How to Use GitHub Copilot to Increase Your Coding Speed by 50% in Just 30 Days

If you’re a solo founder or indie hacker, you know that every minute counts when coding your side project. Imagine if you could boost your coding speed by 50% in just 30 days. Sounds too good to be true, right? Well, with GitHub Copilot, it’s not only possible, but many developers are already experiencing this leap in productivity. In this guide, I’ll walk you through actionable steps to leverage GitHub Copilot effectively and share our real experience with it.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests whole lines or blocks of code as you type. It uses machine learning to understand the context of your code and provides suggestions based on that context.

• Pricing: $10/month per user or $100/year
• Best for: Developers looking to speed up coding tasks, especially in repetitive or boilerplate code.
• Limitations: It doesn't always produce error-free code and can struggle with complex logic.
• Our take: We use GitHub Copilot for rapid prototyping and to fill in repetitive tasks, but we still double-check the generated code.

Setting Up GitHub Copilot

Prerequisites

Before you dive in, ensure you have:

• A GitHub account
• Visual Studio Code (VS Code) installed
• GitHub Copilot extension installed in VS Code

Time Estimate

You can finish the setup in about 30 minutes, but the real learning curve happens over the next 30 days.

Step-by-Step Guide to Boosting Your Coding Speed

1. Start with Simple Tasks

In the first week, focus on simple tasks. Use Copilot to suggest code for basic functions, loops, or data structures.

Expected Output: You’ll notice that Copilot can often suggest whole functions just from comments or partial code.

2. Utilize Comments Effectively

By writing clear comments about what you want the code to do, you can guide Copilot to generate better suggestions.

Example:

// Function to calculate the factorial of a number

Expected Output: Copilot will likely generate a complete function for calculating factorials.

3. Experiment with Different Languages

Copilot supports multiple programming languages. Spend a week experimenting with it in languages you don’t usually code in, like Python or Ruby.

Expected Output: You’ll gain insights into different coding styles and approaches.

4. Review and Refactor

As you code, take time to review the suggestions and refactor when necessary. This practice will help you understand how Copilot thinks and improve your coding style.

5. Track Your Time

Use a simple timer or a tool like Toggl to track how much time you spend coding with and without Copilot. This will help you quantify your productivity gains.

6. Collaborate with Others

Pair programming with someone else using Copilot can uncover new ways of using the tool. Share insights and learn from each other’s experiences.

7. Reflect and Optimize

At the end of the month, reflect on your experience. Identify which tasks took less time and which suggestions were most helpful.

Troubleshooting Common Issues

• Inaccurate Suggestions: If Copilot suggests incorrect code, try rephrasing your comments or providing more context.
• Performance Issues: If you notice lag, check your internet connection or try restarting VS Code.

What’s Next?

Once you’ve optimized your use of GitHub Copilot, consider exploring other AI tools to further enhance your productivity. Tools like Tabnine or Kite can complement Copilot by providing additional suggestions and context-aware completions.

Conclusion

If you’re serious about increasing your coding speed, start using GitHub Copilot today. By following this 30-day plan, you can realistically boost your productivity by 50%. Just remember that while Copilot is a powerful assistant, it’s not infallible. Always review the code it generates to ensure quality.