Building software for me has always been about creatin a set of concepts (data structures, basic behaviors) out of the primitives of the platform (language, libraries,…) and then coordinate their behavior according to the requirements.

Based on comments here, LLM users belong in two categories: Those that don’t understand the previous paragraph and those that believe they can get the concepts and coordination out of prompts and specs.

But for both of them, there’s a common trait, which is not caring about maintenance. And you can observe this today where most AI projects either don’t survive the public release or have to revert to more traditional methods.