Why GitHub Copilot is Overrated: Debunking 5 Common Myths

As indie hackers and solo founders, we often look for tools that can boost our productivity and streamline our workflows. GitHub Copilot has been touted as a must-have AI coding assistant, but in our experience, it's not all it's cracked up to be. Today, I want to debunk five common myths surrounding GitHub Copilot, revealing why it might be overrated for many builders like us.

Myth 1: GitHub Copilot Will Write Perfect Code for You

Reality Check: While GitHub Copilot can suggest code snippets, it doesn't guarantee perfection. We’ve tried using it for writing complex algorithms, and more often than not, we ended up with code that required significant tweaks.

• Best for: Simple, boilerplate code.
• Limitations: Struggles with nuanced logic and context-specific requirements.
• Our take: We use it for quick prototypes but double-check everything.

Myth 2: It's a Replacement for Learning to Code

Reality Check: Some believe that Copilot will make learning to code obsolete. However, relying too heavily on it can hinder your understanding of fundamental concepts. We’ve seen team members become overly dependent on its suggestions, which can stifle growth.

• Best for: Experienced developers looking for efficiency.
• Limitations: Not a substitute for foundational coding knowledge.
• Our take: We recommend using it as a supplementary tool, not a crutch.

Myth 3: Copilot Saves You Time

Reality Check: While Copilot can speed up specific tasks, it can also lead to longer debugging sessions. In our experience, we found that fixing the issues it introduced often took more time than writing the code ourselves from scratch.

• Best for: Rapid prototyping.
• Limitations: Time lost in debugging can outweigh the initial time savings.
• Our take: Use it when time is critical, but be prepared for potential setbacks.

Myth 4: It Works Seamlessly Across All Programming Languages

Reality Check: GitHub Copilot excels with popular languages like JavaScript and Python but falters with less common ones. We’ve tested it with Ruby and Go, and the suggestions were often irrelevant or incorrect.

• Best for: JavaScript, Python, and TypeScript.
• Limitations: Poor performance with niche languages.
• Our take: If you're working in a popular language, it might help, but don't expect it to be reliable for everything.

Myth 5: It's Affordable for Everyone

Reality Check: GitHub Copilot is priced at $10/month per user. While this may seem reasonable, for small teams or solo founders, it can add up quickly—especially if the value isn’t as high as expected.

• Best for: Teams with multiple developers.
• Limitations: Cost can be a barrier for solo founders or small projects.
• Our take: If you're a solo developer, consider whether it fits your budget and if the ROI justifies the expense.

Pricing Comparison Table

| Tool | Pricing | Best For | Limitations | Our Verdict | |-------------------|-----------------------|--------------------------------|--------------------------------------|-------------------------------------| | GitHub Copilot | $10/mo per user | JavaScript, Python developers | Limited language support, debugging | Use with caution for complex tasks | | Tabnine | Free tier + $12/mo | General coding assistance | Less context-aware than Copilot | Good for quick suggestions | | Codeium | Free | Beginners and learners | Limited advanced features | Great starting point | | Replit | Free tier + $20/mo | Collaborative coding | Slower for larger projects | Good for small teams | | Sourcery | Free tier + $15/mo | Python code improvement | Focused only on Python | Use for Python refactoring |

What We Actually Use

In our own stack, we primarily rely on Tabnine for general coding assistance and Replit for collaborative projects. Both tools provide a good balance of functionality and cost-effectiveness without the dependency pitfalls of GitHub Copilot.

Conclusion: Start Here

If you're considering GitHub Copilot, weigh its pros and cons carefully. It can be a useful tool in your arsenal, but it’s essential to recognize its limitations. For those just starting out or working on niche projects, it might be better to explore alternatives like Tabnine or Codeium.

Ultimately, choose tools that genuinely enhance your workflow without creating unnecessary dependencies.