Why GitHub Copilot is Overrated: A Critical Look at AI Helpers

As a solo founder or indie hacker, you’re always on the lookout for tools that boost your productivity and streamline your workflow. When GitHub Copilot burst onto the scene, it promised to be the ultimate coding assistant. However, after a year of using it extensively, I can confidently say that it’s overrated. In this article, I’ll break down why Copilot might not be the magic bullet you hoped for, and I’ll compare it with other AI coding tools that might actually meet your needs better.

What GitHub Copilot Actually Does

GitHub Copilot is an AI-powered code completion tool that suggests entire lines or blocks of code based on the context you’re working in. It leverages OpenAI's Codex model to generate suggestions in real-time, aiming to make coding faster and easier.

• Pricing: $10/month per user or $100/year.
• Best for: Developers looking for quick suggestions while coding.
• Limitations: It often generates incorrect or insecure code and lacks understanding of project context.
• Our take: We’ve tried it for several side projects, but found ourselves spending more time correcting its suggestions than we saved.

Feature Comparison of AI Coding Tools

Let’s compare GitHub Copilot with other AI coding tools to see if there are better options out there.

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-----------------------|-----------------------------------|--------------------------------------------------|-----------------------------------| | GitHub Copilot | $10/mo | Quick code suggestions | Often incorrect, contextually unaware | Overrated for serious projects | | Tabnine | Free tier + $12/mo | Teams needing collaborative suggestions | Limited free version, less sophisticated AI | Good for collaborative environments | | Codeium | Free | Developers looking for free tools | Limited features compared to paid tools | Great for budget-conscious devs | | Replit Ghostwriter | $20/mo | Beginners and educators | Slower performance, less robust than Copilot | Good for learning, not production | | Sourcery | Free tier + $12/mo | Improving existing code quality | Focus on refactoring, not new code generation | Best for code quality improvements | | AI21 Studio | $29/mo | Generating complex code snippets | More suited for larger projects, not real-time | Powerful but costly for smaller apps | | Codex by OpenAI | Custom pricing | Tailored solutions | Requires integration work, not user-friendly | Good for custom needs, high effort | | Polycoder | Free | Experimental coding | Not production-ready, limited support | Fun to experiment with | | Ponic | $15/mo | Real-time collaboration | Lacks advanced AI capabilities | Good for teams, but limited scope | | IntelliCode | Free | Microsoft users | Only available in Visual Studio | Great for .NET developers |

The Misconceptions Around GitHub Copilot

One major misconception is that Copilot will replace the need for a deep understanding of programming languages. While it can generate code, it does so based on patterns it has learned from public repositories. This means it often lacks the nuanced understanding needed for unique problems.

Our Experience with Copilot

We initially adopted Copilot with high hopes, but quickly faced issues with incorrect suggestions. For example, it once suggested a complex regex pattern that was not only incorrect but also insecure. We spent more time debugging and rewriting than we would have without it.

The Tradeoffs of Using AI Coding Tools

While AI coding tools can save time, they come with tradeoffs. Here are some things to consider:

1. Learning Curve: Relying on AI can prevent you from truly understanding the code you’re working with.
2. Inaccuracy: Many AI tools, including Copilot, produce incorrect or insecure code.
3. Cost: Monthly fees can add up, especially if you’re using multiple tools.
4. Context Limitations: AI lacks the ability to fully grasp your project’s context, leading to irrelevant suggestions.

What We Actually Use

After trying out multiple AI coding tools, we’ve settled on a combination that serves us best. For quick suggestions, we use Tabnine due to its collaborative features and better accuracy. For code quality improvements, Sourcery has proven invaluable.

Final Thoughts: Start Here

If you’re considering GitHub Copilot, I’d recommend trying out the free tier of Tabnine and Sourcery first. They offer better value for the specific needs of indie hackers and solo founders. Remember, while AI tools can assist, they won’t replace the need for solid coding skills and understanding.