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TutorialsGitHub Blog · AI & MLFrom the source· Nick Liffen·· 2 hours ago

GitHub’s Guide to Agentic Engineering With Copilot

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

Image: GitHub Blog · AI & ML
Who
GitHub Blog
What
explains an agentic engineering workflow across planning, building, verification, and observation with Copilot
Quote
We’ll walk through what an effective agentic engineering workflow looks like on GitHub.

What happened

GitHub outlines an agentic engineering workflow that uses Copilot across planning, building, verification, and production observation. The guide describes features for gathering project context, handling tasks in parallel, reviewing code and security, and investigating issues after release. It also cites a Faros AI study that found pull requests spent 441% longer in review when teams moved from low to high AI adoption.

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See the full storyGitHub Outlines an Agentic Engineering Workflow With Copilot

The story so far

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.

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