How to Use GitHub Copilot to Speed Up Your Coding in 2 Hours

If you’ve ever spent hours debugging or writing boilerplate code, you’re not alone. As indie hackers and solo founders, we often juggle multiple roles, leaving little time for the nitty-gritty of coding. Enter GitHub Copilot, an AI-powered coding assistant that can significantly speed up your development process. In this guide, I’ll show you how to get set up with GitHub Copilot in just 2 hours, so you can start coding more efficiently.

Prerequisites

Before diving in, ensure you have the following:

• A GitHub account (Free)
• Visual Studio Code installed (Free)
• GitHub Copilot subscription (Free trial available, then $10/month)
• Basic understanding of coding concepts

Step-by-Step Setup

1. Sign Up for GitHub Copilot

Start by signing up for GitHub Copilot on the GitHub Copilot page. You can begin with a free trial, which gives you a taste of its capabilities without any commitment.

2. Install the GitHub Copilot Extension

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

Expected Output: After installation, you should see a Copilot icon in the bottom right corner of VS Code.

3. Enable GitHub Copilot

Once installed, you need to enable the extension:

• Click on the GitHub Copilot icon.
• Sign in with your GitHub account.
• Follow the prompts to authorize Copilot.

Expected Output: Copilot will now be active, ready to assist you with code suggestions.

4. Start Coding

Open a new file in Visual Studio Code and start typing. As you type, GitHub Copilot will provide suggestions. You can accept a suggestion by pressing the Tab key or dismiss it with Esc.

5. Experiment with Different Languages

GitHub Copilot supports various programming languages, including JavaScript, Python, Ruby, and more. Try switching languages to see how it adapts to your coding style.

6. Use Comments to Guide Copilot

One of the best ways to get relevant suggestions is to write comments that describe what you want to achieve. For example, if you’re building a function to calculate the sum of an array, write:

// Function to calculate the sum of an array

Copilot will generate the code based on your comment.

7. Review and Refine Suggestions

While Copilot can be incredibly helpful, it’s essential to review the generated code. It may not always produce the most efficient or correct solution. Take the time to refine the code to fit your needs.

Troubleshooting

What could go wrong?

• Copilot doesn’t suggest anything: Ensure you’ve enabled it correctly and that you’re in a supported language file.
• Suggestions look incorrect: Always review the suggestions thoroughly. Copilot is not infallible and may produce suboptimal code.

What’s Next?

After you’ve set up GitHub Copilot, consider integrating it with your workflow. Use it for repetitive tasks, boilerplate code, or even to help with debugging. The more you use it, the more you’ll discover its capabilities.

Conclusion

In just 2 hours, you can set up GitHub Copilot and start using it to enhance your coding productivity. While it’s not a replacement for understanding coding principles, it can save you valuable time, allowing you to focus on building your projects.

What We Actually Use

In our development process at Ryz Labs, we rely on GitHub Copilot for rapid prototyping and reducing coding errors. It’s particularly effective for generating boilerplate code, though we always double-check its outputs.