Ai Coding Tools

How to Integrate GitHub Copilot with Visual Studio Code in Under 30 Minutes

By BTW Team3 min read

How to Integrate GitHub Copilot with Visual Studio Code in Under 30 Minutes

Integrating GitHub Copilot with Visual Studio Code can feel daunting, especially if you're juggling multiple projects or dealing with tight deadlines. As a solo founder or indie hacker, you need tools that actually save you time—not ones that require hours of setup. The good news? You can get GitHub Copilot up and running in under 30 minutes. This guide will walk you through the process step-by-step, ensuring you can leverage AI to boost your coding efficiency.

Prerequisites: What You Need

Before diving into the integration, make sure you have the following:

  • Visual Studio Code: Download and install from here. Ensure you're using the latest version (as of April 2026, the current version is 1.70.0).
  • GitHub Account: If you don't have one, create a free account at GitHub.
  • GitHub Copilot Subscription: GitHub Copilot costs $10/month or $100/year. There's a free trial available for new users.
  • Basic Understanding of Visual Studio Code: Familiarity with the interface will help speed up the setup process.

Step 1: Install GitHub Copilot Extension

  1. Open Visual Studio Code.
  2. Go to the Extensions Marketplace by clicking on the Extensions icon in the Activity Bar on the side.
  3. Search for "GitHub Copilot" in the search bar.
  4. Click on the Install button for the GitHub Copilot extension.

Expected Output: After installation, you should see the GitHub Copilot icon in the status bar at the bottom of the editor.

Step 2: Sign In to GitHub

  1. Once the extension is installed, click on the GitHub Copilot icon in the status bar.
  2. A prompt will appear asking you to sign in. Click on Sign In.
  3. This will redirect you to your web browser where you need to authenticate your GitHub account.

Expected Output: After successful authentication, you’ll see a confirmation message in Visual Studio Code.

Step 3: Configure Settings (Optional)

  1. Open your command palette (Ctrl + Shift + P on Windows or Cmd + Shift + P on Mac).
  2. Type "Preferences: Open Settings (UI)" and click on it.
  3. Search for "Copilot" to access the extension settings.
  4. Here, you can customize suggestions, toggle inline suggestions, and more.

Expected Output: Custom settings will enhance your experience, making Copilot more aligned with your coding style.

Step 4: Start Coding with Copilot

  1. Open a new or existing file in a supported programming language (JavaScript, Python, TypeScript, etc.).
  2. Start typing your code, and GitHub Copilot will provide inline suggestions.

Expected Output: You should see gray text appearing as suggestions. Press Tab to accept a suggestion or keep typing to refine it.

Troubleshooting: Common Issues

  • No Suggestions Appearing: Ensure that you are in a supported language file and that you are signed in.
  • Slow Performance: If Copilot is lagging, try restarting Visual Studio Code or checking your internet connection.
  • Authentication Problems: Double-check that your GitHub account has an active Copilot subscription.

What's Next?

Now that you have GitHub Copilot integrated with Visual Studio Code, consider exploring these additional tools to enhance your workflow:

  1. Prettier: Code formatter that works seamlessly with VS Code.
  2. ESLint: Linter for JavaScript and TypeScript to catch errors and enforce coding standards.
  3. Live Share: Collaborate in real time with others directly in VS Code.

Conclusion: Start Here

Integrating GitHub Copilot with Visual Studio Code is straightforward and can significantly boost your productivity. Follow the steps outlined above, and you'll be coding with AI assistance in no time.

If you run into any hiccups, remember that the community forums and GitHub documentation are great resources.

For those looking to enhance their coding experience further, consider exploring the additional tools mentioned.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

Cursor vs Codeium: Which AI Coding Assistants Should You Choose in 2026?

Cursor vs Codeium: Which AI Coding Assistants Should You Choose in 2026? As a solo founder or indie hacker, finding the right AI coding assistant can feel like searching for a need

Apr 13, 20264 min read
Ai Coding Tools

How to Set Up GitHub Copilot in 15 Minutes for Your First Project

How to Set Up GitHub Copilot in 15 Minutes for Your First Project If you're a solo founder or indie hacker like me, you might feel overwhelmed by the number of coding tools availab

Apr 13, 20263 min read
Ai Coding Tools

Why Most People Overrate AI Coding Tools: Myths vs Reality

Why Most People Overrate AI Coding Tools: Myths vs Reality In 2026, it feels like every other tweet is bragging about how AI coding tools are going to replace developers. The hype

Apr 13, 20264 min read
Ai Coding Tools

How to Build a Simple App Using AI Tools in 3 Hours

How to Build a Simple App Using AI Tools in 3 Hours Building an app might sound daunting, especially if you're a solo founder or indie hacker with limited time. But what if I told

Apr 13, 20264 min read
Ai Coding Tools

Why GitHub Copilot is Overrated: The Hidden Downsides

Why GitHub Copilot is Overrated: The Hidden Downsides As a solo founder or indie hacker, you might have heard the hype around GitHub Copilot and wondered if it's the tool that will

Apr 13, 20264 min read
Ai Coding Tools

How to Set Up GitHub Copilot for Optimal Coding in 15 Minutes

How to Set Up GitHub Copilot for Optimal Coding in 15 Minutes If you're a solo founder or indie hacker, you know that every minute spent coding counts. GitHub Copilot can be a game

Apr 13, 20263 min read