How to Set Up GitHub Copilot in 15 Minutes

If you’re a developer, you’ve probably heard the buzz about GitHub Copilot. It’s marketed as your AI pair programmer, but the real question is: can it actually improve your productivity? I was skeptical at first, but after setting it up, I found it does have its merits—provided you know how to harness it. In this guide, I’ll walk you through getting GitHub Copilot up and running in just 15 minutes.

What You Need Before You Start

Prerequisites

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

• A GitHub account (free or paid)
• Visual Studio Code (VS Code) installed on your machine
• An internet connection

Time Estimate

You can finish this setup in about 15 minutes—if you follow the steps closely.

Step-by-Step Setup Guide

1. Sign Up for GitHub Copilot

Go to the GitHub Copilot page and click “Sign up.” If you’re on a free account, you’ll get a trial period, but after that, it’s $10 per month.

2. Install the GitHub Copilot Extension

• Open Visual Studio Code.
• Navigate to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side.
• Search for "GitHub Copilot" and click “Install.”

Expected Output: The extension should now appear in your list of installed extensions.

3. Sign In to GitHub

After installation, you’ll need to authorize the extension:

• Click on the “Sign in” button that appears in the bottom right corner of the VS Code window.
• Follow the prompts to authenticate your GitHub account.

4. Enable GitHub Copilot

Once signed in, you might need to enable GitHub Copilot:

• Go to the Command Palette (Ctrl + Shift + P).
• Type “Copilot: Enable” and hit Enter.

Expected Output: You should see Copilot suggestions as you start typing code.

5. Customize Settings (Optional)

You can tweak settings to fit your workflow:

• Go to File → Preferences → Settings.
• Search for “Copilot” and adjust preferences like suggestion frequency and inline suggestions.

6. Test It Out

Create a new JavaScript or Python file and start typing a function. You should see Copilot’s suggestions pop up.

Troubleshooting Common Issues

• Not Seeing Suggestions: Make sure the extension is enabled and you’re signed in.
• Slow Suggestions: This can happen if your internet connection is unstable. Check your network.
• Limitations: Copilot may not understand complex context or specific libraries. It’s best for boilerplate and simple functions.

GitHub Copilot Pricing Breakdown

| Plan | Pricing | Best For | Limitations | Our Take | |--------------------|---------------|-------------------------------------|-------------------------------------|--------------------------------| | Free Trial | 0 | New users to test features | Limited time usage | Great for testing | | Individual Plan | $10/mo | Solo developers and side projects | No team features | Worth it for frequent coders | | Business Plan | $19/mo/user | Teams and organizations | Requires GitHub Enterprise account | Expensive for small teams |

What We Actually Use

While we’ve tried GitHub Copilot, we also keep an eye on alternatives like Tabnine and Codeium. Each has unique strengths:

• Tabnine: Great for JavaScript-heavy projects, starting at $12/mo.
• Codeium: Free and supports multiple languages, but lacks some advanced features.

Conclusion: Start Here

If you’re ready to boost your coding efficiency, setting up GitHub Copilot is a solid choice. Just keep in mind that it’s not a silver bullet; it’s most effective for routine tasks and can be a bit hit-or-miss with complex code.

So, grab your GitHub account, follow the steps above, and see how Copilot can fit into your workflow. Happy coding!