Why ChatGPT for Coding is Overrated: My Experience

As a solo founder and indie hacker, I’ve often turned to AI tools to help streamline my coding projects. ChatGPT, in particular, has been heralded as a coding assistant that can save time and enhance productivity. However, after spending significant time using it, I believe it’s overrated for actual coding tasks. Here’s why.

The Limitations of ChatGPT in Coding

It’s Great for Simple Tasks but Falls Short on Complexity

ChatGPT can handle basic coding queries and syntax issues, but when it comes to more complex problems—like integrating APIs or debugging intricate code—it often misses the mark. In my experience, I found myself spending more time correcting its suggestions than if I had just coded it myself.

• Best for: Quick syntax help, simple algorithms.
• Limitations: Struggles with context, especially in larger projects.

Pricing Considerations: Is It Worth It?

While ChatGPT offers a free tier, its Pro version costs $20/month. For that price, you might expect a more robust coding experience. However, I found that using it for coding tasks often didn’t justify the expense, especially when there are better alternatives available.

| Tool | Pricing | Best For | Limitations | Our Take | |---------------|-----------------------|------------------------------|----------------------------------|----------------------------------| | ChatGPT | Free / $20/mo Pro | Simple coding queries | Poor with complex tasks | Use sparingly for quick help | | GitHub Copilot| $10/mo | Code suggestions in IDEs | Limited to supported languages | We use it for in-IDE assistance | | Codeium | Free / $19.99/mo Pro | Code completion | Needs internet connection | Good for real-time coding help | | Tabnine | Free / $12/mo Pro | AI-driven code completion | Lacks context in large projects | We don’t use it because... | | Replit | Free / $20/mo Pro | Collaborative coding | Limited features in free tier | Great for team projects | | Sourcery | Free / $19/mo Pro | Code refactoring | Limited to Python | We don’t use this for JavaScript | | Codex | $0-20/mo | Code generation | Limited language support | We tried it, but not impressed | | Ponic | $5/mo | Quick code snippets | Not comprehensive | Use for very basic tasks | | Jupyter AI | Free / $25/mo Pro | Data science projects | Not ideal for web development | We don’t use this at all | | CodeGPT | Free / $15/mo Pro | Learning programming | Basic understanding only | We use this for educational purposes |

Better Alternatives Exist

After using ChatGPT, I explored alternatives that offer more robust coding support. For instance, GitHub Copilot, which integrates directly with your IDE, provides context-aware suggestions that are often more relevant to your project. It’s not perfect, but it’s a step up from what ChatGPT offers.

Learning Curve and Context Awareness

ChatGPT lacks the ability to maintain context over longer interactions. I often found myself having to re-explain my project or the specific problem I was facing, which wasted time. Tools like GitHub Copilot and Codeium are designed to learn from your coding style and project context, making them more efficient in the long run.

Collaboration and Community Support

While ChatGPT can provide answers, it lacks community-driven support. Platforms like Stack Overflow or even GitHub discussions have rich ecosystems where you can get nuanced answers and engage with other developers. This human element is crucial when troubleshooting or brainstorming solutions.

What We Actually Use

After extensive trial and error, here’s a summary of our real stack:

• GitHub Copilot: For in-IDE suggestions and coding assistance.
• Codeium: For real-time code completion during collaborative projects.
• Replit: For quick prototyping and team collaboration.

Conclusion: Start Here

If you’re looking for an AI coding assistant, I recommend starting with GitHub Copilot. It integrates seamlessly into your workflow and provides context-aware suggestions that save time and reduce frustration. ChatGPT might be useful for casual queries or as a supplementary tool, but for serious coding tasks, it’s time to look elsewhere.