Let me be clear first. I don't dislike LLMs, I query them, trigger agents to do stuff where I kind of know what the end goal is and to make analisys of small parts of an application.
That said, everytime I give it something a little more complex that do something in a single file script it fails me horribly. Either the code is really bad, or the approach is as bad a someone who doesn't really know what to do or it plains start doing things that I explicitly said not to do in the initial prompt.
I have sometimes asked my LLM fan's coworkers to come and help when that happens and they also are not able to "fix it", but somehow I am the one doing it wrong due "wrong prompt" or "lack of correct context".
I have created a lot of "Agents.md" files, drop files into the context window... Nothing.
When I need to do green field stuff, or PoCs it delivers fast, but then applying it to work inside an existent big application fails.
The only place where I feel as "productive" as I heard from other people is when I do stuff in languages or technologies I don't know at all, but then again, I also don't know if that functional code I get at the end is broken in things I am not aware of.
Are any of you guys really using LLMs to create full features in big enterprise apps?
