How to Use Cursor and GitHub Copilot Together in 2026

As a solo founder or indie hacker, you know that coding can be a real time sink. You might be looking for ways to speed up your workflow, and that's where tools like Cursor and GitHub Copilot come into play. Both tools have their strengths, but when you use them together, they can supercharge your coding experience. This guide will walk you through how to integrate Cursor with GitHub Copilot in just 30 minutes.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following:

1. Cursor Installed: Cursor is a powerful code editor that enhances your coding experience with AI features. You can download it from Cursor's official site.

   • Pricing: Free for basic use; $15/month for the Pro version with advanced features.

2. GitHub Copilot Subscription: GitHub Copilot provides AI-driven code suggestions directly in your editor. You can sign up on the GitHub Copilot page.

   • Pricing: $10/month or $100/year.

3. A GitHub Account: Necessary to use Copilot and manage your repositories.

Step 1: Install Cursor and GitHub Copilot

• Download and Install Cursor: Follow the on-screen instructions to install Cursor on your machine. The setup usually takes about 5 minutes.

• Set Up GitHub Copilot: If you haven’t already, install the GitHub Copilot extension within Cursor. You can do this through the extensions panel in Cursor.

Step 2: Configure Your Environment

1. Open Cursor: Launch the Cursor editor.
2. Enable GitHub Copilot: Go to the extensions menu and ensure that GitHub Copilot is activated.
3. Login to GitHub: Click on the GitHub Copilot icon and log in with your GitHub account to link it with Cursor.

Expected Output:

At this point, you should see Copilot suggestions appearing as you type in the Cursor editor.

Step 3: Start Coding with AI Assistance

1. Create a New Project: Start a new JavaScript or Python project in Cursor.
2. Write Your First Function: Begin typing a function name, and watch as Copilot suggests code snippets.
3. Use Cursor's Features: Leverage Cursor’s features like code formatting and navigation while Copilot generates suggestions.

Example:

If you type function fetchData(), Copilot might suggest the full function implementation based on context.

Troubleshooting: What Could Go Wrong

1. Suggestions Not Appearing:

   • Ensure that GitHub Copilot is enabled in the extensions panel.
   • Check your internet connection as Copilot relies on cloud-based AI.

2. Cursor Lagging:

   • If Cursor becomes sluggish, try closing unnecessary applications or restarting the editor.

What’s Next?

Once you’ve got the basics down, consider exploring more advanced features of both tools. For instance, you can use Cursor’s collaborative features to share your project with others while leveraging Copilot for real-time coding suggestions.

Conclusion: Start Here

Using Cursor and GitHub Copilot together can significantly streamline your coding workflow. You can set this up in about 30 minutes, and the time you save on coding can be redirected towards building your product. If you're looking for a way to accelerate your development process, give this integration a shot.

Comparison Table: Cursor vs. GitHub Copilot

| Feature | Cursor | GitHub Copilot | |-------------------|------------------------------|-----------------------------| | What It Does | AI-powered code editor | AI-driven code suggestions | | Pricing | Free / $15/mo Pro | $10/mo or $100/year | | Best For | Enhanced coding experience | Code suggestion and completion | | Limitations | Limited to code editing | Requires internet connection | | Our Take | We use this for daily coding | We rely on this for suggestions |

What We Actually Use

In our workflow, we primarily use Cursor for its intuitive interface and GitHub Copilot for its smart code suggestions. Together, they save us time and help us focus on building rather than coding.