How to Use GitHub Copilot in 30 Minutes: A Step-by-Step Guide

If you've ever found yourself staring blankly at a code editor, unsure of how to proceed, you're not alone. As indie hackers and solo founders, we often juggle multiple roles, and coding can feel overwhelming. GitHub Copilot promises to ease that burden by acting as your AI-powered coding assistant. In this guide, I’ll walk you through setting up and using GitHub Copilot in just 30 minutes.

Prerequisites: What You Need

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

• A GitHub account (free)
• Visual Studio Code (VS Code) installed on your computer
• A stable internet connection
• Basic knowledge of coding (JavaScript, Python, or TypeScript recommended)

Step 1: Setting Up GitHub Copilot

1. Sign Up for GitHub Copilot: Go to the GitHub Copilot page and sign up. As of May 2026, the pricing is $10/month after a free trial period.

2. Install the GitHub Copilot Extension:

   • Open Visual Studio Code.
   • Go to the Extensions view (Ctrl+Shift+X).
   • Search for "GitHub Copilot."
   • Click "Install."

3. Authenticate Your GitHub Account:

   • After installation, you'll be prompted to sign in to your GitHub account.
   • Follow the authentication steps to link GitHub Copilot to your editor.

4. Enable Copilot: Once authenticated, make sure Copilot is enabled in the settings. You can do this by navigating to your settings (Ctrl+,) and searching for "Copilot".

Expected Output: You should see a "Copilot is ready!" message in your VS Code status bar.

Step 2: Using GitHub Copilot to Write Code

1. Start a New File: Create a new file in your preferred programming language (e.g., script.js).

2. Write a Comment or Function Name: Begin by typing a comment describing what you want to do. For example:

   // Function to calculate the factorial of a number
   

3. Let Copilot Suggest Code: After you write the comment, press Enter. Copilot will suggest a code snippet. You can accept the suggestion by pressing Tab.

4. Iterate on Suggestions: If the first suggestion isn’t quite right, press Ctrl+Enter to see more options. Copilot will provide alternative code snippets based on your comment.

Expected Output: A functioning factorial function, or whatever code you requested.

Step 3: Debugging with GitHub Copilot

1. Introduce an Error: Create a simple mistake in your code, like calling a function that doesn’t exist.

2. Ask Copilot for Help: You can write a comment like:

   // Fix the error in the following code
   

   Then, let Copilot suggest a fix.

Expected Output: Copilot should suggest a corrected version of your code.

Troubleshooting Common Issues

• Copilot Not Suggesting Code: Ensure you are connected to the internet and that Copilot is enabled in your settings.

• Slow Suggestions: If suggestions are slow, it may be due to server issues. Try again later.

• Unhelpful Suggestions: Remember that Copilot learns from the code it sees. If your comments are vague, you might not get the best results. Be specific!

What’s Next?

Now that you’ve set up GitHub Copilot and learned how to use it, consider integrating it into your daily coding routine. Try using Copilot for different tasks, like writing unit tests or generating boilerplate code.

Tools Comparison

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-------------------------------|---------------------------|---------------------------------------|----------------------------| | GitHub Copilot | $10/mo after free trial | AI-assisted coding | May suggest incorrect code | Essential for quick coding | | Tabnine | Free tier + $12/mo pro | Code completions | Limited to JavaScript and Python | Good for specific languages | | Codeium | Free | AI pair programming | Lacks advanced features | Great for beginners | | Kite | Free tier + $16.60/mo pro | Python coding | Limited language support | Good for Python devs | | Codex | $0-20/mo, depending on usage | General coding tasks | Requires OpenAI API key | Powerful but complex |

Conclusion

Getting started with GitHub Copilot can significantly enhance your coding efficiency. In just 30 minutes, you can set it up and see how it can help you tackle coding challenges.

Start with simple tasks and gradually integrate it into more complex projects. Embrace the learning curve, and soon you’ll find Copilot to be an invaluable asset in your coding toolkit.