Ai Coding Tools

How to Build a Complete Application Using GitHub Copilot in 2 Hours

By BTW Team3 min read

How to Build a Complete Application Using GitHub Copilot in 2 Hours

Building applications can often feel like a monumental task, especially for indie hackers and solo founders juggling multiple responsibilities. But what if I told you that you could build a complete application in just 2 hours using GitHub Copilot? It sounds ambitious, but with the right guidance, it’s entirely achievable. In this tutorial, I’ll walk you through the process, share some honest trade-offs, and give you a clear roadmap to get it done.

Prerequisites

Before we dive in, here’s what you’ll need to get started:

  • GitHub Account: You’ll need this to access Copilot.
  • Visual Studio Code: This is where you’ll write your code.
  • GitHub Copilot Subscription: Pricing is $10/month or $100/year as of January 2026.
  • Basic knowledge of JavaScript or Python: Familiarity with either language will help you understand the code Copilot generates.

Step-by-Step Guide to Building Your Application

Step 1: Set Up Your Development Environment (15 minutes)

  1. Install Visual Studio Code: Download and install it from here.
  2. Install GitHub Copilot: Open Visual Studio Code, go to Extensions, and search for "GitHub Copilot". Click "Install".
  3. Create a New Project Folder: Organize your files by creating a new folder for your project.

Step 2: Plan Your Application (15 minutes)

Decide on the type of application you want to build. For this tutorial, let’s create a simple To-Do List app. Here’s a basic outline of features:

  • Add tasks
  • Mark tasks as completed
  • Delete tasks

Step 3: Write the Code (60 minutes)

Now, let’s get to the fun part. You’ll be using GitHub Copilot to generate code snippets.

  1. Create an HTML file: Start with the basic structure.

    <!DOCTYPE html>
    <html lang="en">
    <head>
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>To-Do List</title>
    </head>
    <body>
        <h1>My To-Do List</h1>
        <input type="text" id="taskInput" placeholder="Add a new task">
        <button id="addTaskBtn">Add Task</button>
        <ul id="taskList"></ul>
    </body>
    </html>
    
  2. Add JavaScript: Create a script.js file and start writing functions. Use Copilot to generate the logic for adding, completing, and deleting tasks. For example, type function addTask and let Copilot suggest the rest.

  3. Style Your Application: Add a style.css file to make it visually appealing. Use Copilot for basic CSS styling.

Step 4: Test Your Application (20 minutes)

Open your HTML file in a browser and test each feature:

  • Can you add tasks?
  • Can you mark them as completed?
  • Can you delete them?

Step 5: Deploy Your Application (10 minutes)

To make your app live, you can use GitHub Pages. Here’s how:

  1. Push your code to a new GitHub repository.
  2. Go to the repository settings.
  3. Scroll down to the GitHub Pages section and select the main branch as the source.

Troubleshooting Common Issues

  • Copilot Not Generating Code: Ensure your GitHub Copilot subscription is active and that you’re logged into your GitHub account.
  • Errors in Code: If you encounter errors, check the console for messages. Copilot’s suggestions may need slight adjustments.

What's Next?

Congratulations! You’ve built a complete application using GitHub Copilot in just 2 hours. From here, consider:

  • Adding more features (like user authentication).
  • Integrating a backend (like Firebase).
  • Sharing your app with users for feedback.

Conclusion

If you’re looking to rapidly prototype and build applications, GitHub Copilot is a powerful ally. It can significantly reduce the time spent on coding, allowing you to focus on refining your ideas. Start by following this tutorial, and then experiment with your own projects.

What We Actually Use: Our team uses GitHub Copilot for rapid development and prototyping. It’s especially useful for generating boilerplate code and speeding up our workflow.

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