Understanding GitHub Copilot's Agent Features

GitHub Copilot has grown from a code-completion tool into a platform with autonomous agent capabilities. These features let Copilot research a repository, plan changes, edit code across files, and even open pull requests. This article explains GitHub Copilot's two main agent capabilities—agent mode and the coding agent—and how they differ.

From Autocomplete to Agents

GitHub Copilot began as an AI pair programmer that suggested code as developers typed. Its agent features represent a significant expansion of that role. Instead of only completing lines, Copilot can now take on multi-step tasks: understanding intent, building a solution across multiple files, running commands, and iterating until the work is done.

These capabilities use modern models and are designed to handle low-to-medium complexity tasks in well-tested codebases. Typical work includes adding features, fixing bugs, extending tests, refactoring code, and improving documentation. The agent features come in two flavors that suit different workflows—one synchronous and interactive, the other asynchronous and autonomous.

Agent Mode

Agent mode is the synchronous, real-time agent that works alongside you in your editor. You give it a natural-language prompt, and it acts as a collaborator that understands your intent, builds a solution, and iterates until it gets the result right. It can determine which files to change, propose code edits and terminal commands for your approval, and remediate issues that come up as it works.

The interactive nature is the point: you stay in the loop, reviewing and approving the agent's proposed actions as it goes. This makes agent mode well suited to tasks you want to supervise closely, where you can guide the agent, correct its course, and approve potentially impactful steps before they execute.

The Coding Agent

The coding agent is the asynchronous, autonomous counterpart. Rather than working interactively in your editor, it runs in the background in its own development environment. You delegate a task—for example, by assigning a GitHub issue to Copilot—and the agent spins up a secure, customizable environment, researches the repository, creates an implementation plan, and makes changes on a branch.

When it works, the coding agent opens a draft pull request, so the result lands in the normal review workflow. You can examine the diff, iterate on it, and merge when ready. This delegation model is useful for offloading bounded tasks: you hand off work and review the pull request later, rather than watching the agent work in real time. It runs in a dedicated environment powered by GitHub's automation infrastructure.

Who It Is For

Copilot's agent features suit development teams already using GitHub and Copilot who want to move beyond autocomplete toward delegating tasks. Agent mode fits supervised, interactive work in the editor, while the coding agent fits asynchronous delegation that fits naturally into pull-request review. Copilot is a commercial product with capabilities tied to its subscription tiers, so availability of specific agent features depends on the plan in use.