Ai Coding Tools

How to Use GitHub Copilot for Speedy Code Reviews in 30 Minutes

By BTW Team3 min read

How to Use GitHub Copilot for Speedy Code Reviews in 30 Minutes

As a solo founder or indie hacker, time is your most precious resource, especially when it comes to code reviews. You might find yourself drowning in pull requests or spending hours sifting through lines of code. Wouldn’t it be great if you could speed up that process without sacrificing quality? Enter GitHub Copilot—an AI-powered coding assistant that can help you with code reviews in a fraction of the time. In this guide, I’ll walk you through how to leverage GitHub Copilot effectively for speedy code reviews in just 30 minutes.

Prerequisites for Using GitHub Copilot

Before we dive in, here’s what you need to get started:

  1. GitHub Account: You'll need a GitHub account to access repositories.
  2. Visual Studio Code (VS Code): Download and install VS Code if you haven’t already.
  3. GitHub Copilot Subscription: GitHub Copilot is not free; the pricing is $10/month or $100/year as of February 2026.
  4. Basic Understanding of Git: Familiarity with pull requests and code reviews will be beneficial.

Step-by-Step Guide to Speedy Code Reviews

Step 1: Set Up GitHub Copilot in VS Code

  1. Install the Extension: Open VS Code and go to the Extensions Marketplace. Search for "GitHub Copilot" and install it.
  2. Sign In: After installation, sign in using your GitHub account.
  3. Enable Copilot: Make sure Copilot is enabled in your workspace settings.

Step 2: Open the Pull Request

  1. Navigate to the repository where the pull request is located.
  2. Click on the pull request you want to review.
  3. Open the files changed tab to see the updated code.

Step 3: Start the Review with Copilot

  1. Ask for Suggestions: Click on a line of code and start typing your thoughts or questions. For example, you might type, "What does this function do?" Copilot will suggest explanations or improvements.
  2. Review Code Snippets: For any complex function, highlight the code block and ask Copilot for alternative implementations or optimizations. This can save you time in understanding the logic.

Step 4: Provide Feedback

  1. Commenting: Use Copilot to help draft your comments. Start typing a comment, and let Copilot suggest ways to phrase it more clearly.
  2. Merge or Request Changes: After reviewing, you can either approve the pull request or request changes, using Copilot's suggestions to back up your decisions.

Step 5: Document Your Review Process

  1. Create a Review Checklist: Use Copilot to help generate a checklist for future reviews. This can include common pitfalls or areas to focus on, which can streamline your process in subsequent reviews.
  2. Summarize Your Findings: At the end of your review, use Copilot to help draft a summary of your findings and suggestions for the developer.

Troubleshooting Common Issues

  • Copilot Not Suggesting: If Copilot isn’t providing suggestions, check if you’re signed in and if the extension is enabled.
  • Inaccurate Suggestions: Remember, Copilot is a tool to assist, not replace your judgment. Always double-check its suggestions before implementing them.

What’s Next?

Once you’ve mastered using GitHub Copilot for code reviews, consider applying it to other areas of your coding workflow, such as:

  • Code Refactoring: Use Copilot to suggest cleaner code structures.
  • Documentation: Automate documentation generation using Copilot to describe functions and classes.

Conclusion

Using GitHub Copilot for code reviews can significantly cut down your time spent on this often tedious task. By following the steps outlined above, you can streamline your review process to just 30 minutes without compromising on quality.

If you’re looking for a way to enhance your coding workflow and save valuable time, I highly recommend giving GitHub Copilot a try.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time

10 AI Coding Tools That Will Drastically Reduce Your Debugging Time As a developer, whether you're just starting out or have years of experience, debugging can feel like a neverend

Oct 16, 20265 min read
Ai Coding Tools

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow

10 Common Mistakes When Integrating AI Coding Tools into Your Workflow As developers, we’re always on the lookout for ways to streamline our workflow and boost productivity. Enter

Oct 14, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools That Could Hurt Your Development Process

5 Myths About AI Coding Tools That Could Hurt Your Development Process As a solo founder or indie hacker, you might be lured by the promises of AI coding tools that claim to simpli

Oct 13, 20264 min read
Ai Coding Tools

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026

5 Common Mistakes Developers Make When Using AI Coding Tools in 2026 As AI coding tools have become an integral part of a developer's toolkit in 2026, many are still stumbling over

Oct 12, 20264 min read
Ai Coding Tools

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026

5 Myths About AI Coding Tools: What Every Developer Should Know in 2026 As we dive into 2026, the landscape of AI coding tools has evolved significantly, yet many developers still

Oct 11, 20263 min read
Ai Coding Tools

Why AI Coding Assistants Are Overrated for Beginners in 2026

Why AI Coding Assistants Are Overrated for Beginners in 2026 As a solo founder or indie hacker, it’s tempting to think that AI coding assistants are the silver bullet to jumpstart

Oct 10, 20263 min read