How to Use GitHub Copilot to Increase Your Coding Speed by 50% in Just 2 Weeks

As indie hackers and solo founders, we often juggle multiple roles while trying to ship our side projects. One of the biggest bottlenecks can be coding speed. What if I told you that with GitHub Copilot, you could boost your coding speed by 50% in just two weeks? Sounds too good to be true? Let’s break it down.

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 the context of your current work, making it a powerful ally for developers looking to speed up their workflow.

Pricing:

• Free for individual use during the trial period
• $10/month for individuals
• $19/month for businesses

Best for: Developers looking to enhance productivity and reduce repetitive coding tasks.

Limitations: It can occasionally generate incorrect or inefficient code, so you still need to review what it suggests.

Our take: We’ve been using GitHub Copilot for our projects, and while it doesn’t replace the need for deep coding knowledge, it certainly speeds up the mundane parts of coding.

Setting Up GitHub Copilot

Time Estimate: You can finish the setup in about 30 minutes.

Prerequisites

• A GitHub account
• A code editor that supports GitHub Copilot (like Visual Studio Code)
• Basic knowledge of the programming language you are using

Step-by-Step Setup

1. Install the GitHub Copilot Extension

   • Open Visual Studio Code.
   • Go to Extensions and search for "GitHub Copilot".
   • Click "Install".

2. Sign in to GitHub

   • After installation, you’ll need to authenticate with your GitHub account.

3. Configure Settings

   • Go to settings and adjust Copilot preferences, like suggestion frequency and inline suggestions.

4. Start Coding

   • Open a new file and begin coding. As you type, Copilot will suggest code snippets.

Expected Outputs

You should start seeing suggestions pop up as you type. This will include function definitions, comments, and even complex algorithms.

Using GitHub Copilot Effectively

1. Embrace the Suggestions

Don’t hesitate to accept or modify the suggestions provided by Copilot. It’s not just about speed; it’s about increasing the quality of your code as well.

2. Use Comments to Guide Copilot

When you write a comment about what you want to achieve, Copilot can generate more relevant code. For example, typing // function to calculate Fibonacci will prompt Copilot to generate a Fibonacci function.

3. Test Your Code

Always run tests after accepting Copilot’s suggestions. This helps catch errors or inefficiencies early in the development process.

4. Iterate on Your Workflows

Over the two weeks, keep track of your coding speed before and after using Copilot. Adjust your workflows based on what works best for you.

5. Collaborate with Others

Share your Copilot-generated code with peers for feedback. This can help identify areas for improvement or potential issues.

Troubleshooting Common Issues

• Inaccurate Suggestions: If Copilot suggests code that doesn’t work, try rephrasing your comments or providing more context.
• Performance Lag: Sometimes, Copilot might slow down your editor. Ensure your system meets the necessary specifications and close any unnecessary applications.

What's Next?

After two weeks of using GitHub Copilot, you should see a significant increase in your coding speed. Consider integrating it into your daily coding practices and explore other AI coding tools to complement your workflow.

Conclusion: Start Here

If you’re an indie hacker looking to boost your coding speed, GitHub Copilot is worth trying. With its ability to learn from your coding style and provide relevant suggestions, you could easily see a 50% increase in productivity within two weeks. Start with the setup, follow the tips above, and track your progress.

What We Actually Use

In our experience, we rely heavily on GitHub Copilot for repetitive tasks, but we still prefer manual coding for complex algorithms to ensure accuracy.