How to Use GitHub Copilot to Write Code 3x Faster (2026)

If you’re a solo founder or indie hacker, you know the grind of writing code can be exhausting and time-consuming. Enter GitHub Copilot—a tool that promises to supercharge your coding speed. But does it really deliver on that promise? In this guide, I’ll walk you through how to effectively use GitHub Copilot to write code faster than ever, while also sharing our experiences, limitations, and what you can realistically expect.

What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant that helps you write code by suggesting whole lines or blocks of code right in your IDE. Think of it as your personal coding buddy that can help you avoid repetitive tasks, reduce boilerplate code, and even suggest solutions to complex problems.

• Pricing: $10/mo per user or $100/year.
• Best for: Developers looking to speed up coding tasks, especially those working on repetitive or boilerplate code.
• Limitations: May suggest incorrect or insecure code; requires careful review.

Prerequisites for Getting Started

Before diving in, make sure you have the following:

• GitHub Account: You’ll need this to sign up for Copilot.
• Supported IDE: Copilot works best with Visual Studio Code, JetBrains, and Neovim.
• Basic Coding Knowledge: Familiarity with the programming language you’re using is essential.

Setting Up GitHub Copilot

1. Sign Up for GitHub Copilot: Go to the GitHub Copilot page and sign up. It’s pretty straightforward—just follow the prompts.

2. Install the Extension: If you’re using Visual Studio Code, install the GitHub Copilot extension from the marketplace. For JetBrains or Neovim, follow the specific installation instructions for those environments.

3. Activate Copilot: Once installed, activate Copilot in your IDE. You might need to log in with your GitHub credentials.

4. Start Coding: Begin writing your code! As you type, Copilot will start suggesting completions. You can accept a suggestion by hitting Tab.

Tips to Maximize Your Efficiency

1. Use Comments to Guide Suggestions

When you write a comment describing what you want to achieve, Copilot often generates more relevant suggestions.

Example:

// Function to calculate the factorial of a number
function factorial(n) {

2. Leverage Contextual Awareness

Copilot learns from the context of your code. The more you write, the better it becomes at suggesting relevant completions.

3. Review and Refine Suggestions

Always review the code Copilot suggests. While it’s a great tool, it can generate errors or insecure code. Make it a habit to test and refine the output.

Comparison with Other AI Coding Tools

| Tool Name | Pricing | Best For | Limitations | Our Verdict | |------------------|-----------------------|------------------------------|----------------------------------|-------------------------------| | GitHub Copilot | $10/mo | Fast coding suggestions | May suggest insecure code | Great for solo projects | | Tabnine | Free tier + $12/mo | Autocomplete for snippets | Limited context awareness | Good for quick fixes | | Replit Ghostwriter| $20/mo | Collaborative coding | Limited language support | Best for team projects | | Codex | $0-100/mo | Complex code generation | Requires more setup | Powerful but complex | | Codeium | Free | Basic code suggestions | Less robust than Copilot | Good for beginners |

What We Actually Use

In our experience, GitHub Copilot is our go-to tool for coding. We’ve found it immensely helpful for reducing the time spent on boilerplate code, especially when working on side projects. However, we complement it with Tabnine for quick snippet completions and Codeium for more complex code generation when needed.

Conclusion: Start Here

If you’re looking to write code faster, GitHub Copilot is a solid choice, especially for indie hackers and solo founders. Start by signing up, installing the extension, and experimenting with it in your projects. Remember to guide it with comments and review its suggestions critically.

For those just starting, the $10/month price is manageable, and the time savings can be significant.

Ready to speed up your coding? Give GitHub Copilot a try!