How to Use GitHub Copilot in 3 Steps for Beginners

If you're just starting out with coding, the landscape can feel overwhelming. You might be wondering how to write efficient code or solve problems quickly without getting lost in documentation. Enter GitHub Copilot, an AI-powered code assistant that can help you write code faster and improve your coding workflow. But how do you actually get started with it? In this guide, I’ll walk you through three straightforward steps to integrate GitHub Copilot into your coding routine in 2026.

Step 1: Setting Up GitHub Copilot

Prerequisites

• A GitHub account (free or paid)
• Visual Studio Code (VS Code) installed on your machine
• Basic understanding of coding concepts

Installation

1. Sign Up for GitHub Copilot: Go to the GitHub Copilot page and sign in with your GitHub account. As of June 2026, GitHub Copilot is priced at $10/month after a free trial period.
2. Install the Extension: Open Visual Studio Code, go to the Extensions view (Ctrl+Shift+X), and search for "GitHub Copilot". Click "Install" to add the extension to your editor.
3. Authenticate: Once installed, you will need to authenticate your GitHub account. Follow the prompts to allow Copilot access to your GitHub.

Expected Output

After following these steps, you should see a Copilot icon in your VS Code sidebar. When you start coding, suggestions should appear automatically.

Step 2: Using GitHub Copilot to Write Code

How It Works

GitHub Copilot uses machine learning to predict the code you are likely to write based on the context. Here’s how you can utilize it effectively:

1. Start Typing: Begin writing a function or a comment that describes what you want to do. For example, if you type // Function to calculate the sum of an array, Copilot will suggest a code block to fulfill that request.
2. Accept Suggestions: You can accept a suggestion by pressing Tab or Enter. If you want to see more options, press Ctrl+Space to cycle through different suggestions.
3. Iterate: If the first suggestion isn’t quite right, tweak your comment or code slightly and let Copilot generate a new suggestion. This iterative process helps refine the output.

Limitations

While Copilot can be incredibly helpful, it’s not perfect. It may suggest code that doesn’t quite fit your needs or even contain bugs. Always review the generated code carefully.

Step 3: Improving Your Coding Workflow

Enhance Your Skills

1. Learn from Suggestions: Pay attention to how Copilot structures code and what libraries or frameworks it suggests. This can be a great learning opportunity for beginners.
2. Use in Pair Programming: If you’re working with someone else, treat Copilot like a pair programming partner. Discuss the suggestions it offers and decide together on the best approach.
3. Experiment with Different Languages: Copilot supports multiple programming languages, including JavaScript, Python, and Go. Try it out with different languages to see how it adapts.

What Could Go Wrong

• Overreliance: Don’t become too dependent on Copilot; it’s important to understand the code you’re writing.
• Inaccurate Suggestions: Always verify the accuracy of the code suggestions. Copilot may not be up to date on the latest best practices.

Conclusion: Start Here

In conclusion, getting started with GitHub Copilot is a straightforward process that can significantly enhance your coding experience. Start by setting it up in your VS Code, use it to generate code, and continuously improve your skills by learning from its suggestions.

If you're a beginner looking to streamline your coding workflow, GitHub Copilot is a solid choice. Just remember to balance its use with your own coding education.