A custom agent is a Copilot agent that can be defined using a Markdown file. Instead of relying on generic behavior, you describe how the agent should operate, what tools it can use, what standards it should follow, and what outputs it should produce. The result: its behavior is consistent wherever it runs. Each coding agent you create can act as a specialized agent tailored for a specific task. For example, a generic coding agent might suggest how to clean up your code. But a custom agent can apply your formatting rules, tooling, accessibility standards, review requirements, and safety requir
From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI… According to Gartner, “By 2028, asynchronous AI coding agent workflows will improve software engineering team productivity by 30% to 50%, surpassing the 0% to 20% gains from AI code assistants in 2025.” We believe realizing those gains requires agentic capabilities across every stage of the SDLC—no… …
… Since entering public preview, the SDK has been used to build everything from CI/CD assistants and internal developer tools to customer-facing AI features. …
… As AI agents become a larger part of the software development lifecycle, secure execution environments become foundational infrastructure, and sandboxes provide that layer for Copilot. …
… Moving beyond AI assistance, the app has provided a much-needed control center for agentic development. Our Forward Deployed Engineers can dispatch a cohort of agents and manage multiple initiatives, all from one location. …
… Rather than losing context between steps, agents help maintain continuity across your toolchain. …
… Your data will not be used for AI training. Private repositories : This update does not change our treatment of private repository source code stored on GitHub. We do not use private repository content at rest to train AI models. …