Using agent mode in your IDE

Give Copilot a task and let it work autonomously in your editor, editing files across your project and running commands until the task is complete.

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이 기사에서

Introduction

In agent mode, Copilot takes a high-level task, decides which files to change, makes the edits, and runs commands as needed, iterating until the task is done. You stay in control: you review the changes, and by default you approve commands before they run. Your administrator, or your own editor settings, may allow some commands to run automatically.

Agent mode is available in Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, and Eclipse. The steps differ by editor, so click the tabs above for instructions for your IDE.

For how to open Copilot Chat and choose between the available modes, see Asking GitHub Copilot questions in your IDE.

특정 작업을 염두에 두고 Copilot이 코드를 자동으로 편집하려는 경우 에이전트 모드를 사용합니다. 에이전트 모드에서는 Copilot이 변경할 파일을 결정하고, 작업을 완료하기 위한 코드 변경 및 터미널 명령을 제공하고, 원래 작업이 완료될 때까지 문제를 해결하기 위해 반복합니다.

에이전트 모드는 다음과 같은 경우에 사용하기 가장 적합합니다.

  • 작업이 복잡하고 다단계, 반복, 오류 처리가 포함되는 경우.
  • Copilot으로 하여금 작업 완료에 필요한 단계를 결정하게 하려는 경우.
  • 이 작업을 수행하려면 Copilot을 MCP 서버 등과 같은 외부 애플리케이션에 통합시켜야 합니다.

Using agents

  1. If the chat view is not already displayed, select Open Chat from the Copilot Chat menu.
  2. At the bottom of the chat view, ensure Agent is selected from the agents dropdown.
  3. Submit a prompt. In response to your prompt, Copilot streams the edits in the editor, updates the working set, and runs terminal commands if necessary.
  4. Review and iterate on changes or run a code review.

You can also click this link to go directly to agent mode in VS Code.

참고

If you don’t see the Agent option in the mode selector, your enterprise or organization administrator may have disabled agent mode for your IDE.

For more information, see Chat overview in the Visual Studio Code documentation.

에이전트 모드를 사용하면 입력하는 각 프롬프트마다 GitHub AI Credits이(가) 소모됩니다.

Steering an agent while it works

Agent mode is interactive. While Copilot is working, you can:

  • Submit a follow-up prompt to redirect the agent before it finishes.
  • Confirm or reject each terminal command the agent proposes, unless it has been configured to run automatically.
  • Review streamed edits as they appear and undo any you do not want.

If a task is large or ambiguous, consider drafting an implementation plan first. See Using plan mode in your IDE.

Choosing a model or a custom agent

Before you submit a task, you can change which AI model the agent uses, or select a custom agent tailored to a specific kind of work.

Extending agent mode with tools

Much of agent mode's capability comes from the tools it can call. You can extend the agent with Model Context Protocol (MCP) servers, which add tools for working with external systems and with GitHub itself.

To hand a self-contained subtask to a separate agent with its own context, see Using subagents in your IDE.

Further reading

Use agent mode when you have a specific task in mind and want to enable Copilot to autonomously edit your code. In agent mode, Copilot determines which files to make changes to, offers code changes and terminal commands to complete the task, and iterates to remediate issues until the original task is complete.

Agent mode is available in Visual Studio 17.14 and later.

Using agent mode

  1. In the Visual Studio menu bar, click View, then click GitHub Copilot Chat.
  2. At the bottom of the chat panel, select Agent from the mode dropdown.
  3. Submit a prompt. In response to your prompt, Copilot streams the edits in the editor, updates the working set, and if necessary, suggests terminal commands to run.
  4. Review the changes. If Copilot suggested terminal commands, confirm whether or not Copilot can run them. In response, Copilot iterates and performs additional actions to complete the task in your original prompt.

When you use Copilot agent mode, each prompt you enter consumes GitHub AI Credits.

Choosing a model

Before you submit a task, you can change which AI model the agent uses. See Changing the AI model for GitHub Copilot Chat.

Extending agent mode with tools

You can extend the agent with Model Context Protocol (MCP) servers, which add tools for working with external systems and with GitHub itself.

Further reading

특정 작업을 염두에 두고 Copilot이 코드를 자동으로 편집하려는 경우 에이전트 모드를 사용합니다. 에이전트 모드에서는 Copilot이 변경할 파일을 결정하고, 작업을 완료하기 위한 코드 변경 및 터미널 명령을 제공하고, 원래 작업이 완료될 때까지 문제를 해결하기 위해 반복합니다.

에이전트 모드는 다음과 같은 경우에 사용하기 가장 적합합니다.

  • 작업이 복잡하고 다단계, 반복, 오류 처리가 포함되는 경우.
  • Copilot으로 하여금 작업 완료에 필요한 단계를 결정하게 하려는 경우.
  • 이 작업을 수행하려면 Copilot을 MCP 서버 등과 같은 외부 애플리케이션에 통합시켜야 합니다.

