Customize the reasoning level for Copilot cloud agent

When you delegate a task to the **GitHub Copilot cloud agent**, you can now set a **reasoning level** for models that support that control. The change shipped via the **GitHub Changelog** and is covered on the **GitHub Blog** under the title “Customize the reasoning level for Copilot cloud agent.”

The control sits on the task-delegation path: you assign work to the cloud agent, then choose how hard the underlying model should reason before it acts. Only models that expose a reasoning-level setting honor the choice; others keep their default behavior. The product intent is direct—you decide how much reasoning the agent applies for that run.

For engineers and builders, this turns a fixed agent loop into a tunable one. Harder multi-step refactors, ambiguous bugs, or design-heavy tickets can use more reasoning; narrow, well-scoped chores can stay lighter. That reduces one-size-fits-all agent runs and lets teams match cost and latency to task difficulty without leaving the Copilot cloud agent workflow.

In market terms, GitHub is aligning Copilot’s cloud agent with the broader shift toward explicit reasoning controls on capable models. Instead of only picking a model, operators get a second dial—how much reasoning that model should spend—inside the same delegation UI. That keeps Copilot competitive with other coding agents that already expose effort or thinking depth as a first-class setting.

Practical takeaway: when you next hand work to the Copilot cloud agent, check whether the selected model supports a reasoning level and set it before you start. Watch how GitHub documents which models honor the control and whether default levels change per model, since those details will decide when the setting is available and how much it actually moves agent quality for your workload.