How to Set Up GitHub Copilot in 15 Minutes

If you’re a solo founder or indie hacker coding your next big project, you’ve probably heard the buzz about GitHub Copilot. The idea of an AI assistant that can help write code sounds enticing, but getting started can feel daunting. The good news? You can set up GitHub Copilot in about 15 minutes. In this guide, I’ll walk you through the process step-by-step, share my experience, and help you decide if it’s worth adding to your toolkit.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following:

• GitHub Account: You need an active GitHub account. If you don't have one, you can sign up for free.
• Visual Studio Code (VS Code): GitHub Copilot works as an extension in VS Code. Download it if you haven't already.
• Basic Programming Knowledge: While Copilot can help generate code, knowing the basics will help you guide it effectively.

Step 1: Install Visual Studio Code

First things first, you need to have Visual Studio Code installed. It’s a free code editor available for Windows, macOS, and Linux.

1. Go to Visual Studio Code's website.
2. Download the version suitable for your operating system.
3. Follow the installation instructions.

Step 2: Install the GitHub Copilot Extension

Once you have VS Code ready, it’s time to install the GitHub Copilot extension.

1. Open Visual Studio Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side or press Ctrl+Shift+X.
3. Search for "GitHub Copilot" in the search bar.
4. Click the "Install" button next to the GitHub Copilot extension.

Expected output: The extension will be added to your VS Code environment.

Step 3: Sign in to GitHub

After installing the extension, you need to authenticate it with your GitHub account.

1. Click on the GitHub Copilot icon in the sidebar.
2. A prompt will appear asking you to sign in to GitHub. Click on "Sign In."
3. Follow the authentication steps in your browser.

Expected output: You should see a confirmation that GitHub Copilot is enabled.

Step 4: Start Coding with GitHub Copilot

Now that you’re set up, let’s put GitHub Copilot to work.

1. Open a new or existing code file in VS Code.
2. Start typing a comment describing what you want to code (e.g., // function to calculate factorial).
3. Wait for GitHub Copilot to suggest code. You can accept the suggestion by pressing Tab.

Expected output: The AI will generate a code snippet based on your comment.

Troubleshooting: What Could Go Wrong

If you run into issues during setup, here are some common problems and solutions:

• Copilot Not Suggesting Code: Ensure that you’re connected to the internet and that the extension is enabled.
• Authentication Issues: Double-check your GitHub credentials and ensure you have the right permissions.

What's Next: Maximizing Your Productivity

Once you’ve set up GitHub Copilot, consider integrating it into your daily workflow. Start with small tasks, like generating functions or debugging existing code. As you become more comfortable, you can leverage it for more complex problems.

Conclusion: Is GitHub Copilot Worth It?

In my experience, GitHub Copilot can save you a lot of time on repetitive coding tasks, allowing you to focus on higher-level problems. However, it’s not perfect. Sometimes the suggestions can be off-base or require tweaking. If you’re on a budget, keep in mind that GitHub Copilot costs $10/month after a free trial period.

Overall, if you’re looking to enhance your coding efficiency and can spare the expense, GitHub Copilot is worth a shot.

What We Actually Use

For our projects, we’ve integrated GitHub Copilot with VS Code and found it super useful for streamlining repetitive tasks. We also use tools like GitHub Actions for CI/CD and Figma for design.