How to Use GitHub Copilot to Write Code 3x Faster

As a solo founder or indie hacker, time is often your most precious resource. You might find yourself spending hours on coding tasks that could be streamlined. Enter GitHub Copilot—an AI pair programmer that promises to help you code faster and more efficiently. But does it really deliver? In this guide, we’ll break down how to effectively use GitHub Copilot to potentially write code three times faster based on our experiences in 2026.

What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant that suggests whole lines or blocks of code as you type. It uses machine learning models trained on a massive dataset of public code to provide context-aware suggestions.

• Pricing: $10/month or $100/year (as of August 2026).
• Best for: Developers looking for an intelligent coding assistant to speed up routine tasks.
• Limitations: While it excels in suggesting common patterns, it may struggle with complex logic or niche frameworks.

Prerequisites: What You Need to Get Started

Before diving into using GitHub Copilot, make sure you have:

1. A GitHub account (free or paid).
2. A code editor that supports GitHub Copilot (Visual Studio Code is the most popular choice).
3. Basic understanding of the programming language you’re using (JavaScript, Python, etc.).

Step-by-Step: Setting Up GitHub Copilot

Step 1: Install Visual Studio Code

If you haven't already, download and install Visual Studio Code, which is free and works on all platforms.

Step 2: Install the GitHub Copilot Extension

1. Open Visual Studio Code.
2. Go to the Extensions view (Ctrl + Shift + X).
3. Search for "GitHub Copilot".
4. Click "Install".

Step 3: Sign in to GitHub

After installation, you’ll need to sign in to your GitHub account. Follow the prompts to authenticate.

Step 4: Start Coding

Open a new file and start typing code. For example, if you start writing a function, GitHub Copilot will suggest completions. You can accept a suggestion by pressing Tab.

Expected Outputs

As you code, you should see GitHub Copilot generating suggestions that can range from simple lines to complex functions, significantly reducing the time you spend writing boilerplate code.

Troubleshooting: What Could Go Wrong

1. Suggestions are irrelevant: Sometimes Copilot suggests code that doesn’t fit your needs. If that happens, try writing more context or comments to guide it better.
2. Performance issues: If your editor becomes sluggish, consider disabling other extensions to see if they’re causing the problem.

What’s Next: Maximizing Your Efficiency

Once you're comfortable with Copilot, consider integrating it into your daily workflow. Here are a few strategies:

• Pair with Code Reviews: Use Copilot to generate initial implementations, then refine them during code reviews.
• Explore Advanced Features: Copilot can assist with tests and documentation generation—experiment with these to save even more time.
• Feedback Loop: Use the feedback feature to help improve Copilot's suggestions based on your specific coding style.

Conclusion: Start Here

If you're looking to boost your coding efficiency, GitHub Copilot is worth a shot. It can genuinely help you write code faster, especially for repetitive tasks. Start by setting it up as outlined above and gradually integrate it into your workflow.

What We Actually Use

In our experience, we combine GitHub Copilot with tools like Replit for collaborative coding and Postman for API testing. This stack allows us to ship features quickly while maintaining quality.