Your GitHub Copilot Workflows, Now From Any Device: A Remote Control Guide

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Overview

Modern development rarely follows a linear, single-task path. A typical session might involve an AI agent refactoring code in your editor, another debugging tests in the terminal, and a third scaffolding a new feature — all simultaneously. For a long time, managing this multi-agent workflow meant staying tethered to your desk. The moment you walked away from your laptop, you lost visibility into every running session.

Your GitHub Copilot Workflows, Now From Any Device: A Remote Control Guide
Source: github.blog

That limitation has been removed. GitHub Copilot’s new remote control capability allows you to take your coding sessions anywhere — via github.com, the GitHub Mobile app, and directly within VS Code or JetBrains IDEs. This guide walks you through everything you need to set up and use remote control, from starting a session to completing a pull request from your phone.

Prerequisites

Before you begin, ensure you have the following:

No additional installation is needed if you already have the latest Copilot CLI or VS Code extension. Simply ensure your GitHub account is authenticated on all devices you intend to use.

Step-by-Step Instructions

1. Starting a Copilot Session

Begin a standard Copilot session wherever you normally work. For example:

Once the session is active, you can proceed to make it accessible remotely.

2. Sending a Session to the Web or Mobile

To transfer your current session from a local environment to the cloud (so you can monitor and interact from other devices), use the /remote on command. This command works within any active Copilot session, regardless of the starting tool.

Once enabled, the session appears in real time on github.com under the “Copilot” section. You can also access it from the GitHub Mobile app by navigating to your Copilot sessions.

3. Monitoring in Real Time

Open the session URL on any other device — a phone, tablet, or another computer — to see exactly what the agent is doing. The live view includes:

All updates stream in nearly real time, giving you full transparency even when away from your primary machine.

4. Steering a Session Mid-Flight

Remote control isn’t just for watching; you can interact. If the agent starts moving in a wrong direction, or you want to expand the scope, send a follow-up instruction directly from the remote interface:

Common steering commands include:

Additionally, you can approve or deny permission requests (e.g., file writes, command execution) from the remote view, maintaining security while staying mobile.

Your GitHub Copilot Workflows, Now From Any Device: A Remote Control Guide
Source: github.blog

5. Completing the Full Workflow from Anywhere

Remote control enables an end-to-end development workflow without ever returning to your desk. Here’s a concrete example using Copilot CLI:

  1. Plan and scaffold with Copilot CLI: copilot plan "create a new REST API endpoint for user profiles". The agent begins generating a plan and creating files.
  2. Use /remote on to send the session to the web or mobile.
  3. Monitor progress on your phone while commuting — watch the agent read existing code, write new files, and run tests.
  4. Steer the session with a follow-up: “Add input validation for the email field.”
  5. Review the implementation plan and proposed changes directly in the web view.
  6. Create and review a pull request right from your phone by triggering the agent to submit a PR via Copilot CLI or using the GitHub mobile interface.
  7. Merge and move on once approved.

This removes the friction of switching surfaces — no need to be at your desk to push code or merge a PR.

Privacy by Default

Your sessions are private. Only you can see or access them. Remote control does not expose your code or session to other users. The feature operates within your existing GitHub Copilot security model, and no additional sharing settings are required.

Common Mistakes

Summary

GitHub Copilot’s remote control feature transforms the way developers manage multi-agent workflows. By allowing you to start a session on one device and monitor, steer, and complete it from any device via /remote on, the tool eliminates the need to remain at your desk. Real-time visibility, mid-flight instruction changes, and full pull request lifecycle management are now possible from a web browser or mobile app. With privacy built in and no extra installation for existing users, remote control is a powerful step toward a truly multi-surface development platform.

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