Why GitHub Copilot is Overrated: 5 Myths Busted

As a solo founder or indie hacker, you’re always on the lookout for tools that genuinely enhance productivity without breaking the bank. Enter GitHub Copilot, which many developers herald as the ultimate coding assistant. However, after using it extensively in our projects, I’m here to tell you that it’s overrated. In this post, we’ll bust five common myths surrounding GitHub Copilot and provide you with a clearer picture of its actual capabilities and limitations.

Myth 1: GitHub Copilot Can Write Code Perfectly

Reality: While Copilot can generate code snippets based on context, it’s not infallible. The generated code can be incorrect, inefficient, or even insecure. We’ve encountered issues where Copilot suggested outdated libraries or unsafe practices.

Our Take: We use Copilot for quick prototyping, but we always review and test the generated code thoroughly. It’s a tool, not a replacement for your judgment.

Myth 2: It Will Save You Tons of Time

Reality: The promise of massive time savings is enticing, but the reality is mixed. Initial setup and getting Copilot to understand your specific coding style can take time. Furthermore, the time spent reviewing and debugging its suggestions can offset any gains.

Pricing: GitHub Copilot costs $10/month or $100/year. If you’re working on a tight budget, consider whether those savings are worth it compared to the time spent fixing its mistakes.

Myth 3: It's a Replacement for Learning

Reality: Copilot can help you learn new languages or frameworks by providing suggestions, but it shouldn’t be your primary learning tool. Relying too heavily on it can hinder your understanding of fundamental concepts.

Limitation: If you’re a beginner, using Copilot without grasping the basics may lead to bad habits. It’s important to balance its use with traditional learning methods.

Myth 4: It Supports All Programming Languages Equally

Reality: GitHub Copilot performs better with popular languages like JavaScript, Python, and TypeScript, but it struggles with less common languages. For niche projects, you might find its suggestions lacking or irrelevant.

Best For: Copilot excels in full-stack JavaScript development, but if you're working with Rust or Haskell, you might want to look elsewhere for assistance.

Myth 5: It’s Always Up-to-Date

Reality: While Copilot is based on vast amounts of code, it doesn’t always reflect the latest best practices or libraries. We found instances where it suggested deprecated functions or libraries that have been replaced by better alternatives.

Our Experience: We’ve had to manually verify and update the code Copilot suggested, especially when working with fast-evolving tech stacks.

Comparison Table: GitHub Copilot vs. Alternatives

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|---------------------|-----------------------------------|----------------------------------|------------------------------------| | GitHub Copilot | $10/mo or $100/yr | JavaScript, Python development | Not great for niche languages | Good for prototyping, not for production | | TabNine | Free + $12/mo Pro | General coding assistance | Limited context understanding | Better for general use, less specific | | Codeium | Free | Quick code suggestions | Limited language support | Good for side projects, not robust | | Replit | Free + $20/mo Pro | Collaborative coding | Slower performance for large projects | Great for teams, not solo work | | Sourcery | Free + $12/mo Pro | Python code improvement | Limited to Python | Excellent for Python developers | | Kite | Free + $16.60/mo Pro| JavaScript, Python | Not as interactive | Good for individual developers |

What We Actually Use

In our experience, we find that combining tools yields the best results. We use GitHub Copilot for initial coding drafts, but we also rely on TabNine for a more comprehensive coding experience and Sourcery for Python projects. This blend allows us to leverage each tool’s strengths while mitigating their weaknesses.

Conclusion: Start Here

If you’re considering GitHub Copilot, be aware of its limitations. It’s not a magic solution but a tool that requires your oversight. Start by using it for quick prototypes, but always validate the code before deploying it. If Copilot doesn’t meet your needs, consider alternatives like TabNine or Sourcery based on your specific use case.