30-Minute Guide: How to Set Up GitHub Copilot for Faster Coding

If you’re a solo founder or indie hacker, you know the importance of efficiency in coding. Spending hours debugging or writing boilerplate code can drain your energy and hold back your project. Enter GitHub Copilot—a tool that promises to speed up your coding process by suggesting code snippets as you type. But how do you set it up effectively to get the most out of it?

In this guide, I’ll walk you through the setup process for GitHub Copilot, share my thoughts on its limitations, and provide actionable tips to get you coding faster. You can complete this setup in about 30 minutes, so let’s dive in.

Prerequisites: What You Need

Before you start, make sure you have the following:

• GitHub Account: You can create a free account if you don’t have one.
• Visual Studio Code (VS Code): Download and install the latest version of VS Code if you haven’t already.
• GitHub Copilot Subscription: As of 2026, GitHub Copilot costs $10/month for individuals, with a free trial available for the first 30 days.

Step 1: Install Visual Studio Code

1. Go to Visual Studio Code's website.
2. Download the appropriate version for your operating system (Windows, macOS, or Linux).
3. Follow the installation instructions to set it up on your machine.

Expected Output: You should have a fully functional VS Code environment ready to go.

Step 2: Install GitHub Copilot Extension

1. Open VS Code.
2. Navigate to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side or pressing Ctrl+Shift+X.
3. In the search bar, type "GitHub Copilot."
4. Click on "Install" for the GitHub Copilot extension.

Expected Output: The GitHub Copilot icon should now appear in your VS Code sidebar.

Step 3: Sign In to GitHub

1. After installation, you’ll see a prompt to sign in.
2. Click on "Sign in" and follow the authentication steps, which will redirect you to GitHub’s website.
3. Authorize the application to access your GitHub account.

Expected Output: You should see a confirmation message in VS Code indicating that you’re signed in.

Step 4: Enable GitHub Copilot

1. Go to the settings by clicking on the gear icon in the lower left corner and selecting "Settings."
2. Search for "Copilot" in the settings search bar.
3. Ensure that the "Enable GitHub Copilot" option is checked.

Expected Output: GitHub Copilot is now activated and ready to assist you.

Step 5: Start Coding with GitHub Copilot

1. Open a new file in VS Code and start writing code.
2. As you type, you’ll see suggestions appear automatically. You can accept a suggestion by pressing Tab.

Expected Output: You should see code suggestions based on what you’re writing, helping you code faster.

Troubleshooting: What Could Go Wrong

• No Suggestions Appearing: Make sure you’re connected to the internet and that your GitHub Copilot subscription is active.
• Extension Not Working: Try disabling and re-enabling the GitHub Copilot extension in the Extensions view.

What's Next: Maximizing Your GitHub Copilot Experience

Once you’ve set up GitHub Copilot, consider the following tips to maximize its effectiveness:

• Use Comments: Write comments in plain English to guide Copilot. For example, typing // function to calculate the area of a rectangle can result in relevant function code.
• Explore Settings: Experiment with different settings in the GitHub Copilot options to tailor its suggestions to your coding style.
• Pair with Other Tools: Use Copilot alongside tools like ESLint for linting and Prettier for formatting to maintain code quality.

Conclusion: Start Coding Faster Today

Setting up GitHub Copilot is a quick process that can significantly boost your coding efficiency. With its intelligent suggestions, you can focus more on building your product rather than getting bogged down in the details.

Start by downloading VS Code, installing the GitHub Copilot extension, and following the steps outlined above. You'll be coding faster in no time.

What We Actually Use

In our experience, we use GitHub Copilot primarily for writing boilerplate code and generating quick functions. However, we still rely on manual coding for complex logic to maintain control and ensure quality.