How to Use GitHub Copilot for Faster Code Reviews in 2026

If you’re anything like me, code reviews can feel like a necessary evil. They’re crucial for maintaining code quality, but they often drag on longer than we’d like. Enter GitHub Copilot—a tool that can significantly speed up the review process while also improving code quality. In this guide, I’ll break down how to effectively use GitHub Copilot for code reviews, share what works, and also highlight some limitations.

Why Use GitHub Copilot for Code Reviews?

GitHub Copilot is an AI-powered code completion tool that suggests whole lines or blocks of code as you type. It can help streamline code reviews by auto-suggesting improvements, catching potential bugs, and providing documentation for unfamiliar code. However, it’s not a silver bullet—it’s essential to understand its strengths and weaknesses.

Prerequisites: What You Need to Get Started

1. GitHub Account: You’ll need an account on GitHub.
2. GitHub Copilot Subscription: As of August 2026, pricing is $10/month for individual use or $19/month for teams.
3. Visual Studio Code or JetBrains IDE: Copilot integrates seamlessly with these environments.
4. Familiarity with the Codebase: Understanding the project is crucial for effective reviews.

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

Step 1: Set Up GitHub Copilot

1. Install the GitHub Copilot extension in your IDE.
2. Log in with your GitHub credentials.
3. Enable Copilot in your settings.

Step 2: Load the Pull Request

1. Navigate to the pull request (PR) you want to review.
2. Check out the branch associated with the PR in your local environment.

Step 3: Review Code with Copilot's Suggestions

1. As you scroll through the code, Copilot will automatically suggest improvements or alternatives.
2. Accept suggestions by pressing Tab or Enter, or ignore them if they don’t fit.

Step 4: Validate Copilot's Suggestions

1. Ensure that the suggestions align with coding standards and project guidelines.
2. Use Copilot to generate tests for new features or edge cases.

Step 5: Provide Feedback

1. Comment directly on the PR using GitHub’s comment feature.
2. Highlight any Copilot suggestions you accepted or rejected for clarity.

Expected Outputs

• A more efficient review process with improved code quality.
• Clear documentation and tests generated for new code.

Troubleshooting Common Issues

1. Inaccurate Suggestions: Sometimes, Copilot may suggest code that doesn't fit your context. Always double-check suggestions and don’t hesitate to edit or reject them.
2. Performance Lag: If Copilot is slow, check your internet connection or IDE settings. Sometimes, restarting the IDE helps.

What’s Next?

Once you’re comfortable using GitHub Copilot for code reviews, consider integrating it into your daily workflow. Explore its features for writing documentation or generating boilerplate code to further enhance your productivity.

Limitations of GitHub Copilot

While Copilot can be a game-changer for code reviews, it’s not perfect. Here are some limitations:

• Context Awareness: Copilot may not always understand the broader context of your codebase.
• Security Risks: Automatically generated code might introduce vulnerabilities if not thoroughly vetted.
• Learning Curve: It can take time to get used to accepting and rejecting suggestions effectively.

Comparison of AI Code Review Tools

Here’s a quick comparison of GitHub Copilot with other AI code review tools available in 2026:

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|----------------------|-----------------------------|---------------------------------|------------------------------| | GitHub Copilot | $10/mo (individual) | Fast code reviews | Context-awareness issues | Great for quick suggestions | | Codeium | Free tier + $15/mo | Team collaboration | Limited language support | Good for teams | | Tabnine | $12/mo | Predictive coding | Can be hit or miss | Useful for repetitive tasks | | Sourcery | $19/mo | Code quality improvement | Less support for complex code | Effective for refactoring | | DeepCode | $12/mo | Security-focused reviews | Limited language support | Great for security checks |

What We Actually Use

In our experience, we primarily use GitHub Copilot for code reviews due to its ease of integration and the speed it brings to the process. For security checks, we also rely on DeepCode, especially for sensitive projects.

Conclusion: Start Here

If you’re looking to speed up your code review process, start by integrating GitHub Copilot into your workflow. It’s not a one-size-fits-all solution, but it can significantly enhance your efficiency. Just remember to validate its suggestions and keep an eye out for potential pitfalls.