How to Use GitHub Copilot to Improve Your Coding Efficiency in 60 Minutes

If you're like many developers, you often find yourself wrestling with the mundane aspects of coding—boilerplate code, repetitive functions, and debugging. While coding is rewarding, it can also be time-consuming. This is where GitHub Copilot comes in. This AI-powered coding assistant can help you code faster and more efficiently. In this guide, I'll show you how to set up and use GitHub Copilot to improve your coding efficiency in just 60 minutes.

Prerequisites

Before diving in, make sure you have the following set up:

• A GitHub account (Free)
• Visual Studio Code (Free)
• GitHub Copilot subscription ($10/mo or $100/yr)

Step 1: Setting Up GitHub Copilot (15 minutes)

1. Sign Up for GitHub Copilot: Go to the GitHub Copilot page and sign up. If you already have a GitHub account, this will only take a few minutes.

2. Install the GitHub Copilot Extension:

   • Open Visual Studio Code.
   • Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side or pressing Ctrl+Shift+X.
   • Search for "GitHub Copilot" and install the extension.

3. Log In: After installation, you'll need to log into your GitHub account from Visual Studio Code to activate the extension. Follow the prompts to authenticate.

Expected Output

Once you've completed these steps, you should see a small Copilot icon in the bottom right corner of your Visual Studio Code window, indicating that the tool is ready to assist you.

Step 2: Basic Usage of GitHub Copilot (15 minutes)

1. Start a New Project: Create a new JavaScript or Python file to test Copilot's capabilities.

2. Write a Comment: Start by typing a comment that describes the function you want to create. For example:

   // Function to calculate the factorial of a number
   

3. Accept Suggestions: After you write the comment, Copilot will automatically suggest code. Press Tab to accept the suggestion or Esc to see alternative options.

Expected Output

You should see Copilot generate a function that calculates the factorial based on your comment. This can save you from writing boilerplate code.

Step 3: Advanced Features (15 minutes)

1. Use Contextual Suggestions: As you write code, Copilot can suggest entire lines or blocks of code based on your current context. For example, if you're writing a loop, start typing it, and Copilot will suggest the rest.

2. Refactor Existing Code: Highlight a section of your code and type a comment like // Refactor this to be more efficient. Copilot will provide suggestions to improve it.

3. Test Your Code: Write a test case for the function you created, and see how Copilot helps you write the test code.

Expected Output

You should be able to see Copilot not only suggesting code but also refactoring and improving your existing code with minimal effort.

Step 4: Troubleshooting Common Issues (10 minutes)

• No Suggestions: If Copilot isn’t suggesting anything, check if you are connected to the internet and logged into your GitHub account.
• Irrelevant Suggestions: Sometimes, Copilot might generate suggestions that don't quite fit. Don’t hesitate to modify the output or provide more context in your comments.

What Could Go Wrong

If you find that Copilot is generating incorrect code, it may be due to ambiguous comments or context. Always review the code it suggests before using it in production.

What's Next

Now that you’ve set up and started using GitHub Copilot, consider exploring these additional features:

• Pair Programming: Use Copilot as a pair programming partner to brainstorm solutions to complex problems.
• Explore Other AI Tools: Consider integrating other tools like Tabnine or Kite for additional AI coding assistance.

Conclusion

In just 60 minutes, you can significantly boost your coding efficiency with GitHub Copilot. Start with setting it up, practice writing comments to guide its suggestions, and troubleshoot any issues you encounter. The key is to integrate Copilot into your daily workflow so that it becomes a natural part of your coding process.

What We Actually Use

At Built This Week, we use GitHub Copilot alongside other coding tools like VS Code and Postman for API testing. While Copilot isn’t perfect, it helps us code faster, and we find it particularly useful for prototyping new features.