How to Use GitHub Copilot to Boost Your Workflow in 60 Minutes

If you’re a solo founder or indie hacker, you know that time is your most valuable resource. Enter GitHub Copilot: the AI-powered coding assistant that promises to supercharge your development workflow. But does it really deliver? In this guide, I'll walk you through using GitHub Copilot effectively in just 60 minutes.

What You Need Before Getting Started

Prerequisites

1. GitHub Account: Sign up for a free account if you don’t have one.
2. Visual Studio Code: Install the latest version of VS Code, as Copilot works as an extension here.
3. GitHub Copilot Subscription: At the time of writing, it costs $10/month for individual developers after a free trial.

Expected Time

You should be able to set everything up and start benefiting from GitHub Copilot in about 60 minutes.

Step 1: Install GitHub Copilot

1. Open Visual Studio Code: Launch the app.
2. Install the Extension:
   • Go to the Extensions view (Ctrl+Shift+X).
   • Search for "GitHub Copilot" and click "Install".
3. Sign In: After installation, you’ll need to sign in with your GitHub account to activate it.

Expected Output

You should see a Copilot icon in the bottom right corner of VS Code, indicating that it's ready to assist.

Step 2: Start Coding with Copilot

Write Comments for Suggestions

Start by typing a comment describing what you want to code. For example:

// Function to calculate the Fibonacci series

As you type, GitHub Copilot will suggest code snippets. You can accept a suggestion by pressing Tab.

Write Boilerplate Code

If you’re setting up a new project, you can ask Copilot to generate boilerplate code. For instance:

// Create a new Express server

This will save you time on setting up the basics.

Step 3: Refine and Iterate

Use Copilot to Generate Tests

Test-driven development (TDD) can be a slog, but with Copilot, you can quickly generate test cases:

// Test for Fibonacci function

Copilot will suggest relevant test cases, helping you ensure your code works as intended.

Expected Output

You should see a full set of test cases generated that you can modify as needed.

Step 4: Code Review and Feedback

Use Copilot for Code Review

As you write your code, you can ask Copilot to suggest optimizations or improvements:

// Optimize this function

This can help you catch inefficiencies early on.

Troubleshooting: What Could Go Wrong

1. Inaccurate Suggestions: Sometimes Copilot may suggest code that doesn’t fit your context. Always review suggested code critically.
2. Learning Curve: It might take a bit of time to get used to how Copilot interprets comments. Be patient and experiment with different prompts.

What’s Next?

Now that you've integrated GitHub Copilot into your workflow, consider exploring the following:

• Advanced Features: Look into Copilot Labs for experimental features.
• Collaboration: If you’re working with a team, explore how Copilot can assist in pair programming.

Conclusion: Start Here

If you're still skeptical about whether GitHub Copilot is worth it, I recommend giving the free trial a go. In our experience, it can cut down coding time significantly, especially for boilerplate tasks. However, remember that it’s not a replacement for solid coding skills; think of it as a powerful assistant.

Pricing Breakdown

| Feature | Pricing | Best For | Limitations | Our Take | |-----------------------|----------------------|----------------------------|--------------------------------------|----------------------------------| | GitHub Copilot | $10/mo, free trial | Developers looking for efficiency | May generate inaccurate code suggestions | We use it for boilerplate and testing code |

What We Actually Use

In our daily workflow, we rely on GitHub Copilot for rapid prototyping and generating test cases. It’s not perfect, but it saves us a lot of time.