How to Use GitHub Copilot for Efficient Code Reviews in 2026

If you're a solo founder or indie hacker, you know that code reviews can be a real time sink. You want to ensure quality, but the process can drag on, especially when you're juggling multiple projects. Enter GitHub Copilot—a tool that promises to streamline your code review process. In this guide, I'll walk you through how to effectively integrate Copilot into your code review workflow in just about an hour.

Time Estimate: 1 Hour

You can finish setting this up in about 60 minutes. All you need is a GitHub account, a bit of code to review, and the Copilot extension installed.

Prerequisites

1. GitHub Account: You need to have a GitHub account. If you don't have one, sign up at GitHub.
2. Codebase: Have a project ready for review. It could be a small side project or a larger application.
3. GitHub Copilot Subscription: Copilot costs $10/month for individual users. There’s a 60-day free trial if you want to test it out first.

Step-by-Step Guide to Using GitHub Copilot for Code Reviews

Step 1: Install GitHub Copilot

1. Go to the GitHub Copilot page.
2. Click on "Get started" and follow the prompts to install the Copilot extension for your code editor (VS Code, JetBrains, etc.).
3. Once installed, sign in to your GitHub account and authorize Copilot.

Step 2: Prepare Your Code for Review

1. Open the code file you want to review in your editor.
2. Make sure the context is clear—add comments if necessary to guide Copilot on what to focus on.

Step 3: Start the Review Process

1. As you read through the code, you can ask Copilot for suggestions on improvements. For example, type // Can you suggest improvements for this function?.
2. Copilot will generate code snippets or comments that can enhance the functionality or readability of your code.

Step 4: Review Suggestions

1. Evaluate the suggestions provided by Copilot. Not all suggestions will be perfect, but they can serve as a starting point for discussion.
2. Use the snippets to replace or improve existing code, but ensure you test any changes before finalizing them.

Step 5: Document Changes

1. Make sure to document any changes made during the review, either in comments or in your project's documentation.
2. This is crucial for future reference and for anyone else working on the project.

Step 6: Finalize the Review

1. Once you’ve incorporated the suggestions you agree with, you can submit your pull request or finalize your changes.
2. Don’t forget to run tests to verify that everything still works as intended.

Troubleshooting Common Issues

• Copilot Not Suggesting Anything: If you’re not getting suggestions, ensure you have a stable internet connection and that the file type is supported (e.g., JavaScript, Python).
• Irrelevant Suggestions: Sometimes, Copilot might suggest code that doesn’t fit your needs. Use it as a guide rather than a definitive answer.

What's Next?

Once you’re comfortable using GitHub Copilot for code reviews, consider exploring other AI coding tools that can complement your workflow. You might find tools like Tabnine or Codeium useful for specific tasks.

Conclusion: Start Here

To efficiently integrate GitHub Copilot into your code review process, follow the steps outlined above. Remember, the goal is to enhance your workflow and make code reviews less of a chore. With just an hour of setup, you can save time and improve code quality.

What We Actually Use:

• We use GitHub Copilot for reviewing our own code and for getting suggestions on best practices. However, we still rely on manual reviews for critical code changes, as AI isn't perfect.