How to Use GitHub Copilot and Cursor for Faster Code Reviews in 2026

As a solo founder or indie hacker, you're probably all too familiar with the time-consuming process of code reviews. In 2026, with tools like GitHub Copilot and Cursor, we can significantly speed up this process. But how do you actually implement these tools effectively? In this guide, I’ll walk you through a practical approach to using GitHub Copilot and Cursor to enhance your code review workflow. You can finish this in about 2 hours.

Prerequisites

Before diving in, make sure you have the following:

• GitHub account: Necessary for accessing repositories and using Copilot.
• Cursor installed: Download and install Cursor from their website.
• Basic knowledge of Git and code review processes: Familiarity with what to look for during a review.

Step 1: Set Up GitHub Copilot

GitHub Copilot is an AI-powered coding assistant that suggests code snippets based on your input. Here’s how to set it up:

1. Install the GitHub Copilot extension for your code editor (supports VS Code, JetBrains, etc.).
2. Sign in with your GitHub account to activate the tool.
3. Start a new project or open an existing one where you want to implement code reviews.

Expected Output

Once set up, you should see inline suggestions as you type code. This is Copilot working to enhance your coding experience.

Step 2: Use Cursor for Code Review

Cursor is designed to streamline the code review process, providing a more intuitive interface for collaboration. Here’s how to use it:

1. Open your project in Cursor.
2. Navigate to the code review section of your project.
3. Utilize Cursor’s features like commenting, version control, and real-time collaboration.

Expected Output

You should see a clean interface where you can comment on lines of code, see suggested changes, and track revisions.

Step 3: Integrate Copilot with Cursor

Combining these two tools can drastically reduce the time spent on code reviews. Here’s how:

1. As you review code in Cursor, let Copilot suggest improvements or fixes for the code.
2. Accept or modify Copilot’s suggestions directly in the Cursor interface.
3. Leave comments on the suggestions to facilitate discussions with your team.

Expected Output

Your code reviews should become faster and more efficient, with less back-and-forth on minor issues.

Troubleshooting

What Could Go Wrong

• Copilot might suggest incorrect code: Always verify suggestions before implementing.
• Cursor may lag with large codebases: If this happens, try closing unnecessary tabs or simplifying your view.

Solutions

• For incorrect Copilot suggestions, use the “Regenerate” feature to get different suggestions.
• If Cursor lags, consider upgrading your hardware or optimizing your setup.

Pricing Breakdown

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|---------------------------------|------------------------------|--------------------------------------|------------------------------------------------| | GitHub Copilot | $10/mo or $100/year | Individual developers | Not perfect; requires oversight | We use it for quick code suggestions. | | Cursor | Free tier + $15/mo for pro | Teams needing collaboration | Limited features in free tier | We prefer Pro for enhanced collaboration tools.|

Conclusion: Start Here

To speed up your code reviews in 2026, start by setting up GitHub Copilot and Cursor. Use Copilot for quick code suggestions and Cursor for a collaborative review experience. These tools can save you significant time, allowing you to focus on building instead of reviewing.

What We Actually Use

In our experience, we rely heavily on GitHub Copilot for coding assistance and Cursor for team collaboration during code reviews. If you're looking for a streamlined process, these tools are worth considering.