How to Use GitHub Copilot to Write a Full Feature in Under 2 Hours

If you’re like me, you’ve probably spent hours wrestling with code, debugging, and trying to remember syntax. What if I told you that with GitHub Copilot, you can write a full feature in less than two hours? Sounds too good to be true, right? Well, I've been using Copilot for a while now, and I can confidently say that it can significantly speed up your coding process—if you know how to use it effectively. In this guide, I’ll walk you through the steps to leverage GitHub Copilot for building a feature quickly, including what you need to get started and some trade-offs to consider.

Prerequisites: What You Need Before Starting

Before diving in, make sure you have the following:

1. GitHub Account: You’ll need an account to access Copilot.
2. Visual Studio Code: Copilot works best within this IDE.
3. GitHub Copilot Subscription: As of August 2026, it costs $10/month or $100/year after a free trial.
4. Basic Understanding of JavaScript (or the language you plan to use): While Copilot can help, you still need to understand what it’s generating.

Step 1: Set Up Your Environment

1. Install Visual Studio Code: If you don't have it yet, download and install Visual Studio Code from here.
2. Install GitHub Copilot Extension: In VS Code, go to Extensions (Ctrl+Shift+X) and search for "GitHub Copilot". Install it.
3. Authenticate with GitHub: After installing, you’ll need to authenticate your GitHub account to start using Copilot.

Expected output: You should see Copilot suggestions in your editor as you type.

Step 2: Define Your Feature

Before you start coding, outline what you want to build. For this example, let’s say we want to create a simple to-do list application with features to add, remove, and mark tasks as complete.

Expected outputs:

• A clear list of functionalities you want (e.g., Add Task, Remove Task, Mark Complete).

Step 3: Start Coding with Copilot

Now comes the fun part. Here’s how to use Copilot effectively:

1. Create a New File: Open a new JavaScript file (e.g., todo.js).

2. Write a Comment for Each Function: Start by writing a comment for each function you want to implement. For example:

   // Function to add a new task
   

   Copilot will automatically suggest a function implementation as you type.

3. Accept or Modify Suggestions: Press Tab to accept a suggestion or modify it if necessary.

4. Repeat for Each Function: Do this for every functionality you’ve outlined.

Expected output: You should have a fully functional todo.js file within 60-90 minutes.

Step 4: Testing Your Code

Once you've implemented the features, it's time to test them:

1. Run Your Code: If you're using a local server, run it and check if the features work as expected.
2. Debug with Copilot: If something doesn’t work, you can type a comment about the issue, and Copilot may help you fix it.

Expected output: A working to-do list application.

Troubleshooting: What Could Go Wrong

1. Incomplete Suggestions: Sometimes, Copilot might not provide a complete solution. Be ready to fill in the gaps.
2. Syntax Errors: Always double-check the generated code for syntax errors—Copilot can miss these.
3. Logic Errors: Ensure that the logic of the generated code makes sense. Copilot doesn’t understand your overall application context.

What's Next: Enhancements and Deployment

Once your feature is working, consider enhancing it with additional features like:

• User authentication
• Persistent storage using local storage or a database
• A more sophisticated UI using frameworks like React or Vue

You can also explore deploying your application on platforms like Vercel or Netlify to share it with others.

Conclusion: Start Here

If you’re looking to speed up your coding process, GitHub Copilot can be a valuable tool in your arsenal. By following these steps, you can write a full feature in under two hours, making it a great option for indie hackers and solo founders looking to build quickly. Just remember to keep an eye on the limitations and always verify the code it generates.

What We Actually Use

In our stack, we rely on GitHub Copilot for rapid development, especially for prototyping and building MVPs. While it's not perfect, it saves us time and helps us focus on higher-level design rather than getting bogged down in syntax.