Why GitHub Copilot is Overrated: My Experience

As a solo founder and indie hacker, I’ve often sought tools that promise to enhance productivity and streamline my workflow. One such tool that has garnered a lot of hype is GitHub Copilot. Touted as an AI-powered coding assistant, it’s designed to help developers write code faster and more efficiently. But after using it extensively, I’ve come to a different conclusion: GitHub Copilot is overrated. Let’s dive into my experience and break down why it didn’t live up to the expectations.

What GitHub Copilot Actually Does

GitHub Copilot is an AI pair programmer that suggests whole lines or blocks of code as you type. It integrates seamlessly with popular code editors, making it easy to use.

• Pricing: $10/month or $100/year after a free trial.
• Best for: Developers looking for code suggestions and autocompletion.
• Limitations: It can suggest incorrect code, lacks context awareness, and can lead to less learning for new developers.
• Our take: We initially used Copilot to speed up our coding, but found ourselves double-checking suggestions more often than not.

The Reality of AI Code Suggestions

1. Context Awareness is Limited

In my experience, Copilot often misses the context of the codebase. For example, it might suggest a function that doesn’t align with the existing architecture or coding standards. This has led to more time spent refactoring than if I had written the code myself from scratch.

2. Over-Reliance on Autocompletion

While it’s tempting to accept Copilot’s suggestions, doing so can create a dependency on the tool. I found myself accepting suggestions without fully understanding them, which isn’t ideal for building a strong coding foundation. If you’re a beginner, this can hinder your learning process.

3. Inconsistent Quality of Suggestions

The quality of code suggestions varies wildly. Sometimes, Copilot provides a brilliant solution, but other times, it suggests outdated or insecure practices. It’s essential to evaluate each suggestion critically, which can slow down your workflow rather than speed it up.

Tool Comparison: GitHub Copilot vs. Alternatives

Here's a quick comparison of GitHub Copilot against other coding assistants that I explored:

| Tool | Pricing | Best For | Limitations | Our Verdict | |----------------------|--------------------------|--------------------------------------|-----------------------------------------------|------------------------------------| | GitHub Copilot | $10/mo | Code suggestions | Limited context, inconsistent quality | Overrated, requires too much oversight | | Tabnine | Free tier + $12/mo pro | AI code completion | Less intuitive, fewer integrations | Better for quick completions | | Kite | Free + $19.90/mo | Python developers | Limited to Python, lacks advanced features | Good for Python, not versatile | | Sourcery | Free + $12/mo pro | Code review and improvement | Limited language support | Great for code quality improvements | | Codeium | Free | Multi-language support | Less mature, fewer features | Free and promising, but basic | | Replit | Free + $20/mo for pro | Collaborative coding | Performance issues for larger projects | Good for beginners, not for production |

What We Actually Use

After experimenting with GitHub Copilot and other tools, we’ve settled on using Tabnine for its balance of quality suggestions and context awareness. It’s not perfect, but it integrates well with our workflow and doesn’t lead to as much second-guessing.

Conclusion: Start Here

If you’re considering GitHub Copilot, I recommend you take a step back and evaluate what you truly need in a coding assistant. While it’s a powerful tool, its limitations in context awareness and suggestion quality can make it overrated for many developers. Instead, try exploring alternatives like Tabnine or Sourcery, which may provide more value without the drawbacks.

Remember, the best tool is one that enhances your coding experience without creating additional overhead.