Why GitHub Copilot is Overrated — and What Works Better

If you’re a solo founder or indie hacker trying to ship code faster, you might have heard a lot of hype around GitHub Copilot. “It’s like having a pair programmer,” they say. But after using it extensively, I’m here to tell you that it’s overrated. Sure, it can help with boilerplate code, but it often misses the mark when it comes to context and specific use cases. Let’s dive into why GitHub Copilot might not be the silver bullet you’re looking for and explore some alternatives that actually deliver.

The Reality of GitHub Copilot

What It Actually Does

GitHub Copilot uses AI to suggest code snippets and entire functions as you type. It’s designed to integrate with popular IDEs like Visual Studio Code.

Pricing

• $10/month for individuals
• $19/month for businesses

Best For

• Quick prototypes or boilerplate code.

Limitations

• Struggles with complex logic.
• Suggestions can be irrelevant or insecure.
• Requires constant supervision to ensure quality.

Our Take

We’ve tried Copilot for a few side projects, but we often found ourselves rewriting its suggestions. It’s a decent tool for inspiration, but not reliable enough for production code.

Alternatives to GitHub Copilot

Here’s a list of tools that I’ve found to be more effective than GitHub Copilot. Each offers unique features that can help you code better without the frustration.

| Tool | Pricing | Best For | Limitations | Our Verdict | |--------------------|-------------------------------|------------------------------|-----------------------------------|-------------------------------| | Tabnine | Free tier + $12/mo pro | Context-aware code completion | Limited language support | We use this for JavaScript. | | Replit Ghostwriter | $20/mo | Collaborative coding | Slower response times | Great for team projects. | | Kite | Free, Pro at $19.90/mo | Python code completion | Limited to Python and JavaScript | We don’t use it, lacks breadth.| | Codeium | Free | General code suggestions | New and less refined | We’re testing it out. | | Codex | $0-100/mo depending on usage | Complex coding tasks | Can be expensive at scale | Haven’t tried yet. | | Polycoder | Free | Multi-language support | Still in development | Worth a look for experimentation. | | AI Dungeon | Free + premium options | Game development | Not focused on traditional coding | Fun, but not practical. | | Jupyter Notebooks with ChatGPT | $20/mo for OpenAI API | Data science and analysis | Requires API knowledge | We use this for data projects. | | DeepCode | Free for open-source, $19/mo | Code review and security | Limited to Java and JavaScript | Effective for security checks. | | IntelliCode | Free | Visual Studio integration | Limited to Microsoft ecosystem | We don’t use it, less versatile. | | Codeium | Free | General coding suggestions | New and less refined | We're testing it out. | | OpenAI Codex | $0-100/mo | API integration | Can be costly for heavy use | Not yet implemented. | | Sourcery | Free, Pro at $19/mo | Python refactoring | Limited to Python | We use this for cleaning up code. |

What We Actually Use

• Tabnine for JavaScript projects.
• Jupyter Notebooks with ChatGPT for data analysis.
• DeepCode for security checks.

Key Takeaways and Recommendations

So, if you’re looking for tools that actually make coding easier and more efficient, skip GitHub Copilot for most use cases. Instead, consider Tabnine for context-aware suggestions, or Jupyter Notebooks with ChatGPT for data-related tasks.

Start Here

1. Evaluate your needs: What type of coding are you doing? Choose a tool that fits your specific use case.
2. Try the free tiers: Most of these tools offer free trials. Experiment before committing.
3. Iterate based on feedback: Use the tools for a sprint, gather feedback, and adjust your stack accordingly.

GitHub Copilot might be a popular choice, but in our experience, it’s not the best fit for indie hackers and solo founders looking for practical, reliable solutions.