Ai Coding Tools

How to Use GitHub Copilot for Faster Code Reviews in Just 30 Minutes

By BTW Team3 min read

How to Use GitHub Copilot for Faster Code Reviews in Just 30 Minutes

As a solo founder or indie hacker, you know that code reviews can be a time-consuming part of the development process. You often find yourself buried in lines of code, trying to catch bugs, improve readability, and ensure best practices. Wouldn’t it be great if there was a way to speed up this process without sacrificing quality? Enter GitHub Copilot. In this guide, I’ll walk you through how to leverage GitHub Copilot to make your code reviews faster and more efficient in just 30 minutes.

Prerequisites: What You Need to Get Started

Before diving in, here’s what you’ll need:

  • GitHub Account: You’ll need an active GitHub account to use Copilot.
  • Visual Studio Code: This is where Copilot integrates seamlessly.
  • GitHub Copilot Subscription: Pricing is $10/mo or $100/year, with a free trial available for new users.
  • Basic Understanding of Code Reviews: Familiarity with your team’s coding standards and practices will help you make better use of Copilot.

Step 1: Set Up GitHub Copilot in Visual Studio Code

  1. Install Visual Studio Code: If you don’t already have it, download and install Visual Studio Code.
  2. Install GitHub Copilot Extension:
    • Open Visual Studio Code.
    • Go to Extensions (Ctrl+Shift+X).
    • Search for “GitHub Copilot” and install the extension.
  3. Authenticate: After installation, you’ll need to log in with your GitHub account to activate Copilot.

Expected Output: You should see a Copilot icon in the bottom right corner of your VS Code window indicating it’s active.

Step 2: Review Code with GitHub Copilot’s Suggestions

  1. Open the Pull Request: Start by opening the code you want to review in Visual Studio Code.
  2. Navigate Through Changes: Use the built-in GitHub features to check out the changes in the pull request.
  3. Use Copilot for Suggestions:
    • As you review each function or block of code, start typing a comment or question related to the code.
    • Copilot will provide suggestions based on the context, which can help you identify issues or improvements.

Example:

If you’re reviewing a function and want to ensure it’s optimized, simply type “Is this function efficient?” and see what Copilot suggests.

Step 3: Integrate Feedback and Suggestions

  1. Accept or Modify Suggestions: Use Copilot’s suggestions to provide feedback. You can either accept, modify, or reject the suggestions based on your judgment.
  2. Commenting: Add comments directly in the pull request to highlight areas of concern or praise.

Expected Output: You’ll have a more comprehensive review with actionable insights, speeding up the feedback loop.

Step 4: Troubleshooting Common Issues

  • Suggestion Quality: Sometimes, Copilot may provide irrelevant suggestions. Make sure to provide context in your prompts to improve relevance.
  • Code Context: If Copilot seems confused, ensure the code is well-structured and includes comments. This helps Copilot generate better suggestions.

Step 5: What's Next? Building on Your Review Process

After integrating GitHub Copilot into your code review process, consider the following:

  • Regular Use: Incorporate Copilot into your daily coding practices, not just during reviews.
  • Team Training: If you’re working with a team, consider a quick training session on how to effectively use Copilot.
  • Feedback Loop: Regularly gather feedback from your team on Copilot’s suggestions to improve your review process.

Conclusion: Start Here for Faster Code Reviews

Using GitHub Copilot can significantly reduce the time you spend on code reviews while enhancing the quality of feedback. If you haven’t already, set up Copilot in your workflow today. It’s a practical tool that can make a real difference in your productivity.

What We Actually Use

In our experience, we’ve found that combining GitHub Copilot with a clear code review checklist helps streamline our process. We also use code quality tools like ESLint in conjunction, but for speed and efficiency, Copilot is our go-to.

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