How to Integrate GitHub Copilot in Your Workflow in 10 Minutes

If you're a solo founder or indie hacker, you know that time is money. The last thing you want to do is spend hours on coding tasks that could be automated. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster. But how do you actually integrate it into your existing workflow? Spoiler alert: it takes about 10 minutes.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have the following:

1. GitHub Account: You need an account to access GitHub Copilot.
2. Visual Studio Code (VS Code): This is the primary code editor that supports GitHub Copilot.
3. GitHub Copilot Subscription: Pricing is $10/month or $100/year. There's a free trial available for 30 days.

Step 1: Install Visual Studio Code

If you don’t already have VS Code, download and install it from here. It’s free and works on Windows, macOS, and Linux.

Expected Output:

You should have a fully functional VS Code environment ready for coding.

Step 2: Install the GitHub Copilot Extension

1. Open VS 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."
4. Click on the "Install" button.

Expected Output:

You’ll see a confirmation that GitHub Copilot has been installed.

Step 3: Sign In to GitHub

1. After installation, a prompt will appear asking you to sign in.
2. Click "Sign in" and follow the instructions to authorize your GitHub account.

Expected Output:

You'll receive a message confirming you're signed in, and Copilot should be active.

Step 4: Start Coding with Copilot

Now, create a new file or open an existing one. Start typing a function or comment about what you want to do, and Copilot will provide suggestions.

Example:

// Function to fetch data from an API
async function fetchData() {

Expected Output:

You should see Copilot suggesting code completions automatically.

Troubleshooting: What Could Go Wrong

• Copilot is not suggesting completions: Make sure you are signed in and that the extension is enabled in VS Code.
• Suggestions are not relevant: Copilot learns from the context. Ensure your comments or function names are descriptive.

What's Next: Making the Most of Copilot

Once you’re comfortable with the basics, consider exploring these advanced features:

• Code Review: Use Copilot to suggest improvements to existing code.
• Testing: Ask Copilot to generate unit tests for your functions.
• Learning: Use the tool to understand new libraries or frameworks by asking for code examples.

Conclusion: Start Here

Integrating GitHub Copilot into your workflow can significantly speed up your coding process. In about 10 minutes, you can set it up and start leveraging AI to handle repetitive tasks, allowing you to focus on building your product.

What We Actually Use

For our coding tasks, we rely heavily on GitHub Copilot for generating boilerplate code and quickly prototyping features. It’s been a game-changer for speeding up development, especially when juggling multiple projects.