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

Code reviews can be a tedious part of the development process. As a solo founder or indie hacker, you might find yourself overwhelmed with the sheer volume of code changes, especially if you're working on multiple projects simultaneously. 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 for advanced code reviews in just 30 minutes.

Time Estimate: 30 Minutes

You can finish this setup in 30 minutes, assuming you have a basic understanding of GitHub and code review practices.

Prerequisites

• A GitHub account (free tier available)
• A project repository with code changes ready for review
• GitHub Copilot subscription ($10/mo or $100/year)
• Visual Studio Code (or supported IDE) with GitHub Copilot extension installed

Step-by-Step Guide

Step 1: Set Up GitHub Copilot

1. Install the GitHub Copilot Extension:

   • Open Visual Studio Code.
   • Go to Extensions (Ctrl+Shift+X), search for "GitHub Copilot," and click "Install."
   • Sign in to your GitHub account when prompted.

2. Configure Copilot Settings:

   • Go to Settings (Ctrl+,) and search for "Copilot."
   • Enable suggestions and adjust the behavior according to your preferences.

Step 2: Load Your Code Changes

1. Open Your Repository:

   • Clone your repository if you haven't already: git clone <repo-url>.
   • Navigate to the directory and open it in Visual Studio Code.

2. Review Pull Requests:

   • Go to the GitHub website and navigate to the pull requests section.
   • Identify the pull request you want to review and take note of the changes.

Step 3: Utilize Copilot for Code Review

1. Load the Changed Files:

   • Open the files with changes in your IDE.

2. Request Suggestions:

   • As you review the code, use comments to ask Copilot for suggestions. For example:

     // Can you suggest an improvement for this function?
     function example() {
       // existing code
     }
     

   • Copilot will provide suggestions inline, which you can accept by pressing Tab.

3. Check for Code Quality:

   • Ask Copilot to analyze code quality:

     // Are there any potential bugs here?
     

Expected Outputs

• Improved Code: You should see suggestions that optimize or correct the code.
• Feedback on Quality: Copilot will highlight potential issues, making your review process more efficient.

Troubleshooting: What Could Go Wrong

• Limited Suggestions: Copilot might not always provide relevant suggestions. In such cases, try rephrasing your comments or providing more context.
• False Positives: Sometimes Copilot may flag non-issues. Always verify suggestions before implementing them.

What's Next

Once you’ve completed your code review with Copilot, consider these next steps:

• Merge the Pull Request: If everything looks good, proceed to merge the PR.
• Implement Suggestions: If you’ve accepted any changes, test them locally before pushing.
• Reflect on the Process: Take note of how Copilot assisted you and consider adjustments for future reviews.

Conclusion: Start Here

To effectively use GitHub Copilot for advanced code reviews, begin by setting up the extension and familiarizing yourself with its capabilities. This tool can significantly reduce the time you spend on reviews and improve code quality, making it a worthwhile investment for indie hackers and solo founders.

What We Actually Use

In our experience, we use GitHub Copilot for code reviews and find it invaluable for speeding up the process, especially for repetitive tasks. However, we also complement it with manual checks to ensure code quality and context understanding.