Why GitHub Copilot is Overrated: The Myths Explained

As a solo founder or indie hacker, you might have heard the buzz about GitHub Copilot. It's often portrayed as the ultimate coding assistant that can magically turn your ideas into functioning code with minimal effort. However, after extensive use and experimentation, I've come to believe that GitHub Copilot is overrated. In this article, I'll unpack the common myths surrounding it, backed by my own experiences and practical insights.

Myth 1: GitHub Copilot Can Write Code Better Than You

Reality Check: While Copilot can generate code snippets based on context, it doesn't understand the intricacies of your project. It often produces code that may work in theory but fails in practice due to a lack of understanding of your specific requirements.

Pricing Breakdown:

• Free tier: Limited access with basic features
• Pro: $10/month with more advanced capabilities

Best For: Quick prototype generation or basic coding tasks.

Limitations: Struggles with complex logic and understanding your unique coding style.

Our Take: We use Copilot for boilerplate code, but I wouldn't rely on it for anything critical.

Myth 2: GitHub Copilot Saves You Time

Reality Check: Sure, it can speed up repetitive tasks, but I've found that the time spent reviewing and correcting generated code often negates any time savings. You still need to ensure that the code aligns with your project’s goals.

Feature Comparison Table

| Feature | GitHub Copilot | Tabnine | Codeium | Sourcery | Replit | |-----------------------------|------------------------|------------------------|------------------------|-------------------------|------------------------| | Language Support | 12+ languages | 20+ languages | 12+ languages | Python-focused | 10+ languages | | Context Awareness | High | Medium | Medium | Low | Medium | | Integration | GitHub, VS Code | Multiple IDEs | VS Code, JetBrains | VS Code | Web-based | | Pricing | $10/month | $12/month | Free tier + $19/month | Free, $12/month for Pro | $0-20/month | | Best For | Quick snippets | Full code completions | Collaborative coding | Python refactoring | Learning and prototyping | | Limitations | Contextual errors | Less intuitive | Limited to collaborative | Limited language support | Limited features |

Our Take: For basic tasks, Copilot is useful, but for complex projects, Tabnine or Sourcery might save you more time in the long run.

Myth 3: GitHub Copilot is a Complete Replacement for Learning to Code

Reality Check: This one is a big misconception. Copilot can generate code but cannot teach you the fundamentals of programming. If you rely solely on it, you risk becoming dependent on it without understanding the underlying concepts.

Prerequisites for Effective Use:

• Basic understanding of programming languages
• Familiarity with your coding environment

What Could Go Wrong: If you don’t understand the code generated, you might introduce bugs that are hard to trace.

Myth 4: GitHub Copilot is Infinitely Scalable

Reality Check: While Copilot can handle many requests, it doesn't scale well for larger teams or complex projects. The generated code can become inconsistent, leading to integration issues.

Scaling Considerations:

• Works best for small teams or solo projects.
• Becomes cumbersome when managing multiple contributors.

Limitations: Copilot's suggestions can vary significantly, which can lead to a lack of cohesion in larger codebases.

Myth 5: GitHub Copilot is Always Accurate

Reality Check: Copilot can generate incorrect or outdated code. It's essential to validate its outputs, especially in production environments.

Common Errors to Watch For:

• Deprecated methods
• Security vulnerabilities
• Performance issues

Our Take: We often find ourselves double-checking Copilot's suggestions, which can be time-consuming.

Conclusion: Start Here

If you’re considering using GitHub Copilot, it's essential to temper your expectations. It can be a useful tool for certain tasks, but it shouldn’t be viewed as a magic solution. Instead, focus on using it for simple snippets while relying on your coding skills for more complex tasks.

For a more reliable coding assistant, consider alternatives like Tabnine or Sourcery, especially if you need more context-aware assistance or are working on a larger team.

What We Actually Use

In our stack, we primarily use Tabnine for its comprehensive language support and accuracy, especially for collaborative projects. We keep GitHub Copilot around for quick fixes and boilerplate code but don’t rely on it for critical development.