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

As solo founders and indie hackers, we often find ourselves juggling multiple roles. Writing code can be time-consuming, and let's be honest—sometimes it feels like a chore. What if I told you that you could leverage AI to help you write an entire coding project in under two hours? Enter GitHub Copilot, a tool that combines the power of AI with your coding expertise. But before you jump in, let’s explore how to actually make this work, the limitations, and the real trade-offs involved.

Prerequisites: What You Need to Get Started

Before diving into using GitHub Copilot, there are a few things you’ll want to have ready:

1. GitHub Account: You’ll need an account to access GitHub Copilot.
2. Visual Studio Code (VS Code): This is the primary IDE where Copilot integrates seamlessly.
3. Copilot Subscription: As of July 2026, GitHub Copilot costs $10/month, but there's a free trial available for new users.
4. Basic Project Idea: Have a clear idea of what project you want to build. A well-defined scope will help you utilize Copilot effectively.

Step-by-Step: Building Your Project with Copilot

Step 1: Set Up Your Environment (15 minutes)

• Install VS Code: If you don’t have it, download and install Visual Studio Code.
• Install GitHub Copilot: Go to the Extensions Marketplace in VS Code and search for "GitHub Copilot." Click install.
• Sign In: Authenticate your GitHub account to enable Copilot.

Step 2: Define Your Project Structure (10 minutes)

Create a new folder for your project and set up a basic file structure. For example, if you're building a simple web app, you might want:

/my-app
  /index.html
  /style.css
  /app.js

Step 3: Start Writing Code with Copilot (1 hour)

1. Begin with Comments: In your app.js, start by writing comments that describe the functionality you want. For example:

   // Create a function to fetch user data from an API
   

   Copilot will suggest code snippets based on your comments.

2. Iterate: As you write more comments, Copilot will continue to generate code. Accept its suggestions by pressing Tab or modify them as needed.

3. Test as You Go: Use a local server to test your project frequently to catch any issues early.

Step 4: Finalize and Debug (30 minutes)

• Run Tests: If your project includes tests, run them to ensure everything works as expected.
• Debugging: Use the debugging tools in VS Code to troubleshoot any issues that arise.

Expected Output

By the end of this process, you should have a functional project that you can build upon. The key here is to leverage GitHub Copilot to speed up the coding process while still applying your own logic and creativity.

Troubleshooting: What Could Go Wrong

1. Inaccurate Suggestions: Copilot may generate code that doesn’t fully align with your needs. Always review what it suggests critically.
2. Limited Context Understanding: Copilot doesn’t know your entire project context. If your project is complex, you may need to guide it more explicitly.
3. Dependency Management: If your project requires specific libraries, make sure to install them manually as Copilot won’t handle that.

Pricing Comparison: GitHub Copilot vs. Alternatives

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-----------------------|--------------------------|------------------------------------|-------------------------------| | GitHub Copilot | $10/mo (Free trial) | AI-assisted coding | May generate incorrect code | Essential for rapid prototyping | | TabNine | $12/mo (Free tier + $20/mo Pro) | Autocompletion | Limited to basic suggestions | Good for simple projects | | Replit | Free + $20/mo Pro | Collaborative coding | Performance issues on large apps | Great for team projects | | Codeium | Free | AI-powered autocomplete | Lacks advanced debugging features | Good for basic tasks | | Sourcery | $19/mo | Refactoring code | Focused on Python only | Ideal for Python developers |

Conclusion: Start Here

If you’re looking to write an entire project in under two hours, GitHub Copilot is a tool worth considering. While it won’t do everything for you, it can significantly speed up the coding process if you provide clear guidance. Just remember to test your code frequently and be ready to make adjustments.

What We Actually Use

In our experience, GitHub Copilot remains a staple in our toolkit for rapid development, especially for smaller projects. We also occasionally use TabNine for its autocomplete capabilities, but Copilot's integration with VS Code makes it our go-to choice.