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

As indie hackers and solo founders, we’re always looking for ways to maximize our productivity, especially when it comes to coding. With the rise of AI coding tools, GitHub Copilot has emerged as a popular option. But can it really speed up your coding process by 50%? In this guide, I’ll share how to effectively use GitHub Copilot over the next 30 days, backed by our own experiences and honest assessments.

What is GitHub Copilot?

GitHub Copilot is an AI-powered code completion tool developed by GitHub and OpenAI. It uses machine learning to suggest code snippets, functions, and even entire classes based on the context of your current project.

Pricing Breakdown

• Free trial: 14 days
• Individual Plan: $10/mo
• Business Plan: $19/mo per user

Best For

• Developers looking to speed up routine coding tasks.

Limitations

• Can produce incorrect or insecure code, requiring careful review.
• Best suited for experienced developers who understand the context of code.

Our Take

We've been using GitHub Copilot for our projects at Ryz Labs, and while it does help with boilerplate code, you still have to be vigilant about the quality of the suggestions.

Setting Up GitHub Copilot

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

Prerequisites

• A GitHub account
• A code editor (Visual Studio Code is recommended)
• GitHub Copilot subscription

Step-by-Step Setup

1. Install Visual Studio Code: If you don’t have it yet, download and install VS Code.
2. Install GitHub Copilot Extension: Open VS Code, go to Extensions, and search for "GitHub Copilot". Click install.
3. Sign In: Once installed, sign in with your GitHub account.
4. Start Coding: Open a project and start coding. Copilot will suggest code snippets as you type.

Expected Outputs

• Code suggestions will appear inline as you type, significantly reducing the time spent on boilerplate code.

Daily Workflow with GitHub Copilot

To truly leverage GitHub Copilot, you need a structured daily workflow. Here’s how we recommend organizing your time:

Week 1: Familiarization

• Goal: Get comfortable with Copilot's suggestions.
• Action: Spend 1 hour daily coding with Copilot on small tasks or side projects.

Week 2: Integration

• Goal: Start integrating Copilot into larger projects.
• Action: Dedicate 2 hours per day focusing on specific features or functions.

Week 3: Review and Adjust

• Goal: Evaluate the quality of Copilot's suggestions.
• Action: Spend 30 minutes reviewing Copilot's output and refining your coding style.

Week 4: Optimization

• Goal: Achieve at least a 50% increase in coding speed.
• Action: Dedicate 3 hours daily to complex tasks, using Copilot to handle repetitive coding patterns.

What Could Go Wrong?

• Inaccurate Suggestions: Copilot may suggest code that doesn't fit your needs. Always review and test code thoroughly.
• Over-reliance: Don’t become too dependent on Copilot. It’s a tool to assist, not replace your coding skills.

What's Next?

After 30 days with GitHub Copilot, you should be able to code faster and more efficiently. Consider exploring other AI tools like Tabnine or Replit for additional functionalities.

What We Actually Use

While GitHub Copilot is our go-to for AI-assisted coding, we also utilize:

• Tabnine: For more intelligent code completions.
• Replit: For collaborative coding sessions.
• GitHub Actions: To automate workflows.

Conclusion

If you’re looking to speed up your coding by 50% in just 30 days, GitHub Copilot is a valuable tool worth trying. Start with the free trial, see how it fits into your workflow, and be sure to assess the suggestions critically.

For those serious about optimizing their coding efficiency, GitHub Copilot is a solid choice, especially when combined with a structured approach.