GitHub Copilot cloud agent

You can ask Copilot to create a pull request from many places, including GitHub Issues, the agents panel, Copilot Chat, the GitHub CLI, and agentic coding tools and IDEs with Model Context Protocol (MCP) support.

You can use the agents panel or page, Visual Studio Code, JetBrains IDEs, Eclipse, the GitHub CLI, Raycast and session logs to track Copilot's progress and understand its approach.

You can create specialized agents with tailored expertise for specific development tasks.

Ensure your custom agents are performant and compliant before releasing them to your company.

You can modify Copilot's behavior and abilities when it works on particular tasks.

Learn how to use the Model Context Protocol (MCP) to extend the capabilities of Copilot cloud agent.

You can use the GitHub integration in Jira to provide context and open pull requests, all from within your Jira workspace.

Provide context to the Copilot cloud agent and open pull requests, all from within your Slack workspace.

You can use the GitHub integration in Teams to provide context and open pull requests all from within your Teams channels.

Use the Copilot integration in Linear to provide context and open pull requests, all from within your Linear workspace.

Use the Copilot integration in Azure Boards to send work items directly to Copilot cloud agent and generate pull requests, all from within your Azure DevOps workspace.

In supported entrypoints, when starting a task with Copilot cloud agent, you can select the model used.

Learn how to configure settings for Copilot cloud agent

Learn how to customize GitHub Copilot's development environment with additional tools.

Learn how to control the domains and URLs that Copilot cloud agent can access.

Extend and customize GitHub Copilot agent behavior by executing custom shell commands at key points during agent execution.

Learn how to resolve problems that may occur when you assign tasks to Copilot.