Ai Coding Tools

How to Use GitHub Copilot for Code Review in 30 Minutes

By BTW Team3 min read

How to Use GitHub Copilot for Code Review in 30 Minutes

If you’re a solo founder or indie hacker, you know that time is your most precious resource. Code reviews can be tedious, often taking longer than necessary, especially if you’re doing it manually. Enter GitHub Copilot. This AI-powered coding assistant can help streamline your code review process, making it faster and more efficient. But how exactly do you leverage Copilot for this purpose? Let’s dive in.

Prerequisites: What You Need Before Getting Started

Before you jump into using GitHub Copilot for code reviews, make sure you have:

  • GitHub Account: You need a GitHub account to access Copilot.
  • Visual Studio Code (VS Code): Install VS Code, as Copilot integrates seamlessly with it.
  • GitHub Copilot Subscription: As of 2026, Copilot costs $10/month or $100/year. There’s a free trial available, but you’ll need a paid plan for ongoing use.

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

Step 1: Set Up GitHub Copilot in VS Code

  1. Install the GitHub Copilot Extension: Open VS Code, go to the Extensions view by clicking on the Extensions icon in the sidebar, and search for "GitHub Copilot". Click "Install".

  2. Sign In to GitHub: After installation, you’ll be prompted to sign in. Follow the on-screen instructions to authorize Copilot with your GitHub account.

Step 2: Load Your Codebase

  1. Open Your Project: Open the project you want to review in VS Code.

  2. Navigate to the File: Open the specific file or section of code you want to review.

Step 3: Start the Code Review Process

  1. Use Copilot Suggestions: As you scroll through your code, Copilot will provide suggestions. Pay attention to these, as they can highlight potential issues or improvements.

  2. Request Specific Feedback: Type comments in the code like // What can be improved here? and let Copilot generate suggestions. This helps in getting targeted feedback.

Step 4: Review and Implement Suggestions

  1. Evaluate Suggestions: Go through the suggestions provided by Copilot. It helps to compare them with your original code to see if the changes make sense.

  2. Apply Changes: If a suggestion looks good, you can accept it with a simple keystroke (usually Tab).

Step 5: Finalize Your Review

  1. Document Changes: After accepting suggestions, document any significant changes made during the review process.

  2. Run Tests: Make sure to run your tests to confirm that the changes made by Copilot don’t break existing functionality.

Expected Output

After completing these steps, you should have a cleaner, more efficient codebase with documented improvements. The entire process should take about 30 minutes, depending on the complexity of your code.

Troubleshooting: What Could Go Wrong

  • Confusing Suggestions: Sometimes, Copilot’s suggestions might not make sense. If you’re unsure, trust your judgment and skip that suggestion.
  • Integration Issues: If Copilot isn’t generating suggestions, ensure that the extension is properly installed and that you’re signed in.

What's Next: Level Up Your Code Reviews

Once you’re comfortable using Copilot for code reviews, consider integrating other tools for a more comprehensive review process:

  • SonarQube: For static code analysis to catch bugs and vulnerabilities.
  • Prettier: For consistent code formatting.

Conclusion: Start Here

Using GitHub Copilot for code reviews can save you valuable time and improve your code quality. Start by setting up Copilot in VS Code, and follow the step-by-step guide to enhance your review process.

If you find yourself frequently conducting code reviews, investing in Copilot is a no-brainer for indie developers looking to optimize their workflow.

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

AI Tools Showdown: Cursor vs Codeium - Which Is Better for Experts?

AI Tools Showdown: Cursor vs Codeium Which Is Better for Experts? As a solo founder or indie hacker, the choice of AI coding tools can significantly impact your workflow and produ

Jul 29, 20263 min read
Ai Coding Tools

Why Most AI Coding Tools Aren't Right for You: Common Misconceptions

Why Most AI Coding Tools Aren't Right for You: Common Misconceptions As a solo founder or indie hacker, you’ve probably heard the buzz around AI coding tools. They promise to strea

Jul 29, 20264 min read
Ai Coding Tools

Why Most People Overlook AI Tools in Code Collaboration

Why Most People Overlook AI Tools in Code Collaboration In the fastpaced world of coding, collaboration is key—but many developers still overlook the potential of AI tools to enhan

Jul 29, 20264 min read
Ai Coding Tools

Comparing Cursor vs GitHub Copilot: Which AI Coding Tool Reigns in 2026?

Comparing Cursor vs GitHub Copilot: Which AI Coding Tool Reigns in 2026? As indie hackers and solo founders, we often find ourselves juggling multiple roles, including that of a de

Jul 29, 20264 min read
Ai Coding Tools

How to Automate Your Coding Workflow in Just 30 Minutes Using AI Tools

How to Automate Your Coding Workflow in Just 30 Minutes Using AI Tools As indie hackers and solo founders, we often find ourselves buried under a mountain of repetitive coding task

Jul 29, 20265 min read
Ai Coding Tools

Cursor vs GitHub Copilot: Which AI Tool is Truly Smarter for Developers?

Cursor vs GitHub Copilot: Which AI Tool is Truly Smarter for Developers? As developers, we’re always looking for tools that can speed up our workflow, reduce boilerplate code, and

Jul 29, 20263 min read