How to Use GitHub Copilot for Efficient Code Reviews in 2026

As indie hackers and solo founders, we often wear many hats, and code reviews can be one of the most time-consuming parts of our development process. While they're crucial for maintaining code quality, the traditional approach can feel tedious and slow. Enter GitHub Copilot, an AI-powered coding assistant that can help streamline your code review process. In this guide, I'll show you how to leverage GitHub Copilot to make your code reviews more efficient, and you can finish this in about 2 hours.

Prerequisites: What You Need to Get Started

Before diving in, ensure you have the following:

• A GitHub account (Free or Pro)
• Access to a repository you want to review
• Visual Studio Code (VS Code) installed
• GitHub Copilot subscription ($10/mo after a 60-day free trial)
• Basic understanding of Git and code review processes

Step-by-Step: Using GitHub Copilot for Code Reviews

1. Set Up GitHub Copilot in VS Code

First, install the GitHub Copilot extension in Visual Studio Code.

• How to Install:
  • Open VS Code.
  • Navigate to the Extensions view (Ctrl+Shift+X).
  • Search for "GitHub Copilot" and install it.

Once installed, log in with your GitHub account, and you're ready to go.

2. Initiate a Code Review

Open the repository you want to review. You can either clone it locally or navigate to it through GitHub Desktop.

• Expected Output: You should see your code files in the VS Code editor.

3. Use Copilot to Suggest Improvements

As you review the code, GitHub Copilot can suggest improvements, catch potential bugs, and even provide explanations.

• How to Use:

  • Click on a line of code that you want to review.
  • Press Alt + \ (or Cmd + \ on Mac) to trigger suggestions.

• Expected Output: Copilot will display suggestions in a greyed-out text. You can accept them by hitting Tab.

4. Commenting and Feedback

Make use of Copilot to draft comments on lines of code. This is particularly useful if you're collaborating with others.

• How to Use:

  • Place your cursor on the line and type a comment prompt, e.g., “Why is this variable being used here?”

• Expected Output: Copilot will generate a comment that you can refine or use as is.

5. Review Changes with Copilot's Help

When reviewing pull requests, use Copilot to summarize changes between versions and point out significant alterations.

• How to Use:

  • Open the pull request and use the command palette (Ctrl+Shift+P) to select “GitHub: Review Pull Request”.

• Expected Output: Copilot will summarize changes, making it easier to focus on critical parts of the code.

6. Troubleshooting Common Issues

While using Copilot, you might run into some hiccups. Here’s what to watch for:

• Limitations: Copilot may suggest incorrect or insecure code snippets. Always review suggestions critically.
• Performance Issues: If Copilot is slow or unresponsive, restarting VS Code often helps.

7. What's Next: Continuous Improvement

Once you've integrated GitHub Copilot into your code review process, consider these next steps:

• Train your team on using Copilot effectively.
• Set up regular review sessions to refine your process.
• Explore other AI tools that complement your workflow.

Pricing Breakdown: Is Copilot Worth It?

| Tool | Pricing | Best For | Limitations | Our Verdict | |-------------------|----------------------------|------------------------------------|------------------------------------------|-------------------------------------| | GitHub Copilot | $10/mo after a 60-day trial| Streamlining code reviews | May suggest insecure or incorrect code | Essential for efficient reviews | | Codeium | Free + Pro at $19/mo | Collaborative code suggestions | Limited integration with IDEs | Good alternative, but less robust | | Tabnine | Free + Pro at $12/mo | Personalized code completions | Does not understand context as well | Great for single-developer projects | | Sourcery | Free + $12/mo Pro | Code quality insights | Limited to Python | Use if you're focused on Python | | Replit | Free + Pro at $20/mo | Browser-based coding | Less powerful than local IDEs | Good for quick prototyping |

Conclusion: Start Here

If you're looking to make your code reviews more efficient in 2026, GitHub Copilot is a powerful ally. In just a couple of hours, you can set it up and start reaping the benefits. Remember to complement its suggestions with your expertise, as it's not infallible.

What We Actually Use

In our experience at Ryz Labs, we rely heavily on GitHub Copilot for code reviews, supplemented by tools like Codeium for collaborative projects. This combination allows us to maintain high code quality while speeding up the review process.