How to Set Up GitHub Copilot for Your First Project in Under 1 Hour

If you're a solo founder or indie hacker looking to speed up your coding process, GitHub Copilot can be a game changer. But getting started can feel daunting—especially if you’re new to AI coding tools. The good news? You can set up GitHub Copilot for your first project in under an hour. In this guide, I’ll walk you through the process step-by-step, sharing my personal experiences along the way.

Time Estimate: 1 Hour

You can finish this setup in about 45-60 minutes if you follow the steps closely.

Prerequisites

Before we dive in, make sure you have the following ready:

• A GitHub account (free tier works)
• Visual Studio Code (VS Code) installed on your machine
• Basic familiarity with coding (you don’t need to be a pro, but some understanding helps)

Step-by-Step Guide to Setting Up GitHub Copilot

Step 1: Install Visual Studio Code

1. Download VS Code: Go to the official site and download the installer for your operating system.
2. Install: Follow the prompts to install VS Code. It’s straightforward, just accept the defaults.

Step 2: Sign in to GitHub

1. Open VS Code: Launch the application.
2. Sign In: Click on the Accounts icon in the lower left corner and choose "Sign in with GitHub." Follow the prompts to authorize VS Code with your GitHub account.

Step 3: Install GitHub Copilot Extension

1. Go to Extensions: In VS Code, click on the Extensions icon (or press Ctrl+Shift+X).
2. Search for Copilot: In the search bar, type "GitHub Copilot."
3. Install: Click "Install" on the GitHub Copilot extension.

Step 4: Set Up Your First Project

1. Create a New Project: Open a new folder in VS Code (File > Open Folder) and create a new file (File > New File).
2. Start Coding: Begin typing your code. GitHub Copilot will suggest completions and snippets as you type. You can accept suggestions by pressing Tab.

Step 5: Test Copilot's Suggestions

1. Write a Function: For example, start typing a simple function like function add(a, b) {.
2. Observe Suggestions: Copilot will suggest a complete implementation. You can review and modify as needed.

Step 6: Experiment and Learn

1. Try Different Tasks: Experiment with different coding tasks to see how well Copilot assists you.
2. Review Suggestions: Not every suggestion will be perfect; use your judgment to pick the best ones.

Troubleshooting Common Issues

• Copilot Not Suggesting: If you don’t see suggestions, make sure you’re signed into GitHub and that the extension is enabled.
• Slow Performance: Sometimes, Copilot may lag. Ensure your internet connection is stable, as it relies on cloud processing.

What's Next?

Once you’re comfortable with Copilot, consider exploring more advanced features, like integrating it with other tools in your stack. You could also check out our podcast, Built This Week, where we discuss practical coding tools and share our building journey.

Conclusion: Start Here

To get started with GitHub Copilot, follow these steps and experiment with your first project. Remember, the key is to practice and adjust Copilot's suggestions based on your needs. In our experience, it’s a great tool that can significantly speed up your development process, especially for simple tasks.