Beyond Code Generation: A Developer's Guide to Working with AI Agents
Source GitHub Blog - AI & ML

At a glance
GitHub says more than 1.2 billion commits were pushed in one week in October, up over 400% from a year earlier. Writing more code does not necessarily speed up the whole job, and this guide explains how to use AI agents (AI that handles several steps of a task on its own) in planning, development, verification, and operation.
Key points
Using AI makes writing code faster, but the review time can become longer.
With Copilot, you can gather scattered information, compare design options, and create an execution plan.
Copilot can handle simple tasks, so developers can focus on difficult decisions.
You can continue the same Copilot work on a different device.
Why it matters
Now that AI makes writing code easy, the way work is planned and reviewed determines development speed.
Original article
Beyond code generation: A developer’s guide to agentic engineering
GitHub Blog - AI & ML · Nov 7, 2026, 7:15 AM GMT+9 · github.blog
Read on GitHub Blog - AI & MLAI read the original article and summarized it in plain language. It may contain mistakes, so please check the original for accuracy. The article's copyright belongs to GitHub Blog - AI & ML.