How to Use GitHub Copilot to Boost Your Coding Speed by 30% in 2026

As indie hackers and solo founders, we often find ourselves juggling multiple tasks, and coding can sometimes feel like an uphill battle. Enter GitHub Copilot, an AI-powered coding assistant that promises to boost your coding speed significantly. In our experience, it can actually help you code faster—by about 30%—if you use it right. But how do you harness its full potential? Let's break it down.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests code snippets and functions based on the context of what you're writing. It integrates seamlessly with popular code editors like Visual Studio Code, making it easy to adopt.

• Pricing: $10/month per user (as of July 2026)
• Best for: Developers looking to speed up coding tasks and reduce boilerplate code.
• Limitations: It may generate incorrect code or suggestions that don't fit your specific needs. Always review its output carefully.
• Our take: We use Copilot for writing repetitive code and boilerplate functions, but we always double-check its suggestions.

Prerequisites for Using GitHub Copilot

Before you dive in, make sure you have the following:

1. GitHub Account: You need a GitHub account to access Copilot.
2. Visual Studio Code: Ensure you have this installed, as Copilot works best here.
3. Copilot Extension: Download and install the GitHub Copilot extension from the VS Code marketplace.

Step-by-Step Guide to Boosting Your Coding Speed

Step 1: Setting Up GitHub Copilot

1. Install Visual Studio Code: If you haven't already, download and install VS Code.
2. Install GitHub Copilot: Open VS Code, go to the Extensions tab, and search for "GitHub Copilot." Click "Install."
3. Sign In: After installation, sign in with your GitHub account to activate Copilot.

Step 2: Start Coding with Copilot

1. Begin a New File: Open a new file in your preferred programming language.
2. Write a Comment: Start by typing a comment that describes the function or code you want to create. For example, // Function to calculate the Fibonacci sequence.
3. Accept Suggestions: As you type, Copilot will suggest code snippets. You can accept a suggestion by pressing Tab or continue typing to refine the suggestions.

Step 3: Review and Test the Code

1. Check for Errors: After accepting a suggestion, review the code for any potential errors or mismatches with your requirements.
2. Run Tests: Always run tests after implementing new code to ensure everything works as expected.

Troubleshooting Common Issues

• Incorrect Suggestions: Sometimes, Copilot may suggest code that doesn't make sense. If this happens, try rephrasing your comment or providing more context.
• Performance Lag: If Copilot is slow to respond, check your internet connection, as it requires real-time API access.

What's Next?

Now that you're familiar with using GitHub Copilot, consider exploring additional coding tools to further enhance your productivity. Some tools that integrate well with Copilot include:

• Postman: For API testing and documentation.
• Jest: For running tests on your JavaScript code.
• Docker: To manage your application environments.

Conclusion: Start Here

If you're looking to boost your coding speed, GitHub Copilot is a solid investment. With a monthly subscription of $10, it can save you countless hours in repetitive coding tasks. Just remember to review its suggestions carefully, and you'll find that your productivity can indeed increase by around 30%.

What We Actually Use: We rely on GitHub Copilot for boilerplate code and function generation, but we also keep Postman handy for API testing and Jest for our testing needs.