How to Set Up GitHub Copilot in a New Visual Studio Project

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you type. When you start a new Visual Studio project, Copilot is not automatically enabled. You need to install the extension, sign in with a GitHub account that has an active Copilot subscription, and verify the integration works inside your project environment. This article explains the complete setup process for GitHub Copilot in a new Visual Studio project, covering installation, authentication, and initial configuration.

What GitHub Copilot Does in Visual Studio

GitHub Copilot provides AI-generated code suggestions directly in the editor. It analyzes the context of your current file including comments function names and surrounding code to propose completions. The tool supports C# C++ JavaScript Python TypeScript and many other languages commonly used in Visual Studio projects.

Before you can use Copilot you need the following:

• Visual Studio 2022 version 17.4 or later installed on Windows
• A GitHub account with an active Copilot subscription Individual Business or Enterprise
• Internet access to authenticate and receive suggestions from the Copilot service

Copilot does not require any additional SDKs or project templates. It works with any .NET C++ or web project type. The extension communicates with the GitHub Copilot backend over HTTPS and does not store your code on GitHub servers.

Steps to Install and Enable GitHub Copilot for a New Project

Follow these steps to set up Copilot in a new Visual Studio project. The process covers installation authentication and verification.

1. Open Visual Studio and go to Extensions
   Launch Visual Studio 2022. On the top menu click Extensions then select Manage Extensions. This opens the Extensions Manager window where you can browse and install extensions.
2. Search for GitHub Copilot
   In the Extensions Manager click the Online tab on the left. Type GitHub Copilot in the search box. The official extension published by GitHub appears in the results. Verify the publisher is GitHub Inc. and the extension name matches.
3. Install the extension
   Click the Download button next to the GitHub Copilot extension. Visual Studio downloads the package and prompts you to close the IDE to complete installation. Click Close and wait for the VSIX installer to run. Follow the installer prompts and restart Visual Studio when prompted.
4. Create a new project
   After restarting click Create a new project on the start window. Choose a project template such as Console App ASP.NET Core Web API or Class Library. Set your project name location and solution name then click Create.
5. Sign in to GitHub from the Copilot status icon
   Look at the Visual Studio status bar at the bottom of the window. You see a Copilot icon that looks like a small robot head. Click the icon. A dialog asks you to sign in to GitHub. Click Sign in. Your default browser opens a GitHub authorization page. Enter your GitHub credentials and authorize the Copilot extension. If you have two-factor authentication enabled complete that step as well.
6. Verify Copilot activation
   Return to Visual Studio. The Copilot icon in the status bar changes to a solid filled robot head indicating Copilot is active. Open a code file such as Program.cs or Startup.cs. Start typing a function name like private void or a comment like // calculate total. Copilot displays a gray suggestion. Press Tab to accept the suggestion or Esc to dismiss it.
7. Adjust Copilot settings if needed
   Go to Tools > Options > GitHub > Copilot. Here you can enable or disable the following options:
   • Enable GitHub Copilot – turns suggestions on or off globally
   • Enable completions – controls whether inline suggestions appear
   • Enable ghost text – shows or hides the preview text in the editor

   Changes take effect immediately without restarting Visual Studio.

Common Setup Issues and How to Resolve Them

Copilot icon shows a crossed-out robot head

This icon means Copilot is disabled or not authenticated. Click the icon and select Enable Copilot. If the option is grayed out sign out and sign in again using the Sign in button in the same menu.

No suggestions appear after signing in

Check your internet connection. Copilot requires a live connection to the GitHub API. Also verify that your GitHub Copilot subscription is active by visiting github.com/settings/copilot. If the subscription is expired you need to renew it before suggestions work.

Copilot suggestions are slow or delayed

This can happen if your project file is very large or if the network latency is high. Try closing unused files and tabs. You can also reduce the suggestion frequency by going to Tools > Options > GitHub > Copilot and setting Completion delay to a higher value like 1500 milliseconds.

Copilot suggests code in the wrong language

Copilot detects the programming language based on the file extension. Make sure your file has the correct extension such as .cs for C# .py for Python or .js for JavaScript. If you rename a file with a different extension Copilot may misinterpret the context.

GitHub Copilot Free vs GitHub Copilot Pro: Key Differences

Item	GitHub Copilot Free	GitHub Copilot Pro
Monthly price	Free for verified students teachers and open-source maintainers	$10 per month for individual users
Code suggestions	Up to 2000 completions per month	Unlimited completions
Chat support	Not included	GitHub Copilot Chat in IDE
Organization access	No	Yes via Copilot Business or Enterprise
Supported IDEs	Visual Studio Code JetBrains Neovim	All supported IDEs including Visual Studio

Copilot Free is limited in monthly completions and does not include the chat feature. For active development in Visual Studio the Pro subscription is recommended because it removes the monthly cap and adds chat-based assistance. If you are part of a team check whether your organization provides a Copilot Business license.

After completing the setup you can now use GitHub Copilot in your new Visual Studio project. The extension will suggest code as you type based on the project context and your coding patterns. To get the most out of Copilot write clear comments and define function signatures before the body. This helps the AI generate more accurate suggestions. As a next step explore the Copilot Chat panel available from View > Other Windows > GitHub Copilot Chat to ask questions about your code or generate code from natural language prompts.