How to Streamline Your Development Workflow with GitHub Copilot's New Desktop App

Introduction

GitHub has reimagined its Copilot coding assistant by releasing a standalone desktop application that centralizes agent management, issue tracking, pull request handling, and development sessions into one interface. This guide walks you through accessing, installing, and maximizing the new GitHub Copilot app—whether you're a seasoned user or exploring autonomous coding agents for the first time. By the end, you'll know how to launch tasks directly from GitHub issues, run multiple coding agents simultaneously, and review changes without juggling terminals, editors, and browser tabs.

What You Need

• GitHub Copilot subscription: Business or Enterprise plan for immediate public preview access; Pro or Pro+ users may join a waitlist.
• Supported operating system: macOS, Windows, or Linux (64‑bit).
• GitHub account with an active Copilot subscription linked.
• Internet connection for downloading the app and communicating with GitHub’s backend.
• Basic familiarity with GitHub repositories, issues, and pull requests.

Step-by-Step Guide

Step 1: Obtain Access to the GitHub Copilot App

Before you can use the desktop app, confirm your eligibility:

• Business or Enterprise subscribers: The technical preview is open to you. Visit the official GitHub Copilot app page and follow the sign-up instructions.
• Pro and Pro+ users: Join the waitlist from the same page. GitHub emails you when a spot opens—typically within a few days.
• Free trial users: Upgrade to at least Pro to get on the waitlist.

Tip: Keep an eye on the launch date hinted at June 2 in official materials; a wider rollout may remove waitlists.

Step 2: Download and Install the Desktop Application

Once access is granted, install the app:

1. Go to the GitHub Copilot app download page.
2. Select your operating system (macOS, Windows, or Linux) and download the installer.
3. Run the installer and follow the on-screen prompts. On macOS, drag the app to the Applications folder; on Windows, run the executable; on Linux, use the provided package file (e.g., .deb or .rpm).
4. Launch the app after installation.

Step 3: Sign In and Configure Your Environment

When you first open the app:

1. Click Sign in with GitHub and authorize the app to access your repositories, issues, and pull requests.
2. Select the repositories you want to manage through the app. You can change this later in settings.
3. Optionally, connect your preferred code editor (VS Code, JetBrains, etc.) for direct file editing from the app.
4. Review the unified inbox—the app will surface recent issues and PRs automatically.

The interface resembles a project hub with three main panels: a left sidebar for navigation, a center workspace for active sessions, and a right panel for progress logs.

Step 4: Launch Agents from Issues, Prompts, or Existing Sessions

The core functionality is initiating Copilot agents to automate coding tasks. Here's how:

• From an issue: In the unified inbox, click an issue. The app shows a “Run with Copilot” button. Press it to spawn an agent that analyzes the issue, proposes code changes, and even creates a pull request.
• From a prompt: Use the command bar at the top (e.g., “Add error handling to file X”) to start a fresh agent session. The app converts your natural language into concrete actions.
• From existing code: If you have a session open, click the + New Agent button inside the session workspace. The agent works on the same code context.

Each agent runs independently, allowing you to delegate multiple tasks concurrently.

Step 5: Monitor and Manage Multiple Agents

While agents work, you can supervise them:

1. View all active agents in the Sessions pane (left sidebar). Each shows a status (running, paused, completed).
2. Click an agent to see its real-time logs—file changes, test outputs, and reasoning traces.
3. Pause an agent if you need to review partial changes before proceeding.
4. Resume paused sessions at any time; the agent picks up where it left off.

The app also shows repository context—which files are affected, so you can avoid conflicts between concurrent agents.

Step 6: Review and Integrate Changes

Once an agent finishes:

• Open the proposed diff in the side-by-side review panel. Changes are highlighted per file.
• Leave inline feedback directly on the diff (e.g., “Refactor this function”). The agent can incorporate it as a follow‑up.
• If satisfied, click Create Pull Request. The app opens the PR in GitHub with all changes pre‑staged.
• To discard and retry, click Discard Changes—the agent resets its working copy.

You can also resume a completed session later to add more work without starting over.

Step 7: Use the Unified Inbox for Ongoing Project Management

Keep your workflow continuous:

• New issues and PRs appear in the inbox automatically. Each item shows priority, label, and assignee.
• Click any item to instantly spawn a Copilot agent (as in Step 4) or assign it to an existing session.
• Use the search bar to filter by repository, author, or status.

This inbox eliminates the need to switch between GitHub.com, your terminal, and your editor for everyday tasks.

Tips for Getting the Most Out of the GitHub Copilot App

• Start small: Delegate a single, well‑defined issue first (e.g., “Fix typo in README”) to see how the agent structure changes.
• Combine with Copilot CLI: The desktop app is built on the same underlying CLI—use the terminal for quick commands and the GUI for complex multi‑agent orchestration.
• Review logs regularly: Agents output reasoning steps; reading them helps you refine future prompts.
• Leverage multiple agents: Run one agent to refactor a module while another writes documentation—double your velocity.
• Stay updated: GitHub frequently adds features to the preview. Check the app’s settings pane for update notifications.
• Remember the context window: If your repository is very large, agents may need explicit file paths in prompts to avoid slowdown.

By following these steps, you’ll transform Copilot from a simple editor plugin into an autonomous coding teammate—all within a single, dedicated desktop experience.