How to Use GitHub Copilot to Increase Your Coding Speed by 50% in Just 1 Week

As a solo founder or indie hacker, every minute counts. You’re juggling multiple projects, and the last thing you want is to get bogged down in coding. Enter GitHub Copilot. This AI-powered coding assistant can help you write code faster and more efficiently. But can it really boost your coding speed by 50%? After a week of using it, I can confidently say it can—but only if you know how to leverage it effectively.

Prerequisites: What You'll Need

Before diving into this tutorial, make sure you have:

• A GitHub account (Free or Pro)
• An IDE that supports GitHub Copilot (like Visual Studio Code)
• Basic understanding of coding in your preferred programming language

Time Estimate: 1 Week Commitment

I recommend setting aside about 30 minutes each day for a week to practice with Copilot. By the end of the week, you should see a noticeable uptick in your coding speed.

Step-by-Step Guide to Using GitHub Copilot

Day 1: Setting Up GitHub Copilot

1. Install GitHub Copilot: Go to the Visual Studio Code marketplace and search for GitHub Copilot. Click "Install."
2. Sign In: Open VS Code and sign in with your GitHub account. Follow the prompts to authorize Copilot.
3. Explore the Interface: Familiarize yourself with how suggestions appear in your editor.

Day 2: Basic Code Suggestions

1. Start a New Project: Create a simple project, like a to-do app.
2. Write Comments: Begin by writing comments on what you want to achieve. For example, // Create a function to add a new task.
3. Accept Suggestions: As you type, Copilot will suggest code. Accept suggestions by pressing Tab.

Day 3: Advanced Features

1. Use Multi-Line Comments: Write more complex comments or descriptions, and see how Copilot responds.
2. Refactor Existing Code: Copy an existing function and ask Copilot to suggest improvements. For example, // Refactor this function to be more efficient.

Day 4: Testing and Debugging

1. Test Driven Development (TDD): Write tests for your functions as comments and let Copilot generate test cases.
2. Debugging: If you encounter an error, describe the issue in a comment. Copilot can often suggest fixes.

Day 5: Customizing Suggestions

1. Tailor Suggestions: Use specific keywords or phrases to guide Copilot's suggestions. For example, // Optimize this sorting algorithm.
2. Code Styles: Experiment with different coding styles. You might find that Copilot adapts to your preferred style over time.

Day 6: Collaboration

1. Pair Programming: If you have a coding buddy, use Copilot while pair programming. Discuss the suggestions it provides and refine them together.
2. Feedback Loop: Provide feedback to Copilot on its suggestions. The more you use it, the better its suggestions become.

Day 7: Review and Reflect

1. Compare Speed: Time yourself on a coding task you typically struggle with. Repeat it without Copilot and then with it.
2. Reflect: Take notes on what worked and what didn’t. Adjust your approach for the future.

Troubleshooting Common Issues

• Too Many Suggestions: If Copilot is overwhelming you with suggestions, try writing more detailed comments.
• Inaccurate Code: Always review generated code. Copilot isn’t perfect and can make mistakes.
• Integration Issues: If you encounter bugs, ensure your IDE is updated and Copilot is properly installed.

What’s Next?

Once you've gotten comfortable with GitHub Copilot, consider exploring other AI coding tools to complement it. Tools like Tabnine or Replit can also enhance your coding experience, especially if you work with multiple languages or frameworks.

Conclusion: Start Here

If you're ready to boost your coding speed, start by installing GitHub Copilot and following the 7-day plan outlined above. Don't expect miracles overnight, but with consistent practice, you'll likely see your efficiency soar.

What We Actually Use

For coding speed, GitHub Copilot is our go-to tool, but we also keep Tabnine in our toolkit for additional suggestions when working in different environments.