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AI agents that do more than write code
Assign work, choose the right model, and steer agents from anywhere. Copilot and third-party agents like Claude by Anthropic and OpenAI Codex handle the execution while you stay focused on what to build next.
Kick off a task and move on. Copilot works asynchronously — so by the time you check back in, there's a plan to review, code to look at, or a PR ready to merge.
Choose the right agent for the job
Pick from Copilot, third-party agents like Claude and Codex, or custom agents to get the work done right.
Manage agents and tasks together
See and steer tasks from one unified view. It’s like a mission control center for everything your agents touch.
Features
Your backlog doesn’t stand a chance
Stop letting tasks pile up. Point Copilot at the issues that keep slipping and let it chip away at your backlog while you focus on the work that actually needs you.
Connect Copilot to your workflow
From GitHub Issues, Azure Boards, Jira, Raycast, or Linear, assign Copilot to an issue and your full planning context travels with it. You can also delegate from your favorite IDE, such as VS Code, or the CLI.
Assign tasks to Copilot from Slack or Teams. It pulls context from the conversation, including decisions, links, and code, so you can skip extra tickets and long prompts.
Keep your reviews moving with Copilot
Get AI-assisted reviews right in your editor or pull requests. @Mention Copilot to suggest edits, fix issues, and keep code moving.
Explore our docs for the full overview and technical breakdown of Copilot cloud agent.
Read the docs
Frequently Asked Questions
How does GitHub charge for agent tasks?
Tasks assigned to Copilot consume both GitHub Actions minutes and AI Credits.
How do I manage my company’s spending?
GitHub Copilot Business and Enterprise plans include billing tools to help you visualize your spending patterns, receive alerts when you reach budget thresholds, and optimize your license usage.
How does Copilot check for vulnerabilities and secrets in generated code?
Copilot analyzes the code that it creates with GitHub secret protection, code security, and supply chain security tools to find and fix potential issues before finalizing its pull request for your review.