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AI app builders currently struggle with processing limited context and handling real complexity, such as data relationships. Users need these tools to better understand how different pieces of an application should work together to build more robust applications.
Been playing around with Lovable, Launch, and other AI app builders lately. They're great for the first 30 minutes. You describe your idea, watch it come to life, and feel like a coding wizard. Then reality hits. These tools can only process a limited amount of context within their token limits. You get a beautiful landing page and possibly a dashboard, but the moment you need real complexity, such as data relationships, everything breaks down. The AI can't hold enough context to understand how all the pieces should work together. And here's the kicker - most of these platforms burn through your tokens fixing their own broken code. Why should I pay tokens for the AI to debug something it generated incorrectly in the first place? Here's what these platforms are actually good for: rapid prototyping and idea validation. Perfect for showing investors or testing concepts with users. But if you're trying to build something real, you'll need actual developers to architect the complexity underneath. The demo is not the product. What's your experience been with these AI coding tools? Launch - your app is too slow, even the page is not loading or responding many times.