How to Use GitHub Copilot to Automate Your Code Completion in 1 Hour

If you're a solo founder or indie hacker, you know that time is your most precious resource. Spending hours on code completion can feel like a black hole for productivity. Enter GitHub Copilot: an AI-powered code completion tool that can help you write code faster and more efficiently. In this guide, I'm going to walk you through how to set it up and maximize its potential in just one hour.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have the following:

• A GitHub Account (free tier available)
• Visual Studio Code (VS Code) installed on your machine
• Basic understanding of coding (you should know how to write some simple functions)
• GitHub Copilot subscription (free trial available for the first 30 days)

Step 1: Install GitHub Copilot

1. Open Visual Studio Code.
2. Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
3. Search for "GitHub Copilot" and click on the install button.
4. Once installed, sign in with your GitHub account and authorize Copilot.

Expected Output: You should see a small Copilot icon in the bottom right corner of your VS Code editor.

Step 2: Start Coding with Copilot

1. Open a new file in VS Code and start typing a function or a comment describing what you want to achieve.
2. As you type, GitHub Copilot will suggest code completions. You can accept a suggestion by pressing the "Tab" key.

Expected Output: Copilot will auto-generate code based on your input. For example, typing function add(a, b) might prompt it to suggest the complete function body.

Step 3: Fine-Tune Your Suggestions

1. If the first suggestion isn’t exactly what you want, you can cycle through multiple suggestions by pressing Ctrl + ] (Windows) or Cmd + ] (Mac).
2. You can also modify your comments or code to get different suggestions. Be explicit about what you want; for example, "Create a function that sorts an array."

Expected Output: You'll notice that more detailed comments lead to more relevant code suggestions.

Step 4: Integrate with Your Workflow

1. Use Copilot for repetitive tasks like boilerplate code or standard functions.
2. Combine it with other tools in your stack (like Prettier for code formatting) to streamline your workflow.

Expected Output: Your coding process should feel smoother, allowing you to focus on logic rather than syntax.

Troubleshooting: What Could Go Wrong

• Copilot isn't suggesting anything: Make sure you’re connected to the internet and that your subscription is active.
• Suggestions are irrelevant: Try being more descriptive in your comments or switch to a different file type (like .js, .py) to see if that improves suggestions.

What's Next: Level Up Your Skills

Once you've mastered the basics of GitHub Copilot, consider exploring its more advanced features, such as pair programming with Copilot or integrating it into larger projects. You can also check out our podcast "Built This Week" where we dive into real-world applications of AI tools like Copilot.

Pricing Breakdown

| Tier | Pricing | Best For | Limitations | |---------------------|---------------------|-------------------------------|--------------------------------------------------| | Free | $0 | Beginners | Limited to basic features, 30-day trial only. | | Individual | $10/month | Solo developers | No team features, limited to one user. | | Business | $19/month per user | Teams and organizations | Requires a minimum of 5 users, more expensive. |

Our Take on GitHub Copilot

We use GitHub Copilot for boilerplate code and repetitive functions. It saves us time, but we find that it sometimes generates code that isn't idiomatic or optimal. It's best not to rely on it as the sole source of truth.

Conclusion: Start Here

If you're looking to boost your coding efficiency, GitHub Copilot is worth trying out. Spend an hour setting it up, and you'll find yourself coding faster and more effectively. Just remember to keep its limitations in mind and verify the code it suggests.