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原文
教程GitHub Blog · AI & ML当事人· Nick Liffen·· 2 小时前

GitHub 的 Copilot 智能体工程指南

Beyond code generation: A developer’s guide to agentic engineering

图片来自 GitHub Blog · AI & ML
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GitHub Blog
引文
We’ll walk through what an effective agentic engineering workflow looks like on GitHub.

发生了什么

GitHub 概述了一套智能体工程工作流,在规划、构建、验证和生产环境观察等阶段使用 Copilot。该指南介绍了用于收集项目上下文、并行处理任务、审查代码与安全性,以及在发布后调查问题的功能。指南还引用了一项 Faros AI 研究,该研究发现,团队从低程度转向高程度采用 AI 后,拉取请求的审查时间延长了 441%。

接下来读什么

查看这件事的完整进展GitHub Outlines an Agentic Engineering Workflow With Copilot

这件事到目前为止

GitHub outlined a Copilot-centered workflow that uses agents across planning, building, verification, and production observation. The guide describes tools for gathering project context, splitting work across parallel tasks, reviewing code and security, and investigating issues after release. GitHub’s package firewall, in public preview for npm, can block downloads that violate configured security policies. The guide also cites a Faros AI study that found pull requests spent 441% longer in review as teams moved from low to high AI adoption.

每天一封,跟上 AI 的重要变化

模型发布、价格变化、算力进展,附原始来源。免费,确认后开始发送,随时一键退订。 看一份往期日报 · 2026-11-07