Why GitHub Copilot Is Overrated: 5 Things Most Users Get Wrong

As builders, we’re always on the lookout for tools that can make our lives easier. GitHub Copilot, an AI-powered coding assistant, has been touted as a game-changing tool for developers. However, after using it extensively, I've found it to be overrated in several ways. Here, I’ll share five common misconceptions about GitHub Copilot that many users get wrong, along with some practical insights.

1. Copilot Will Write Your Code for You

Reality Check: It’s a Helper, Not a Replacement

Many users think that GitHub Copilot can replace their coding skills, but that’s a dangerous misconception. Copilot generates code snippets based on context, but it doesn’t understand your entire project or the specific requirements you have.

Limitations: It often suggests code that is either incomplete or not optimized for your needs.

Our Take: We use Copilot for generating boilerplate code or simple functions, but we always double-check its suggestions. Don’t rely on it for complex logic.

2. It’s Always Accurate

Reality Check: Expect Inaccuracies and Bugs

While Copilot is impressive, it’s not infallible. It can generate incorrect code or even introduce bugs into your project. This is particularly true for less common programming patterns or languages.

Limitations: It struggles with niche frameworks or libraries that are not widely used.

Our Take: We’ve had instances where Copilot suggested a solution that seemed right but led to runtime errors. Always review generated code thoroughly.

3. It Speeds Up Development Significantly

Reality Check: The Reality Is Mixed

Many believe that Copilot will drastically cut down coding time. While it can speed up certain tasks, it can also slow you down if you spend too much time verifying and adjusting its suggestions.

Limitations: If you’re not careful, you might end up spending more time debugging Copilot’s output than you saved.

Our Take: We find that Copilot can speed up repetitive tasks, but for complex implementations, it’s often just as fast to code from scratch.

4. It Works Perfectly with All IDEs

Reality Check: Not All IDEs Are Created Equal

Copilot works seamlessly with Visual Studio Code, but if you’re using other IDEs like JetBrains or Sublime Text, you might not get the same experience. Features can be limited or non-existent.

Limitations: The integration may lack functionality or be buggy in non-VS Code environments.

Our Take: We primarily use Copilot in VS Code. If you’re on another platform, be prepared for a less optimal experience.

5. Copilot Is Cost-Effective

Reality Check: Pricing Can Add Up

GitHub Copilot has a subscription fee of $10 per month, which can add up over time. For indie hackers and solo founders, this might not seem like much, but it’s essential to consider the value you’re getting.

Limitations: If you’re not using Copilot regularly or effectively, that cost can feel wasteful.

Our Take: We’ve evaluated whether the cost is justified based on our usage. If you’re not coding daily, it might be worth exploring free alternatives.

Tool Comparison Table

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|---------------------------|--------------------------------|--------------------------------------|---------------------------------| | GitHub Copilot | $10/mo | Quick code suggestions | Inaccurate and context-limited | Use for boilerplate, not complex | | TabNine | Free tier + $12/mo pro | AI code completion | Less context-aware than Copilot | Good for general coding | | Kite | Free | Python development | Limited language support | Useful for Python, not others | | Sourcery | Free tier + $19/mo | Code review and improvement | Limited to Python | Great for Python code reviews | | Codeium | Free | Multi-language support | Still in beta, may have bugs | Good if you're trying new tools | | IntelliCode | Free | C# and .NET developers | Limited to Microsoft products | Solid choice for C# developers |

What We Actually Use

In our experience, we primarily use GitHub Copilot for generating boilerplate code. However, we also supplement it with TabNine for broader language support and Kite for Python projects. It’s crucial to find the right mix based on your specific use cases.

Conclusion

While GitHub Copilot has its merits, it’s important to approach it with realistic expectations. Use it as a tool to assist you, but don’t depend on it entirely. If you’re just starting with AI coding tools, consider trying out free alternatives before committing to a subscription.

Start here: If you’re interested in exploring AI coding tools, check out alternatives like TabNine or Kite, especially if you’re looking for something tailored to your specific language needs.