Ai Coding Tools

How to Use Cursor & GitHub Copilot Together for Maximum Efficiency

By BTW Team3 min read

How to Use Cursor & GitHub Copilot Together for Maximum Efficiency

As indie hackers and solo founders, we’re always looking for ways to maximize our coding efficiency. Cursor and GitHub Copilot are two powerful tools that can significantly streamline our development processes when used together. In 2026, these tools have evolved to offer even better integration and features that can supercharge your coding workflow. Let’s dive into how to effectively use Cursor and GitHub Copilot together, including what you need to get started and some insights from our own experiences.

Prerequisites: What You Need to Get Started

Before we jump in, here’s what you’ll need to make the most of Cursor and GitHub Copilot:

  1. Cursor: This is a developer-focused code editor that enhances coding productivity with features like smart completions and fast navigation.

    • Pricing: Free for basic features, $15/month for the Pro version with advanced features.
  2. GitHub Copilot: An AI-powered code completion tool that suggests code snippets based on your current context.

    • Pricing: $10/month per user with a free trial available.
  3. Basic understanding of JavaScript or Python: This guide assumes you’re familiar with at least one programming language.

Step-by-Step Guide to Integrating Cursor with GitHub Copilot

You can finish this setup in about 30 minutes. Follow these steps:

1. Install Cursor and GitHub Copilot

  • Cursor: Download and install Cursor from their website.
  • GitHub Copilot: Install the GitHub Copilot extension from the VS Code marketplace.

2. Configure GitHub Copilot in Cursor

  • Open Cursor and navigate to the settings.
  • Find the GitHub Copilot integration setting and enable it.
  • Ensure you’re logged into your GitHub account to access Copilot.

3. Start a New Project

  • Create a new project in Cursor.
  • Choose your preferred programming language (JavaScript or Python recommended).

4. Begin Coding with Copilot Suggestions

  • As you type, GitHub Copilot will suggest code snippets.
  • Use the Tab key to accept suggestions or the arrow keys to navigate through multiple suggestions.

5. Utilize Cursor Features

  • Take advantage of Cursor’s smart navigation features to quickly jump between files and functions.
  • Use the search functionality to find specific code snippets or functions you’ve written.

6. Test and Iterate

  • Run your code directly in Cursor to test the suggestions made by Copilot.
  • Make adjustments based on how well the suggestions fit your project needs.

Expected Outputs

After following these steps, you should be able to:

  • Code more efficiently by leveraging Copilot's AI suggestions directly within Cursor.
  • Reduce context switching between different tools, as everything is integrated into one environment.

Troubleshooting Common Issues

  • Copilot Suggestions Not Appearing: Make sure you’re logged into GitHub and that Copilot is enabled in Cursor settings.
  • Cursor Performance Issues: If Cursor runs slowly, check for updates or consider upgrading your machine’s specs.

What's Next: Maximizing Your Workflow

Once you’ve mastered using Cursor and GitHub Copilot together, consider these next steps:

  • Explore advanced features in both tools to further enhance your coding efficiency.
  • Experiment with different programming languages and frameworks to see how the integration holds up.
  • Share your experiences in the indie hacker community to help others optimize their workflows.

Conclusion: Start Here for Maximum Efficiency

Combining Cursor with GitHub Copilot can significantly boost your coding productivity. If you haven’t already, I recommend trying this setup today. The integration allows you to focus more on problem-solving rather than repetitive coding tasks.

What We Actually Use

In our experience, we primarily use Cursor for its fast navigation and GitHub Copilot for its robust code suggestions. This combo works great for building side projects efficiently, especially when we need to iterate quickly without getting bogged down in boilerplate code.

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