How to Use GitHub Copilot to Improve Your Coding Workflow in 2 Hours

If you're a solo founder or indie hacker, you know how precious your time is. Every minute counts, especially when you're coding. Enter GitHub Copilot, an AI-powered coding assistant that can help you write code faster and with fewer errors. But how do you actually integrate it into your workflow? In this guide, I'll share how to set up GitHub Copilot in around two hours and maximize its potential to improve your coding workflow.

Prerequisites

Before diving in, make sure you have the following:

• GitHub Account: You need an account to access GitHub Copilot.
• Visual Studio Code: Copilot works as an extension in this popular code editor.
• Basic Coding Knowledge: Familiarity with the programming language you intend to use is essential.

Step-by-Step Setup

1. Install Visual Studio Code (30 minutes)

If you haven't already, download and install Visual Studio Code from the official site. It’s free and works on Windows, macOS, and Linux.

2. Sign Up for GitHub Copilot (15 minutes)

1. Go to the GitHub Copilot page.
2. Click on “Sign up for Copilot.”
3. Choose a subscription plan:
   • Free Trial: 30 days
   • $10/month: Individual plan after the trial
   • $19/month: Team plan for businesses

3. Install the GitHub Copilot Extension (15 minutes)

1. Open Visual Studio Code.
2. Click on the Extensions view icon in the Activity Bar on the side of the window.
3. Search for "GitHub Copilot" and click "Install."

4. Configure Your Settings (15 minutes)

• Go to the settings by clicking on the gear icon in the bottom left corner.
• Search for "Copilot" and adjust the settings to your liking, such as enabling or disabling inline suggestions.

5. Start Coding with Copilot (45 minutes)

Open a new file in your preferred programming language and start typing. Here’s what to expect:

• Code Suggestions: As you type, Copilot will suggest code snippets. You can accept suggestions by pressing Tab.
• Function Completion: Write a function name, and Copilot will attempt to complete the function based on the context.
• Code Comments: Write comments to describe what you want, and Copilot will generate the corresponding code.

6. Troubleshooting Common Issues (15 minutes)

• Suggestions Not Appearing: Ensure that you’re signed into GitHub in Visual Studio Code. Check your internet connection as Copilot requires it to fetch suggestions.
• Not Relevant Suggestions: Sometimes, Copilot may offer irrelevant suggestions. This can happen if the context is insufficient. Try to provide clearer comments or code context.

What's Next?

After you’ve set up Copilot, consider integrating it into your daily coding routine. Spend some time exploring its capabilities and limitations. As you get accustomed to its suggestions, you'll find ways to leverage it for repetitive tasks, boilerplate code, and even as a learning tool for new programming languages.

Limitations of GitHub Copilot

While GitHub Copilot is powerful, it’s not perfect. Here’s what to keep in mind:

• Not Always Accurate: Suggestions can be incorrect or inefficient. Always review the generated code.
• Limited Language Support: While it supports many languages, it may not be effective for niche or less popular languages.
• Dependency on Context: It relies heavily on context. If your code is poorly structured, the suggestions may not be helpful.

Conclusion

Getting started with GitHub Copilot is straightforward and can significantly enhance your coding workflow. In just two hours, you can set it up and start reaping the benefits. I recommend taking advantage of the free trial to see how it fits into your workflow before committing to a subscription.

What We Actually Use

In our experience, we primarily use GitHub Copilot for generating boilerplate code and completing functions. However, we always double-check the suggestions for accuracy. If you find Copilot isn't meeting your needs, consider exploring alternatives like Tabnine or Kite.