How to Use GitHub Copilot to Increase Your Coding Speed by 30% in Just One Week

If you're a solo founder or indie hacker, you know that time is your most precious resource. You might be spending hours on coding tasks that could be done in a fraction of that time. Enter GitHub Copilot. This AI-powered coding assistant can help you increase your coding speed by up to 30% in just one week. Sounds like a bold claim, right? But I’m here to break down exactly how you can make it work for you.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code as you write. It integrates directly into your code editor, whether it’s Visual Studio Code, JetBrains, or others.

• Pricing: $10/month for individuals; $19/month for teams.
• Best for: Developers who want to speed up coding tasks and reduce boilerplate code.
• Limitations: It may suggest incorrect or insecure code, and it doesn’t always understand the context of your entire project.
• Our take: We use GitHub Copilot for repetitive tasks and boilerplate code, but we always double-check its suggestions.

Prerequisites

Before you get started, make sure you have:

1. A GitHub account (Free).
2. Visual Studio Code or another supported IDE.
3. GitHub Copilot installed as an extension.

Step-by-Step Guide to Using GitHub Copilot

Step 1: Install GitHub Copilot

1. Open Visual Studio Code.
2. Go to Extensions (Ctrl+Shift+X).
3. Search for "GitHub Copilot" and click "Install."
4. Sign in with your GitHub account and authorize the extension.

Step 2: Familiarize Yourself with Copilot

Spend a couple of hours just experimenting with GitHub Copilot. Write some basic functions and see how it suggests completions. You might find it helpful to:

• Write comments describing what you want the code to do. Copilot often generates better code when it has context.
• Start coding functions or classes, and watch how it fills in the gaps.

Step 3: Implement in Real Projects

Start using GitHub Copilot in a real project. Aim for small tasks initially, like creating utility functions or handling repetitive coding patterns.

Step 4: Review and Refine

As you code, take the time to review Copilot’s suggestions. This is crucial because while Copilot can save you time, it doesn’t always provide the best solution.

Step 5: Measure Your Speed

At the end of the week, compare the time you spent coding with and without GitHub Copilot. You should aim for a 30% increase in speed, which can be tracked using a simple timer or project management tool.

Troubleshooting Common Issues

• Suggestion Quality: If Copilot’s suggestions aren’t helpful, try refining your comments or code context.
• Integration Issues: Make sure your IDE is updated and that you’ve authorized Copilot correctly.
• Insecure Code: Always validate the generated code for security vulnerabilities.

What’s Next?

Once you’ve mastered GitHub Copilot, consider integrating it with other tools to further streamline your workflow. For example, you might explore:

• Pairing with CI/CD tools for automated testing.
• Using project management tools like Trello or Notion to track your progress.

Conclusion

Start with GitHub Copilot today. By following these steps, you can significantly improve your coding speed and efficiency in just one week. Remember, it’s not just about coding faster; it’s about coding smarter.

What We Actually Use

In our stack, we primarily use GitHub Copilot for quick prototypes and repetitive tasks. However, we also rely on manual coding for critical components where precision is key.