How to Use GitHub Copilot in 15 Minutes for Faster Development

If you’re a solo founder or an indie hacker, you know how precious time is. Every minute spent coding can feel like a mountain of opportunity slipping away. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster and more efficiently. In this guide, I’ll show you how to get started with GitHub Copilot in just 15 minutes, so you can get back to building your project.

Prerequisites: What You Need Before Getting Started

Before diving into GitHub Copilot, here’s what you need:

• GitHub Account: You’ll need an account to access Copilot.
• Visual Studio Code: This tutorial assumes you’re using VS Code, as Copilot integrates seamlessly with it.
• GitHub Copilot Subscription: As of February 2026, Copilot costs $10/month or $100/year. There’s a free trial available for new users.

Step 1: Install GitHub Copilot in Visual Studio Code

1. Open VS Code: Launch Visual Studio Code on your machine.
2. Go to Extensions: Click on the Extensions view icon in the Activity Bar on the side of the window.
3. Search for Copilot: Type "GitHub Copilot" in the search bar.
4. Install the Extension: Click the Install button on the GitHub Copilot extension.

Expected Output: After installation, you should see a Copilot icon in your Activity Bar.

Step 2: Authenticate Your GitHub Account

1. Sign In: After installing, you’ll be prompted to sign in to your GitHub account.
2. Authorize Copilot: Follow the instructions to authorize GitHub Copilot to access your account.

Expected Output: A confirmation message should indicate that you’re successfully signed in.

Step 3: Start Coding with Copilot

1. Create a New File: Start a new JavaScript, Python, or any supported file type.
2. Write a Comment: Begin by writing a comment that describes what you want to do. For example, // Function to calculate factorial.
3. Let Copilot Suggest: Press Tab or Enter to accept Copilot’s suggestions.

Expected Output: Copilot should auto-generate a function based on your comment.

Step 4: Edit and Refine Suggestions

1. Review the Code: Take a moment to review the code Copilot generates. It might not always be perfect.
2. Make Adjustments: Feel free to tweak the code as necessary, or ask Copilot for further suggestions by writing additional comments.

Step 5: Troubleshooting Common Issues

If you face any issues, here are some common problems and their solutions:

• No Suggestions: Ensure that your comments are clear and descriptive. Copilot works best with context.
• Authentication Errors: Double-check that you are properly signed into your GitHub account and have a valid Copilot subscription.

What’s Next: Maximizing the Use of GitHub Copilot

Once you’re comfortable with GitHub Copilot, try integrating it into your daily workflow. Use it for boilerplate code, generating tests, or even writing documentation. The more you use it, the better it gets at understanding your coding style.

Comparison Table of AI Coding Tools

| Tool | Pricing | Best For | Limitations | Our Take | |-------------------|----------------------|-----------------------------------|----------------------------------|----------------------------------| | GitHub Copilot | $10/mo | General coding assistance | Limited to specific IDEs | We use it for quick code snippets. | | Tabnine | Free + $12/mo Pro | AI code completion | Limited language support | Good for Java, but not as versatile. | | Codeium | Free | Open-source projects | Less refined suggestions | Great for budget-conscious devs. | | Kite | Free + $19.90/mo Pro | Python development | Limited to Python | We don’t use it since we focus on web. | | Sourcery | Free + $12/mo Pro | Python code reviews and refactoring| Focused only on Python | Helpful for improving existing code. | | Codex | $0-20/mo | Various languages | Requires more setup | We haven’t tried it yet. |

What We Actually Use

For our own projects, we primarily use GitHub Copilot for generating boilerplate code and speeding up development. It’s especially useful for small tasks, but we still rely on manual coding for more complex logic.

Conclusion: Start Here with GitHub Copilot

To get the most out of GitHub Copilot, follow the steps above to install and start using it. The time you save will allow you to focus on building and shipping your product. Remember, Copilot is a tool to assist your coding—not replace it.

If you find yourself stuck at any point, revisit the troubleshooting section, and don't hesitate to fine-tune your prompts to get better results.