How to Use GitHub Copilot for Debugging in 30 Minutes

Debugging can feel like a never-ending cycle of frustration, especially when you're working on a side project and need to keep the momentum going. Enter GitHub Copilot, the AI-powered coding assistant that can help you identify and resolve issues in your code faster than ever. In this guide, I’ll show you how to leverage GitHub Copilot to debug your code in just 30 minutes.

Prerequisites

Before you dive in, make sure you have the following:

• A GitHub account (free)
• Visual Studio Code installed (free)
• GitHub Copilot subscription ($10/month after a 60-day free trial)
• A project with some existing code that has bugs

Step-by-Step Guide to Debugging with GitHub Copilot

Step 1: Set Up GitHub Copilot in Visual Studio Code

1. Open Visual Studio Code.
2. Install the GitHub Copilot extension from the marketplace.
3. Sign in with your GitHub account.
4. Enable Copilot in your settings.

Expected output: You should see a Copilot icon in your editor, indicating it's ready to assist.

Step 2: Identify the Bug

Take a moment to identify the specific issue in your code. This could be a function that’s not returning the expected output or an error message you’re receiving during execution.

Example: Your function calculateTotal returns undefined when called with an array of numbers.

Step 3: Use Copilot to Generate Debugging Suggestions

1. In the function where you suspect the bug lies, start typing a comment that describes the issue. For example:

   // Why is calculateTotal returning undefined?
   

2. Wait for Copilot to suggest possible fixes or debugging steps. It might suggest adding console logs or checking for null values.

Expected output: A list of suggestions appears, like:

• Adding console logs to inspect variables
• Checking array length before processing

Step 4: Implement and Test Suggestions

1. Choose one of Copilot's suggestions and implement it in your code.
2. Run your tests again to see if the issue is resolved.

Example: If Copilot suggested adding a console log, implement it and run your code.

Step 5: Iterate Until Resolved

If the first suggestion doesn’t solve the problem, repeat the process. You can ask Copilot for additional insights by modifying your comments or providing more context.

Expected output: After a few iterations, you should either resolve the bug or have enough information to investigate further.

Troubleshooting Common Issues

• Copilot Isn't Suggesting Anything: Make sure you’ve typed a clear comment or context. If it still doesn't work, try restarting VS Code.
• Suggestions Don't Make Sense: Remember, Copilot is not infallible. Use its suggestions as a starting point, but apply your judgment.
• Subscription Issues: If you encounter access problems, check your GitHub Copilot subscription status.

What’s Next?

Once you've debugged your code, consider using Copilot for other coding tasks like code reviews, feature implementation, or even writing tests. This tool can save you significant time, but it’s essential to keep honing your debugging skills as well.

Conclusion: Start Here

If you’re a solo founder or indie hacker looking to streamline your debugging process, GitHub Copilot is a practical tool worth the investment. Set aside 30 minutes, follow these steps, and you’ll be surprised at how much you can accomplish.

What We Actually Use

We rely on GitHub Copilot for quick code fixes and suggestions, especially when we're under time pressure. However, we still double-check its recommendations, as it doesn’t always get it right.