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

As a solo founder or indie hacker, your time is incredibly valuable. You want to ship features, not get bogged down in lengthy code reviews. That's where GitHub Copilot comes in. This AI-powered coding assistant can streamline your code review process, allowing you to focus on the big picture rather than getting lost in the nitty-gritty. In this guide, I'll walk you through using GitHub Copilot for efficient code reviews, all in just 30 minutes.

Prerequisites

Before diving in, make sure you have the following:

1. GitHub Account: You need access to repositories you want to review.
2. GitHub Copilot Subscription: Pricing is $10/month or $100/year, which is reasonable if you're serious about coding efficiency.
3. Visual Studio Code: Copilot integrates seamlessly with this popular IDE.

Step 1: Install GitHub Copilot

1. Open Visual Studio Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
3. Search for "GitHub Copilot" and click "Install."
4. Sign in with your GitHub account to activate the extension.

Expected Output: You should see Copilot's icon in the bottom right corner of the IDE, indicating it's ready.

Step 2: Open the Pull Request

1. Navigate to your GitHub repository and find the pull request (PR) you want to review.
2. Click on the "Files changed" tab to see the code changes.

Expected Output: You'll see a diff of the changes made in the PR.

Step 3: Use Copilot for Suggestions

1. Click on a file to open it in your editor.
2. Start typing comments or questions about the code. For example, “What does this function do?” or “Can you suggest improvements?”
3. Copilot will generate suggestions based on your input.

Expected Output: You'll see Copilot's suggestions appear inline, making it easier to understand the code's purpose and potential issues.

Step 4: Review and Edit

1. As you review the code, don’t hesitate to accept, reject, or modify Copilot’s suggestions.
2. Use the "Comment" feature in GitHub to leave feedback directly on the PR, based on the insights Copilot provides.

Expected Output: A more streamlined review process, with comments that are informed by Copilot's insights.

Troubleshooting

What Could Go Wrong

• Copilot Misses Context: Sometimes, Copilot may not grasp the full context of the project. If this happens, clarify your questions or provide more context.
• Integration Issues: If Copilot isn’t working, ensure your Visual Studio Code is updated and that you’re logged into your GitHub account.

Solutions

• For missed context, consider adding a brief overview of the project in your comments.
• Reinstall the Copilot extension if you face integration issues.

What's Next

Now that you've efficiently reviewed a pull request, consider implementing GitHub Actions to automate checks on future PRs. You can also explore other AI tools that can assist in different parts of your workflow, like testing or deployment.

Conclusion: Start Here

Using GitHub Copilot for code reviews can save you a significant amount of time. With just 30 minutes, you can enhance your review process and make better-informed decisions about your codebase. If you haven't already, get started with GitHub Copilot today and see how it can fit into your workflow.

What We Actually Use

In our experience, we rely on GitHub Copilot for code reviews, complemented by GitHub Actions for CI/CD. This combo has drastically reduced our review times and improved code quality.