How to Use GitHub Copilot to Enhance Your Coding in 30 Minutes

If you’ve ever stared at a blank screen wondering how to start a project, you're not alone. As indie hackers and solo founders, we often juggle multiple responsibilities, and coding can feel daunting. GitHub Copilot, an AI-powered coding assistant, aims to bridge that gap. In just 30 minutes, you can set it up and start enhancing your coding efficiency. Let's dive into how to get started and maximize its potential.

Prerequisites

Before we jump in, here’s what you need:

• GitHub Account: You’ll need a GitHub account to use Copilot.
• Visual Studio Code (VS Code): This is where you'll be using Copilot. Download it if you haven't already.
• GitHub Copilot Subscription: As of June 2026, Copilot costs $10/month or $100/year.

Step-by-Step Setup Guide

Step 1: Install Visual Studio Code

1. Go to the VS Code website.
2. Download and install the version suitable for your operating system.

Expected Output: A fully functional VS Code environment.

Step 2: Install GitHub Copilot

1. Open VS Code and navigate to the Extensions view by clicking on the Extensions icon in the Activity Bar or pressing Ctrl+Shift+X.
2. Search for "GitHub Copilot" and click on the install button.

Expected Output: GitHub Copilot should now be installed and ready to use.

Step 3: Sign In to GitHub

1. After installation, you’ll see a prompt to sign in to your GitHub account.
2. Follow the on-screen instructions to authorize Copilot.

Expected Output: You should see a confirmation that you are signed in.

Step 4: Start Coding with Copilot

1. Open a new file and start typing your code. Copilot will automatically provide suggestions.
2. You can accept suggestions by pressing Tab or Enter.

Expected Output: Copilot will generate code snippets based on your input.

Step 5: Customize Copilot Settings

1. Go to the settings in VS Code (File > Preferences > Settings).
2. Search for "Copilot" to find customization options, such as enabling/disabling suggestions.

Expected Output: Tailored suggestions based on your preferences.

Troubleshooting

Common Issues:

• Copilot Not Suggesting Code: Ensure you are logged in and that the extension is enabled.
• Slow Suggestions: Check your internet connection, as Copilot requires an active connection to function.

What’s Next?

Once you’ve set up Copilot, consider exploring its more advanced features. You can use it for writing tests, generating entire functions, or even drafting documentation. Experiment with different coding languages and frameworks to see how Copilot tailors its suggestions.

Tool Comparison Table

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|------------------------|--------------------------------|-------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo or $100/yr | Code suggestions in VS Code | Limited to supported languages | Essential for quick coding help | | Tabnine | Free tier + $12/mo | AI coding suggestions | Not as integrated with VS Code | Good for specific languages | | Kite | Free + $19.90/mo | Python code completion | Limited to Python | Great for Python developers | | Codeium | Free | General coding assistance | Fewer features compared to Copilot | Good starting point | | Sourcery | Free tier + $12/mo | Python code improvement | Focuses only on Python | Useful for optimization | | Codex | $0-20/mo for indie scale | Advanced AI coding tasks | Requires more setup | Powerful but complex |

Conclusion

To wrap it up, GitHub Copilot can dramatically enhance your coding experience in just 30 minutes. Start by setting it up in VS Code, and make sure to customize the settings to fit your workflow. The initial investment of $10/month is worth it considering the time you'll save on coding tasks.

What We Actually Use

In our experience, we rely on GitHub Copilot for quick code suggestions, especially when starting new projects. For more complex tasks, we keep Tabnine as a backup. If you’re just getting started, Copilot is the way to go.