How to Use GitHub Copilot to Boost Your Coding Speed in 30 Days

If you're a solo founder or an indie hacker, you know that time is your most valuable resource. Every minute spent coding is a minute not spent on strategy, marketing, or user engagement. Enter GitHub Copilot—a powerful AI tool that promises to accelerate your coding speed. But can it really deliver? I've spent the last month testing it out, and I'm here to share how you can harness its power to boost your productivity in just 30 days.

What is GitHub Copilot?

GitHub Copilot is an AI pair programmer developed by GitHub and OpenAI. It suggests code snippets and entire functions as you type, learning from the context of your project. It's like having an experienced developer sitting next to you, ready to jump in with suggestions.

• Pricing: $10/month for individuals or $19/month for businesses.
• Best for: Developers looking to speed up their coding process or learn new coding techniques.
• Limitations: It can generate incorrect or insecure code, and it's not a substitute for understanding the underlying logic.

In our experience, using Copilot can significantly reduce the time spent on boilerplate code and repetitive tasks, but it requires a solid understanding of your codebase to make the best use of its suggestions.

Setting Up GitHub Copilot

Prerequisites

1. A GitHub account (Free, Pro: $4/month).
2. Visual Studio Code installed.
3. GitHub Copilot extension installed (Free trial available).

Expected Output

After installation, you can expect real-time code suggestions as you type, along with the ability to accept, reject, or modify those suggestions.

Week-by-Week Breakdown

Week 1: Basics and Familiarization

• Spend the first few days getting accustomed to Copilot.
• Try coding simple functions and note how Copilot suggests improvements.
• Output: A basic understanding of how the AI suggests code.

Week 2: Integrating Copilot into Your Workflow

• Start using Copilot for more complex functions and see how it handles context.
• Experiment with different programming languages (JavaScript, Python, etc.) to see its versatility.
• Output: A couple of completed features with Copilot's help.

Week 3: Specialization

• Use Copilot to generate tests for your code. This can save you time in writing unit tests.
• Explore its ability to suggest comments and documentation.
• Output: Well-documented code with tests generated.

Week 4: Optimization and Reflection

• Review your past month’s code and identify areas where Copilot excelled or missed the mark.
• Tweak your settings to improve suggestion accuracy.
• Output: A refined approach to using Copilot effectively.

Troubleshooting Common Issues

• Issue: Copilot suggests incorrect code.

  • Solution: Always review suggestions critically. Use Copilot as a guide, not a crutch.

• Issue: Copilot is slow to respond or doesn't provide suggestions.

  • Solution: Check your internet connection and ensure that your extension is updated.

Pricing Breakdown

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|-----------------------------|----------------------------------|----------------------------------|------------------------------| | GitHub Copilot | $10/mo | Fast coding, learning new syntax | May generate insecure code | Essential for speeding up dev | | Tabnine | Free tier + $12/mo PRO | AI-powered code completions | Limited language support | Good for additional AI help | | Kite | Free, Pro: $16.60/mo | Python developers | Focused on Python only | We don’t use this | | Sourcery | Free, Pro: $19/mo | Code reviews and suggestions | Limited to Python | Useful for code quality checks | | Codeium | Free | General code assistance | Less mature than Copilot | Worth trying for alternatives | | Codex | $0.01 per token | Large-scale projects | Can get expensive | Not ideal for small projects |

What We Actually Use

While we heavily rely on GitHub Copilot for everyday coding tasks, we also leverage Tabnine for additional AI-powered suggestions, especially in Python projects. It helps to have multiple tools that can complement each other.

Conclusion

To truly leverage GitHub Copilot and boost your coding speed, commit to a structured 30-day challenge. Start with the basics, integrate it into your workflow, and reflect on its impact. If you're serious about maximizing your productivity as a solo founder or indie hacker, GitHub Copilot is a tool worth investing in.

Start here: Sign up for GitHub Copilot today and begin your 30-day challenge. You might just find that you can ship features faster than you ever thought possible.