How to Use GitHub Copilot to Complete Projects 50% Faster

If you're like me—a solo founder juggling multiple side projects—you know that time is a precious commodity. Between writing code, debugging, and keeping up with the endless to-do list, it often feels like there aren't enough hours in the day. Enter GitHub Copilot, which promises to help you code faster and more efficiently. But does it really deliver? In this guide, I'll break down how to leverage GitHub Copilot effectively, share our experiences, and provide honest insights on its limitations.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you type. It learns from your coding style and the context of your project, aiming to boost your productivity significantly.

Pricing Breakdown

• Free: Limited usage with basic features.
• Individual Plan: $10/month for full access.
• Business Plan: $19/user/month with additional team collaboration features.

Best For

• Indie developers looking to speed up coding tasks.
• Teams needing to maintain coding consistency across projects.

Limitations

• It may suggest incorrect or inefficient code, requiring you to double-check its output.
• Not always compatible with less common programming languages.

Getting Started with GitHub Copilot

Time Estimate: 1 hour to set up and familiarize yourself.

Prerequisites

• A GitHub account.
• Visual Studio Code installed (or another supported IDE).
• GitHub Copilot extension installed in your IDE.

Step-by-Step Guide

1. Install the Extension:

   • Go to the Visual Studio Code Marketplace and search for GitHub Copilot.
   • Click "Install" and follow the prompts to authenticate with your GitHub account.

2. Open a Project:

   • Start a new project or open an existing one in your IDE.

3. Write Comments First:

   • Write comments describing the function or logic you want to implement. For example, // Function to calculate the Fibonacci sequence.
   • Copilot will suggest code based on your comments.

4. Accept or Modify Suggestions:

   • Use the Tab key to accept suggestions or Esc to ignore them.
   • If you’re not satisfied, you can cycle through alternate suggestions by pressing Ctrl + Enter.

5. Test and Validate:

   • After accepting suggestions, run your code to ensure it works as expected. Always validate Copilot's output.

Expected Outputs

• Code snippets that fulfill your requirements.
• Reduced time spent on boilerplate code.

Troubleshooting

What could go wrong:

• Incorrect code suggestions: Always review suggestions thoroughly.
• Integration issues with your IDE: Ensure your IDE is updated and compatible.

Solutions:

• If you encounter issues, check the GitHub Copilot documentation or forums for troubleshooting tips.

Tips for Maximizing Efficiency with GitHub Copilot

1. Pair Programming with AI:

   • Treat Copilot as a pair programmer. Discuss your approach out loud as if you’re explaining it to a person, and watch how it responds.

2. Use for Repetitive Tasks:

   • For tasks involving repetitive code patterns (like CRUD operations), Copilot can save a ton of time.

3. Learn from Suggestions:

   • Pay attention to the suggestions Copilot makes. It can be a great learning tool for best practices.

4. Iterate Quickly:

   • Use it to prototype quickly. You can iterate on your ideas faster and focus on the logic rather than the syntax.

5. Combine with Other Tools:

   • Pair Copilot with a linter or formatter to maintain code quality.

What We Actually Use

In our experience, GitHub Copilot shines during the initial stages of coding when you’re drafting functions and algorithms. However, we still rely on manual coding for critical parts of our projects to ensure quality and correctness. For ongoing projects, we find the combination of Copilot and a code review tool like SonarQube invaluable.

Conclusion: Start Here with GitHub Copilot

If you want to complete your coding projects 50% faster, start by integrating GitHub Copilot into your workflow. It’s not a silver bullet, but when used correctly, it can significantly boost your productivity. Just remember to review its suggestions critically and combine it with other best practices.