Using agent mode

  1. To start an edit session using agent mode, click Copilot in the menu bar, then select Open GitHub Copilot Chat.
  2. At the top of the chat panel, click the Agent tab.
  3. Submit a prompt. In response to your prompt, Copilot streams the edits in the editor, updates the working set, and if necessary, suggests terminal commands to run.
  4. Review the changes. If Copilot suggested terminal commands, confirm whether or not Copilot can run them. In response, Copilot iterates and performs additional actions to complete the task in your original prompt.

에이전트 모드를 사용하면 입력하는 각 프롬프트마다 GitHub AI Credits이(가) 소모됩니다.

Steering an agent while it works

Agent mode is interactive. While Copilot is working, you can submit a follow-up prompt to redirect the agent, and confirm or reject each terminal command it proposes.

If a task is large or ambiguous, consider drafting an implementation plan first. See Using plan mode in your IDE.

Choosing a model or a custom agent

Before you submit a task, you can change which AI model the agent uses, or select a custom agent tailored to a specific kind of work.

Extending agent mode with tools

You can extend the agent with Model Context Protocol (MCP) servers, which add tools for working with external systems and with GitHub itself.

To hand a self-contained subtask to a separate agent with its own context, see Using subagents in your IDE.

Further reading

특정 작업을 염두에 두고 Copilot이 코드를 자동으로 편집하려는 경우 에이전트 모드를 사용합니다. 에이전트 모드에서는 Copilot이 변경할 파일을 결정하고, 작업을 완료하기 위한 코드 변경 및 터미널 명령을 제공하고, 원래 작업이 완료될 때까지 문제를 해결하기 위해 반복합니다.

에이전트 모드는 다음과 같은 경우에 사용하기 가장 적합합니다.

  • 작업이 복잡하고 다단계, 반복, 오류 처리가 포함되는 경우.
  • Copilot으로 하여금 작업 완료에 필요한 단계를 결정하게 하려는 경우.
  • 이 작업을 수행하려면 Copilot을 MCP 서버 등과 같은 외부 애플리케이션에 통합시켜야 합니다.

Using agent mode

  1. If it is not already displayed, open the Copilot Chat window by clicking Editor in the menu bar, then clicking GitHub Copilot then Open Chat.
  2. At the bottom of the chat panel, select Agent from the agents dropdown.
  3. Optionally, add relevant files to the working set view to indicate to Copilot which files you want to work on.
  4. Submit a prompt. In response to your prompt, Copilot streams the edits in the editor, updates the working set, and if necessary, suggests terminal commands to run.
  5. Review the changes. If Copilot suggested terminal commands, confirm whether or not Copilot can run them. In response, Copilot iterates and performs additional actions to complete the task in your original prompt.

에이전트 모드를 사용하면 입력하는 각 프롬프트마다 GitHub AI Credits이(가) 소모됩니다.

Steering an agent while it works

Agent mode is interactive. While Copilot is working, you can submit a follow-up prompt to redirect the agent, and confirm or reject each terminal command it proposes.

If a task is large or ambiguous, consider drafting an implementation plan first. See Using plan mode in your IDE.

Choosing a model

Before you submit a task, you can change which AI model the agent uses. See Changing the AI model for GitHub Copilot Chat.

To hand a self-contained subtask to a separate agent with its own context, see Using subagents in your IDE.

Further reading

특정 작업을 염두에 두고 Copilot이 코드를 자동으로 편집하려는 경우 에이전트 모드를 사용합니다. 에이전트 모드에서는 Copilot이 변경할 파일을 결정하고, 작업을 완료하기 위한 코드 변경 및 터미널 명령을 제공하고, 원래 작업이 완료될 때까지 문제를 해결하기 위해 반복합니다.

에이전트 모드는 다음과 같은 경우에 사용하기 가장 적합합니다.

  • 작업이 복잡하고 다단계, 반복, 오류 처리가 포함되는 경우.
  • Copilot으로 하여금 작업 완료에 필요한 단계를 결정하게 하려는 경우.
  • 이 작업을 수행하려면 Copilot을 MCP 서버 등과 같은 외부 애플리케이션에 통합시켜야 합니다.

Using agent mode

  1. Open the Copilot Chat panel by clicking the Copilot icon () in the status bar at the bottom of Eclipse, then clicking Open Chat.
  2. At the bottom of the chat panel, select Agent from the agents dropdown.
  3. Submit a prompt. In response to your prompt, Copilot streams the edits in the editor, updates the working set, and if necessary, suggests terminal commands to run.
  4. Review the changes. If Copilot suggested terminal commands, confirm whether or not Copilot can run them. In response, Copilot iterates and performs additional actions to complete the task in your original prompt.

에이전트 모드를 사용하면 입력하는 각 프롬프트마다 GitHub AI Credits이(가) 소모됩니다.

Steering an agent while it works

Agent mode is interactive. While Copilot is working, you can submit a follow-up prompt to redirect the agent, and confirm or reject each terminal command it proposes.

If a task is large or ambiguous, consider drafting an implementation plan first. See Using plan mode in your IDE.

Choosing a model

Before you submit a task, you can change which AI model the agent uses. See Changing the AI model for GitHub Copilot Chat.

To hand a self-contained subtask to a separate agent with its own context, see Using subagents in your IDE.

Further reading