Ai Coding Tools

How to Utilize GitHub Copilot for Faster Code Reviews in 30 Minutes

By BTW Team3 min read

How to Utilize GitHub Copilot for Faster Code Reviews in 30 Minutes

If you’re a developer, you know the drill: code reviews can suck up hours of your time. You spend more time combing through lines of code than actually writing new features. What if I told you that you could streamline that process using GitHub Copilot? In this guide, I’ll show you how to leverage this AI tool to make your code reviews faster and more efficient, all in just 30 minutes.

Prerequisites for Using GitHub Copilot

Before we jump in, let’s make sure you have everything you need:

  1. GitHub Account: You’ll need an account to access Copilot.
  2. Visual Studio Code: This is the IDE we’ll be using.
  3. GitHub Copilot Subscription: Costs $10/month after a free trial.
  4. Basic Knowledge of Git: Familiarity with pull requests and code review processes.

Step 1: Setting Up GitHub Copilot

First things first, let’s get GitHub Copilot up and running in Visual Studio Code.

  1. Install GitHub Copilot Extension:

    • Open Visual Studio Code.
    • Go to Extensions (Ctrl+Shift+X).
    • Search for "GitHub Copilot" and click "Install".
  2. Sign In:

    • Once installed, you’ll need to sign in with your GitHub account. Follow the prompts to authorize.
  3. Enable Copilot:

    • Make sure Copilot is enabled by checking the bottom status bar in VS Code.

Step 2: Review Code with Copilot’s Suggestions

Now that you’re set up, let’s dive into the code review. Here’s how to utilize Copilot effectively:

  1. Open the Pull Request:

    • Navigate to the pull request you want to review and check out the relevant branch.
  2. Start Reviewing:

    • As you read through the code, Copilot will provide inline suggestions. This is where it shines—use it to understand complex logic or suggest improvements.
  3. Accept or Reject Suggestions:

    • You can accept suggestions by hitting the Tab key or reject them if you feel they’re off-base. This helps you maintain control over the quality of the code.

Step 3: Use Copilot to Generate Comments

One of the best features of Copilot is its ability to help you formulate comments on the code.

  1. Highlight Code Blocks:

    • If you find a specific section that needs a comment, highlight it.
  2. Invoke Copilot:

    • Type a comment prompt, like “// Explain this function” and let Copilot generate a detailed explanation.
  3. Refine the Comments:

    • You might need to tweak the generated comments for clarity or tone, but this saves you a ton of time.

Step 4: Summarize the Review

After you’ve gone through the code, it’s time to summarize your findings.

  1. Draft a Review Summary:

    • Use Copilot to help draft a summary of your review. Start with “# Review Summary” and let Copilot suggest points based on your comments and observations.
  2. Finalize and Submit:

    • Review the summary, make any necessary edits, and submit your review.

Troubleshooting Common Issues

While Copilot is powerful, it’s not perfect. Here are some common issues you might encounter:

  • Irrelevant Suggestions: Sometimes, Copilot might suggest code that doesn’t fit the context. In this case, just ignore its suggestions.
  • Understanding Complex Code: If the code is too complex, Copilot might struggle. Always supplement its suggestions with your own insights.

What’s Next?

After you’ve streamlined your code reviews, consider exploring more advanced features of GitHub Copilot. You can also check out our podcast, Built This Week, for more tips on using AI tools effectively in your development workflow.

Conclusion: Start Here

Ready to speed up your code reviews? Start by setting up GitHub Copilot today. With just 30 minutes of your time, you can make a significant impact on your productivity.

If you find that Copilot isn’t meeting your needs, consider alternatives like Tabnine or Codeium, but in my experience, Copilot provides the most seamless integration with GitHub workflows.

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