真实流程。","topic_slug":"ai-tools","topic_name":"AI工具","topic_title":"AI工具：模型、插件、自动化与实战场景","topic_url":"https://opc.beizhux.com/topics/ai-tools","topic_path":"/topics/ai-tools","url":"https://opc.beizhux.com/glossary/ai-tools-term","path":"/glossary/ai-tools-term","json_url":"https://opc.beizhux.com/glossary/ai-tools-term.json"},{"slug":"tools","name":"工具","definition":"在AI觉醒星球里，「工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 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