Ai Coding Tools

How to Use Cursor and GitHub Copilot Together for Faster Coding

By BTW Team4 min read

How to Use Cursor and GitHub Copilot Together for Faster Coding (2026)

As a solo founder or indie hacker, you know that time is your most precious resource. Writing code can be a bottleneck, especially when you’re juggling multiple projects. That's where Cursor and GitHub Copilot come into play. Both tools can significantly speed up your coding process, but when combined, they create a powerful duo that can help you write code faster and more efficiently. In this guide, I'll walk you through how to integrate these tools into your workflow, share some real experiences, and discuss the tradeoffs involved.

What Are Cursor and GitHub Copilot?

Cursor

Cursor is an AI-powered code editor designed to enhance the coding experience with real-time collaboration and smart code suggestions.

  • Pricing: Free tier + $10/mo for pro features
  • Best for: Collaborative coding sessions or pair programming
  • Limitations: Less established than traditional IDEs, some features may be buggy
  • Our take: We use Cursor for team projects because it allows for seamless collaboration without the need for additional tools.

GitHub Copilot

GitHub Copilot is an AI pair programmer that suggests code snippets and entire functions based on your existing code and comments.

  • Pricing: $10/mo (individual) or $19/mo (business)
  • Best for: Developers looking for coding assistance and quick solutions
  • Limitations: Sometimes suggests inefficient or incorrect code; requires GitHub account
  • Our take: We rely on Copilot for speeding up repetitive coding tasks but always double-check its suggestions.

Integrating Cursor and GitHub Copilot

Step 1: Set Up Your Environment

Before diving into coding, ensure you have both Cursor and GitHub Copilot set up.

  • Prerequisites:
    • A GitHub account (required for Copilot)
    • Cursor installed on your machine
    • GitHub Copilot enabled in your editor (works well with VSCode and JetBrains)

Step 2: Collaborative Coding with Cursor

When working with a team, use Cursor to initiate a coding session. Invite team members to join and start collaborating.

  1. Create a new project in Cursor.
  2. Invite your team members to join the session.
  3. Start coding together. Use the chat feature for real-time discussions.

Step 3: Leveraging GitHub Copilot

While coding, use GitHub Copilot to enhance your productivity.

  1. Begin typing a function or comment that describes what you want to achieve.
  2. Wait for Copilot to suggest code. You can cycle through suggestions using the keyboard shortcuts.
  3. Accept the best suggestion by pressing Tab or manually adjust it as needed.

Step 4: Iterate and Review

After implementing suggestions from Copilot, review your code collaboratively in Cursor.

  • Check for correctness: Discuss with your team if the suggestions fit your use case.
  • Refactor as necessary: Use Cursor’s collaborative features to refactor the code together.

Troubleshooting Common Issues

  • Issue: Copilot suggests irrelevant code.

    • Solution: Refine your comments to be more descriptive.
  • Issue: Cursor lags during heavy usage.

    • Solution: Ensure a stable internet connection and check for any updates.

Pricing Comparison

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-------------------------------|------------------------------------|------------------------------------|------------------------------------| | Cursor | Free tier + $10/mo pro | Collaborative coding | Less established, potential bugs | Great for real-time collaboration | | GitHub Copilot | $10/mo (individual) | Individual coding assistance | May suggest incorrect code | Essential for speeding up coding |

Conclusion: Start Here

If you're looking to speed up your coding process, integrating Cursor and GitHub Copilot is a no-brainer. Start by setting up your accounts, then dive into collaborative coding sessions using Cursor while leveraging Copilot for intelligent code suggestions.

Both tools have their limitations, but when used together, they can dramatically enhance productivity and make coding a more enjoyable experience. We've found that this combination works best for teams of up to 5 developers, and it’s a solid choice for indie hackers looking to maximize their efficiency.

What We Actually Use: In our projects, we predominantly use Cursor for collaborative sessions and rely on GitHub Copilot for individual coding tasks. This combination has proven effective for our workflow.

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