GitHub Updates Copilot Cloud Agent to Research and Plan Before Writing Code

This shift moves AI from a reactive autocomplete tool to a proactive collaborator. By requiring an approved implementation plan before execution, the system introduces a human-in-the-loop checkpoint. This reduces the risk of the agent pursuing incorrect technical directions during complex, repository-wide refactors or feature additions.

You can trigger these capabilities through the Agents tab in your repository or via Copilot Chat. These features are available to all paid Copilot plans, though Business and Enterprise administrators must manually enable the agent. You can now iterate on a branch until the work is ready for a formal review.