How to Use GitHub Copilot to Reduce Coding Time by 50%: A Step-by-Step Guide

If you’re a solo founder or indie hacker, you know that time is your most precious resource. Coding can eat up hours, and if you’re not careful, it can take away from other critical tasks like marketing or user research. Enter GitHub Copilot, an AI-powered coding assistant that promises to cut your coding time in half. But does it really deliver? In this guide, I’ll share how to effectively integrate GitHub Copilot into your workflow, including practical steps and honest insights from our own experience.

Estimated Time to Set Up

You can finish this setup in about 1-2 hours, depending on your familiarity with Visual Studio Code (VS Code).

Prerequisites

Before you dive in, make sure you have:

• A GitHub account (free)
• Visual Studio Code installed (free)
• GitHub Copilot subscription ($10/mo after a 60-day free trial)

Step 1: Set Up GitHub Copilot in VS Code

1. Install Visual Studio Code: If you haven’t already, download and install VS Code from the official website.
2. Sign Up for GitHub Copilot: Go to your GitHub account, navigate to the Copilot page, and sign up for the subscription.
3. Install the GitHub Copilot Extension: Open VS Code, go to the Extensions view (Ctrl+Shift+X), and search for "GitHub Copilot". Click "Install".

Expected Output

Once installed, you should see a small Copilot icon in the bottom right of your VS Code.

Step 2: Start Coding with Copilot

Now that you have Copilot set up, let’s put it to work.

1. Create a New File: Start a new JavaScript or Python file.
2. Write a Comment: Type a comment describing the function you want to create, e.g., // Function to calculate the Fibonacci sequence.
3. Watch Copilot Suggest: After writing your comment, Copilot will automatically suggest code. You can accept the suggestion by pressing Tab.

Tips for Effective Use

• Be Specific: The more detailed your comments, the better Copilot’s suggestions will be.
• Iterate: If the first suggestion isn’t right, keep typing or modify your comments for better results.

Step 3: Review and Test the Code

Always review the code generated by Copilot. While it can significantly speed up development, it’s not infallible.

1. Test the Code: Run the code to ensure it works as expected.
2. Refactor as Needed: Don’t hesitate to modify and refactor the suggestions to fit your project’s needs.

What Could Go Wrong

Sometimes Copilot can generate code that doesn’t quite fit your context or has bugs. Always perform thorough testing and use version control to manage changes.

Step 4: Integrate Copilot into Your Workflow

Start using Copilot for different aspects of your projects:

• Boilerplate Code: Use it to generate repetitive code structures.
• APIs: Write comments for API calls and let Copilot handle the syntax.
• Documentation: Copilot can help generate code comments and documentation.

Limitations

While Copilot is powerful, it may not always understand the nuances of your specific project or coding style. It can also struggle with less common languages or frameworks.

What’s Next?

After getting comfortable with Copilot, consider exploring these additional tools to complement your coding process:

• Prettier: For code formatting ($0-20/mo).
• ESLint: For JavaScript code quality ($0).
• Postman: For API testing ($0-12/mo).

Conclusion

To truly harness the power of GitHub Copilot, start by integrating it into your daily coding tasks, review its outputs critically, and use it to handle repetitive tasks. This approach can realistically reduce your coding time by 50%.

Start here: If you haven’t already, sign up for GitHub Copilot and follow the steps outlined in this guide. You won’t look back.