I've been trying a few AI coding tools lately and one thing keeps bothering me. Every time I ask them to add authentication, payments, search, or some other common feature, they generate a brand new implementation from scratch. It works sometimes, but other times I end up spending hours debugging code that already exists in a thousand other projects. What I'd really like is something that can find reliable prebuilt modules, integrate them automatically, and then let AI handle the customization around them. Does anything like that exist, or is everybody still relying on AI-generated code for everything?

The from-scratch generation problem is basically baked into how most of these tools work, they're optimized to write code, not to find code that already exists. The smarter approach is getting something that treats proven implementations as building blocks first and only falls back to generating when there's genuinely no existing solution that fits. The debugging hours you're burning are almost always on edge cases that have already been solved in battle-tested modules that nobody thought to point the AI toward.

Most developers are still just throwing prompts at code generators and hoping for the best, which is exactly why you keep ending up in debugging hell. There are tools now that work from reusable AI code blocks instead, take a look here: https://tetrees.ai/?utm_source=upv . It pulls from existing reliable implementations for the common stuff like auth and payments and then lets the AI work around those rather than reinventing everything from zero each time.