Ai Coding Tools

How to Use GitHub Copilot to Generate Code in Under 30 Minutes

By BTW Team4 min read

How to Use GitHub Copilot to Generate Code in Under 30 Minutes

In the fast-paced world of coding, every minute counts. As a solo founder or indie hacker, you might find yourself juggling numerous tasks, from product development to marketing. Enter GitHub Copilot—a tool that promises to speed up your coding process. But does it really deliver? In this guide, I’ll show you how to leverage GitHub Copilot to generate code in under 30 minutes, drawing from my experiences and sharing actionable steps.

Prerequisites: What You Need to Get Started

Before diving in, make sure you have the following:

  • GitHub Account: Free to create if you don’t have one already.
  • Visual Studio Code (VS Code): Download and install the latest version.
  • GitHub Copilot Subscription: $10/month or $100/year after a 30-day free trial.
  • Basic Understanding of Coding: Familiarity with at least one programming language (like JavaScript or Python).

Step 1: Setting Up GitHub Copilot in VS Code

  1. Install the GitHub Copilot Extension: Open VS Code, go to the Extensions Marketplace, and search for "GitHub Copilot". Click "Install".

  2. Sign In to GitHub: After installation, you’ll be prompted to sign in to your GitHub account. Follow the on-screen instructions to authorize the extension.

  3. Configure Settings: You can adjust settings like suggestion behavior and keybindings under the Copilot settings in VS Code to tailor it to your workflow.

Step 2: Generating Your First Code Snippet

  1. Open a New File: Create a new file in your preferred programming language.

  2. Start Typing a Comment: For example, type // Function to calculate factorial in JavaScript or # Function to calculate factorial in Python. This tells Copilot what you want to do.

  3. Accept Suggestions: As you type, Copilot will suggest code snippets. Use Tab to accept the suggestion, or continue typing to refine the output.

  4. Review and Edit: Always review the generated code. It’s not perfect, and you may need to tweak it to fit your specific requirements.

Step 3: Testing Your Code

  1. Run Your Code: Depending on your setup, you might use a terminal or an integrated terminal in VS Code to run your code.

  2. Debugging: If there are errors, use the terminal output to identify issues. Copilot can help with debugging too—just ask it to refactor or fix specific parts of your code.

  3. Iterate: Use Copilot to enhance or expand your code as needed. Just type comments or function names, and it’ll provide suggestions.

Troubleshooting Common Issues

  • No Suggestions?: Make sure you’re connected to the internet and that your GitHub Copilot subscription is active.
  • Irrelevant Suggestions: Sometimes Copilot can miss the mark. Try being more specific in your comments or prompts.
  • Performance Lag: If VS Code is slow, consider closing unnecessary extensions or restarting the IDE.

What's Next: Expanding Your Skills with Copilot

Once you’re comfortable generating basic code snippets, explore more advanced features:

  • Learn from Suggestions: Analyze how Copilot structures code and apply those patterns in your own work.
  • Integrate with Other Tools: Combine Copilot with testing frameworks or deployment tools to streamline your workflow further.
  • Explore Different Languages: While I primarily use it for JavaScript and Python, Copilot supports many languages—experiment with others to see how it can assist.

Conclusion: Start Here to Boost Your Coding Efficiency

Using GitHub Copilot can significantly reduce your coding time, and with practice, you can generate functional code in under 30 minutes. Just remember to review and refine the suggestions it gives you. If you're looking to enhance your coding productivity, I highly recommend giving GitHub Copilot a try.

What We Actually Use

For our projects, we’ve integrated GitHub Copilot into our daily workflow. It helps us prototype quickly and reduces the time spent on boilerplate code. We also combine it with tools like Postman for API testing and Figma for design mockups, which complements our development process.

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