How to Use GitHub Copilot to Code a Complete Project in 2 Hours

As indie hackers and solo founders, we often find ourselves juggling multiple tasks at once. You’ve probably felt the frustration of trying to write code for a side project while managing everything else. Wouldn’t it be a game-changer if you could leverage AI to speed up the coding process? Enter GitHub Copilot—an AI-powered coding assistant that can help you whip up a complete project in just two hours. Sounds ambitious? It’s definitely possible, and I’m here to show you how.

Prerequisites for Using GitHub Copilot

Before you dive in, there are a few things you need to have set up:

1. GitHub Account: You’ll need a GitHub account to use Copilot.
2. Visual Studio Code (VS Code): This is the code editor where Copilot works best. Download it if you don’t have it yet.
3. GitHub Copilot Subscription: It costs $10/month or $100/year, and there’s a free trial available.

Step 1: Setting Up Your Environment

1. Install VS Code: Download and install Visual Studio Code from here.
2. Install GitHub Copilot: Go to the Extensions Marketplace in VS Code, search for "GitHub Copilot," and install it.
3. Log in to GitHub: Once installed, log in to your GitHub account through the extension.

Expected Output: You’ll see a Copilot icon in the sidebar, indicating it’s ready to assist you.

Step 2: Define Your Project

Before you start coding, you need to have a clear idea of what project you want to build. For this tutorial, let’s create a simple “To-Do List” application.

1. Project Structure:
   • index.html
   • style.css
   • script.js

Expected Output: A basic file structure for your project.

Step 3: Coding with GitHub Copilot

Now comes the fun part! You can start writing code, and Copilot will suggest completions.

1. HTML Structure:

   • Start typing the boilerplate for an HTML file. For example, type <!DOCTYPE html> and hit Enter. Copilot should suggest the rest.
   • Continue to build your HTML by typing out section headers. E.g., type <header> and wait for Copilot to fill in the rest.

2. CSS Styling:

   • Switch to style.css and begin typing your styles. Type .todo-list { and let Copilot suggest styles.

3. JavaScript Functionality:

   • Open script.js and start with a function declaration. For example, type function addTask(task) { and see what Copilot suggests for task management.

Expected Output: A fully functional To-Do List app with HTML, CSS, and JavaScript.

Step 4: Testing Your Project

1. Run Your Application: Open index.html in your browser to see your app in action.
2. Debugging: If something doesn’t work, use the browser console to identify issues. Copilot can also help with debugging suggestions.

Expected Output: A working To-Do List application with the ability to add and remove tasks.

Troubleshooting Common Issues

• Copilot Not Suggesting Code: Make sure you’re connected to the internet and have a valid subscription.
• Suggestions Not Relevant: Try typing a more specific prompt or rephrasing what you’re trying to achieve.

What’s Next?

Once you’ve successfully built your To-Do List app, you can:

1. Enhance It: Add features like task prioritization or due dates.
2. Deploy It: Use platforms like Vercel or Netlify to host your app.
3. Iterate Based on Feedback: Share your app with friends and gather feedback for improvements.

Conclusion: Start Here with GitHub Copilot

Using GitHub Copilot can significantly reduce your coding time, and with a little practice, you can complete projects in just a couple of hours. It’s not just about speeding things up; it’s about enhancing your coding experience. So, if you’re a solo founder or indie hacker, give GitHub Copilot a shot.

What We Actually Use

In our experience, GitHub Copilot is a staple in our coding toolkit. We also recommend checking out tools like Replit for collaborative coding and Figma for design work, but for coding, Copilot is our go-to.