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

You’ve probably heard the buzz about GitHub Copilot but might be wondering if it can actually help you ship a project in a tight timeframe. The truth is, using AI tools like Copilot can significantly enhance your productivity, especially if you're a solo founder or indie hacker working on a side project. In this guide, I’ll show you how I’ve used GitHub Copilot to complete coding tasks in just two hours. Let’s dive in!

Prerequisites: What You Need

Before you can start using GitHub Copilot, ensure you have the following:

1. GitHub Account: Sign up for a free account if you don’t have one already.
2. Visual Studio Code (VS Code): Download and install VS Code, as Copilot integrates directly with it.
3. GitHub Copilot Subscription: As of July 2026, GitHub Copilot costs $10/month with a free trial for the first 30 days.
4. Basic Coding Knowledge: Familiarity with the programming language you plan to use is essential.

Step-by-Step: Completing Your Project

Step 1: Set Up Your Environment (10 minutes)

• Open Visual Studio Code and install the GitHub Copilot extension from the marketplace.
• Create a new project folder and open it in VS Code.

Step 2: Start Coding with Copilot (15 minutes)

• Begin typing a function or a class. For example, if you’re building a simple API, start with a comment like // Create an Express server.
• Copilot will automatically suggest code based on what you’ve typed. Accept the suggestion by pressing Tab.

Step 3: Refine Functionality (30 minutes)

• Continue adding comments to guide Copilot. For example, // Add a route to get user data.
• Evaluate the suggestions Copilot provides. You might need to refine or edit the code to fit your specific requirements.

Step 4: Testing Your Code (30 minutes)

• Set up a testing framework like Jest, which is straightforward if you’re using Node.js.
• Write a few test cases, and let Copilot assist you in writing the test functions based on the main code you’ve created.

Step 5: Final Review and Deployment (25 minutes)

• Go through your code and remove any unnecessary parts or comments.
• Deploy your project using a service like Heroku or Vercel, which can be done quickly with a few commands.

Expected Output

By the end of this process, you should have a functional project, complete with basic features and tests, ready for deployment.

Troubleshooting: What Could Go Wrong

1. Inaccurate Suggestions: Sometimes Copilot may suggest incorrect code. Always validate the suggestions.
2. Language Limitations: Copilot works best with popular languages like JavaScript, Python, and TypeScript. If you're using something niche, be prepared to write more manually.
3. Debugging: If your code doesn’t work as expected, take time to debug. Copilot can’t fix logical errors.

What’s Next?

After completing your project, consider the following next steps:

• Iterate: Gather feedback from users and iterate on your project.
• Scale: If your project gains traction, think about how you can scale it effectively.
• Explore Advanced Features: Look into more advanced GitHub Copilot features, like multi-line suggestions or context-aware completions.

Conclusion: Start Here

GitHub Copilot can be a game-changer for indie hackers and solo founders looking to speed up their coding process. By following the steps outlined above, you can realistically complete a project in just two hours. Remember to leverage Copilot's suggestions while also validating the code it generates to ensure quality.

What We Actually Use: In our experience at Ryz Labs, we use GitHub Copilot primarily for rapid prototyping and to handle boilerplate code, which saves us tons of time on routine tasks.