How to Master GitHub Copilot in 3 Days: A Step-by-Step Guide

If you’re a solo founder or indie hacker, you know that time is your most precious resource. Enter GitHub Copilot, an AI-powered code completion tool designed to speed up your coding process. But how do you actually harness its full potential? In this guide, I’ll walk you through a practical, three-day plan to master GitHub Copilot, avoiding the fluff and focusing on what really works.

Prerequisites: What You Need to Get Started

Before diving in, here’s what you’ll need:

• GitHub Account: If you don’t have one, sign up for free at GitHub.
• Visual Studio Code (VS Code): Download and install this code editor if you haven't already.
• GitHub Copilot Subscription: It’s $10/month or $100/year; a small price to pay for a potential boost in productivity.

Day 1: Setting Up GitHub Copilot

Step 1: Install GitHub Copilot

1. Launch VS Code.
2. Go to the Extensions Marketplace (Ctrl+Shift+X).
3. Search for “GitHub Copilot” and click “Install.”
4. Sign in with your GitHub account to activate the extension.

Step 2: Familiarize Yourself with Basic Commands

GitHub Copilot suggests code as you type, but understanding some basic commands will help you get the most out of it. Here are a few to try:

• Start suggestion: Begin typing a function or a comment, and Copilot will suggest code.
• Accept suggestion: Hit Tab to accept a suggestion.
• Cycle through suggestions: Use Alt + [ or Alt + ] to navigate through different suggestions.

Expected Output

By the end of Day 1, you should have GitHub Copilot installed and be able to generate simple code snippets.

Day 2: Advanced Features and Personalization

Step 1: Explore Contextual Suggestions

On Day 2, focus on using GitHub Copilot’s contextual suggestions. Try coding a small project or feature that you’re working on. This is where Copilot shines.

1. Write a comment describing what you want to accomplish.
2. Let Copilot generate code based on your description.

Step 2: Customize Your Settings

Adjust the settings to better suit your coding style:

• Go to the settings (File > Preferences > Settings).
• Search for “Copilot” and tweak options like “Enable inline suggestions” or “Show suggestions while typing.”

Troubleshooting

If Copilot isn't suggesting relevant code, ensure that your comments are clear and descriptive. For example, instead of just writing // function to get user data, try // function to fetch user data from API and return as JSON.

Expected Output

By the end of Day 2, you should be able to generate more complex code and personalize your experience with GitHub Copilot.

Day 3: Integrating GitHub Copilot into Your Workflow

Step 1: Build a Mini Project

Now it’s time for the real test. Choose a small project or feature you want to build. Here’s what I suggest:

• Create a simple REST API using Node.js.
• Let Copilot assist you in writing routes, controllers, and models.

Step 2: Evaluate Your Workflow

1. As you code, note how Copilot helps you. Are there areas where it excels? Where does it fall short?
2. Document your experience to understand how to improve your workflow.

Expected Output

By the end of Day 3, you should have a mini project built with significant help from GitHub Copilot, and you’ll have a better understanding of how to integrate it into your daily coding tasks.

Conclusion: Start Here to Master GitHub Copilot

To truly master GitHub Copilot, follow this three-day plan. Focus on setting it up, exploring its features, and integrating it into your workflow. It’s not about relying solely on AI but enhancing your own coding abilities.

What We Actually Use

In our experience, GitHub Copilot is best for generating boilerplate code and suggesting algorithms. However, it’s not foolproof; it can produce incorrect suggestions, so always review the output. We use it primarily for frontend development projects but find it less effective for complex backend logic.

Now, go ahead and give it a try!