How to Use GitHub Copilot to Boost Your Programming Speed in 30 Minutes

If you're a solo founder or indie hacker, you know that time is your most precious resource. Every minute you spend coding is a minute you can't spend on marketing, user feedback, or building your next feature. Enter GitHub Copilot: an AI-powered coding assistant that promises to accelerate your programming speed. But does it actually deliver? After testing it extensively, I can tell you it can be a game-changer if used correctly. Let’s dive into how you can get started with GitHub Copilot in just 30 minutes.

Prerequisites: What You Need to Get Started

Before we jump into the setup, make sure you have the following:

• GitHub account: You’ll need this to access Copilot.
• Visual Studio Code (VS Code): This is where Copilot integrates seamlessly.
• GitHub Copilot subscription: Pricing is $10/month or $100/year, with a free trial available.
• Basic knowledge of programming: Copilot is a tool, not a replacement for understanding code.

Step-by-Step Setup in 30 Minutes

Step 1: Install Visual Studio Code (5 minutes)

Download and install Visual Studio Code from the official site. It’s free and works on all major operating systems.

Step 2: Install the GitHub Copilot Extension (5 minutes)

1. Open VS Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side of the window.
3. Search for "GitHub Copilot" and click "Install".

Step 3: Sign In to GitHub (5 minutes)

1. After installation, you’ll be prompted to sign in to your GitHub account.
2. Authorize the Copilot extension to access your account.

Step 4: Start Coding (10 minutes)

Open a new file and start typing a comment describing what you want to code. For example:

// Create a function to calculate Fibonacci numbers

Copilot will suggest code completions. You can accept suggestions by hitting Tab.

Expected Output

By the end of this setup, you should have a working function for generating Fibonacci numbers, along with a few other snippets that Copilot offers as suggestions.

Troubleshooting: What Could Go Wrong

• No Suggestions: If Copilot isn’t suggesting code, ensure you’re logged in and that you have an active subscription.
• Inaccurate Code: Sometimes the suggestions may not be optimal. Always review and test the generated code.

What’s Next: Level Up Your Copilot Skills

Once you're comfortable with the basics, consider diving deeper into its advanced features:

• Custom Functions: Try using Copilot to generate more complex functions or entire classes.
• Learning from Suggestions: Analyze why Copilot suggests certain code to improve your coding skills.
• Integrating with Other Tools: Explore how Copilot can work alongside tools like GitHub Actions for CI/CD.

Conclusion: Start Here

GitHub Copilot can significantly speed up your coding if you take the time to set it up properly. In about 30 minutes, you can start leveraging its capabilities to reduce the time spent on boilerplate code and focus on what matters—building your product.

What We Actually Use

We primarily use GitHub Copilot for generating boilerplate code and functions. It’s particularly useful for repetitive tasks, but we still double-check the output for accuracy. If you need a coding assistant that learns from your style and helps you code faster, Copilot is worth the investment.