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… Jun.19 Release AI credits consumed per user now in the Copilot usage metrics API account management copilot enterprise management tools Jun.18 Retired Upcoming deprecation of Opus 4.6 fast copilot Jun.18 Release MAI-Code-1-Flash available on more Copilot surfaces copilot Jun.18 Improvement Copilot …
… Jun.19 Release AI credits consumed per user now in the Copilot usage metrics API account management copilot enterprise management tools Jun.18 Retired Upcoming deprecation of Opus 4.6 fast copilot Jun.18 Release MAI-Code-1-Flash available on more Copilot surfaces copilot Jun.18 Improvement Copilot …
… Jun.19 Release AI credits consumed per user now in the Copilot usage metrics API account management copilot enterprise management tools Jun.18 Retired Upcoming deprecation of Opus 4.6 fast copilot Jun.18 Release MAI-Code-1-Flash available on more Copilot surfaces copilot Jun.18 Improvement Copilot …
… 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. …
… Rather than losing context between steps, agents help maintain continuity across your toolchain. …