How to Use GitHub Copilot to Increase Your Coding Speed by 25%

If you've ever found yourself staring at a blank screen, waiting for the perfect line of code to pop into your head, you’re not alone. As indie hackers and solo founders, we often juggle multiple roles, and spending excessive time on coding can feel like a drag. Enter GitHub Copilot: an AI-powered coding assistant that promises to boost your coding speed by up to 25%. In this guide, I’ll share how you can leverage Copilot effectively, what to expect, and some honest trade-offs.

Time Estimate: 1-2 Hours

You can set up GitHub Copilot and start seeing results in about 1-2 hours, depending on your familiarity with your coding environment.

Prerequisites

• A GitHub account (free to create)
• Visual Studio Code (VS Code) installed
• GitHub Copilot subscription (details below)

Setting Up GitHub Copilot

Step 1: Create Your GitHub Account

If you don’t have a GitHub account, sign up at GitHub.com. It’s free and will take just a few minutes.

Step 2: Install Visual Studio Code

Download and install VS Code from Visual Studio Code. This is where you'll be doing most of your coding.

Step 3: Install the GitHub Copilot Extension

1. Open VS Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
3. Search for “GitHub Copilot” and click on Install.

Step 4: Subscribe to GitHub Copilot

As of 2026, GitHub Copilot costs $10/month or $100/year. There’s a free trial for the first month, which is perfect for testing if it fits your workflow.

Step 5: Start Coding

Open any file (JavaScript, Python, etc.) and start typing. Copilot will automatically suggest code snippets based on what you’re writing. Accept its suggestions by pressing the Tab key.

How to Maximize Copilot's Effectiveness

1. Use Descriptive Comments

Copilot thrives on context. Start with a comment that describes what you want to achieve. For example, typing // Function to calculate Fibonacci series will prompt Copilot to suggest a relevant implementation.

2. Break Down Complex Problems

Instead of writing long functions, break your tasks into smaller functions. This allows Copilot to generate more precise suggestions.

3. Review and Refine Suggestions

Don’t blindly accept suggestions. Always review the generated code for accuracy and efficiency. In our experience, while Copilot can speed things up, it occasionally outputs inefficient code that needs refining.

4. Leverage Copilot Labs

GitHub Copilot Labs is an experimental feature that provides new capabilities. You can use it to generate tests, refactor code, or even translate code from one language to another. Check it out in the Extensions panel.

5. Integrate with Other Tools

Consider using Copilot alongside tools like Prettier for code formatting or ESLint for code quality. This combination can save you time in debugging and formatting.

Troubleshooting Common Issues

• Not Seeing Suggestions: Ensure that you’re connected to the internet and that your subscription is active.
• Suggestions are Irrelevant: Improve context by adding more comments or breaking down your code into smaller parts.
• Performance Lag: If VS Code runs slowly, try disabling other extensions to see if Copilot speeds up.

What's Next?

Once you’re comfortable with Copilot, consider exploring other AI coding tools to complement it. Tools like Tabnine or Replit's Ghostwriter can bring additional perspectives and functionality to your workflow.

Conclusion: Start Here

GitHub Copilot can genuinely increase your coding speed by 25% if you implement it effectively. With its ability to generate code snippets and suggestions based on context, it’s a game-changer for indie hackers and solo founders. Just remember to review the code it generates and refine it to fit your needs.

What We Actually Use

In our tech stack, we use GitHub Copilot primarily for rapid prototyping and writing boilerplate code. However, we balance it with manual coding to ensure quality and performance.