How to Use GitHub Copilot to Write an Entire Project in 2 Hours

As indie hackers and solo founders, we often find ourselves juggling multiple roles, and coding can sometimes feel like the most daunting task. What if I told you that you could leverage AI to speed up your coding process significantly? In 2026, GitHub Copilot has matured into a powerful coding assistant that can help you write an entire project in just two hours. Yes, you read that right. Let’s break down how to do it effectively.

Prerequisites: What You Need

Before diving in, make sure you have the following:

1. GitHub Account: You’ll need an account to access Copilot.
2. Visual Studio Code: This is where you'll be coding.
3. GitHub Copilot Subscription: As of March 2026, it costs $10/month for individual developers.
4. Basic Coding Knowledge: Familiarity with the programming language you're using (e.g., JavaScript, Python).

Step 1: Setting Up GitHub Copilot

1. Install Visual Studio Code: If you haven’t yet, download and install VS Code.
2. Install GitHub Copilot Extension: Go to the Extensions Marketplace in VS Code and search for "GitHub Copilot". Click "Install".
3. Sign In to GitHub: Once installed, sign in to your GitHub account.

Expected Output: You should see a Copilot icon in your VS Code sidebar, indicating that it’s ready to assist you.

Step 2: Start Your Project

1. Create a New Repository: Set up a new repository on GitHub for your project.
2. Initialize Your Project: Open a new folder in VS Code and create a new file (e.g., app.js for a Node.js project).

Step 3: Leverage GitHub Copilot

1. Write Comments for Functionality: Start by typing comments that describe what you want to achieve. For example:

   // Create a function to fetch data from an API
   

   Copilot will suggest code snippets based on your comments.

2. Accept Suggestions: When Copilot suggests code, you can accept it by pressing Tab. If it’s not what you want, you can cycle through other suggestions with the arrow keys.

3. Refine Your Code: Continue adding comments and refining your code until you have a complete working function.

Example Code Snippet

// Fetch data from an API
async function fetchData(url) {
    const response = await fetch(url);
    const data = await response.json();
    return data;
}

Step 4: Testing Your Code

1. Set Up Test Cases: Write simple test cases to ensure your code works as expected. For example:

   // Test fetchData function
   fetchData('https://api.example.com/data').then(data => {
       console.log(data);
   });
   

2. Run Your Tests: Use the terminal in VS Code to run your project and check for any errors.

Troubleshooting: What Could Go Wrong

• Incomplete Suggestions: Sometimes Copilot may not understand your intent fully. If the suggestions don’t fit your needs, don’t hesitate to tweak the comments or add more context.
• Errors in Code: Always double-check the generated code. AI can make mistakes, and it’s up to you to validate the output.

What's Next: Scaling Your Project

Once your initial project is up and running, consider:

• Adding More Features: Use Copilot to help you brainstorm and implement additional features.
• Version Control: Make sure to commit your changes to GitHub regularly.
• Seek Feedback: Share your project with peers for insights and improvements.

Conclusion: Start Here

Using GitHub Copilot can drastically cut down your coding time. By following these steps, you can effectively write an entire project in about two hours. The key is to use comments to guide Copilot and refine the output as necessary.

If you're looking to maximize your productivity while coding, give GitHub Copilot a shot. You may find it’s the tool that makes your side projects not only feasible but also enjoyable.