Ai Coding Tools

How to Use GitHub Copilot to Code Your First Application in Just One Hour

By BTW Team4 min read

How to Use GitHub Copilot to Code Your First Application in Just One Hour

Have you ever stared at a blank screen, unsure of where to start with coding your first application? You're not alone. Many indie hackers and solo founders feel stuck at the beginning, overwhelmed by the complexity of coding. What if I told you that with the help of AI, you could build a simple application in just one hour? Enter GitHub Copilot, the AI-powered coding assistant that can help you write code faster and with less frustration.

In this guide, I'll walk you through the steps to create a simple application using GitHub Copilot, including what you need to get started, a step-by-step tutorial, and tips for troubleshooting. By the end, you'll have a working application and a newfound confidence in your coding abilities.

Prerequisites: What You'll Need

Before we dive in, here’s what you’ll need to follow along:

  1. A GitHub Account: Sign up for free if you don’t already have one.
  2. Visual Studio Code (VS Code): Download and install it from here.
  3. GitHub Copilot Subscription: As of June 2026, GitHub Copilot costs $10/month or $100/year. There's a free trial available for 30 days.
  4. Basic Understanding of JavaScript: While Copilot will help you write code, it’s beneficial to know the basics.

Step 1: Setting Up Your Environment

  1. Install Visual Studio Code: Open VS Code and install the GitHub Copilot extension directly from the Marketplace.
  2. Sign in to GitHub: After installing the extension, sign in to your GitHub account to activate Copilot.
  3. Create a New Project Folder: Make a new folder on your computer where you’ll store your project files.

Step 2: Create Your First File

  1. Create a New File: Inside your project folder, create a new file called app.js.
  2. Initialize a Simple Project: Type the following comment in your app.js file:
    // This is a simple web server using Node.js
    
    GitHub Copilot will suggest code to create a basic server. Accept the suggestions by pressing Tab.

Step 3: Write Your Application Logic

  1. Add Functionality: Start typing comments for what you want your application to do. For example:

    // Set up an endpoint to return "Hello, World!"
    

    Copilot will generate code for you. You can keep refining the comments to build out your application logic.

  2. Test Your Application: Run your application using Node.js. If you don't have it installed, you can download it from here. Use the terminal in VS Code to run:

    node app.js
    

Step 4: Troubleshooting Common Issues

  1. Installation Problems: If Copilot isn't responding, make sure you’re signed in to GitHub and the extension is enabled.
  2. Code Suggestions Not Appearing: Ensure that your file is saved with a .js extension and that you’re typing comments that guide Copilot.
  3. Unexpected Code: Sometimes, Copilot might generate code that doesn’t fit your needs perfectly. Don’t hesitate to modify it or write your own logic.

What's Next: Building Upon Your Application

Now that you've created a basic application, consider adding more features. You might want to:

  • Add Routing: Use a routing library like Express to handle different endpoints.
  • Implement a Frontend: Create a simple HTML file to interact with your backend.
  • Deploy Your Application: Explore platforms like Vercel or Heroku for easy deployment.

Conclusion: Start Here

If you’re ready to take the plunge into coding your first application, GitHub Copilot is a powerful ally. The combination of AI suggestions and your creativity can lead to impressive results in just an hour. Start with a simple project, and don’t hesitate to experiment with new features as you grow more comfortable.

What We Actually Use

In our experience, GitHub Copilot has been a game-changer for speeding up our coding process. We primarily use it for writing backend logic in Node.js applications and for generating boilerplate code quickly. However, we still find it essential to review and understand the code it suggests, as it doesn't always align perfectly with our needs.

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