Generative AI reverts to the mean: Prose will be over explanatory and miss subtly that human expression normally hits. Same for software: LLMs have a natural tendency to modularize and sprout. You'll find yourself knee deep in enterprise fizz buzz hell [1]. If you're fine with a product that regresses to the mean, great, but what I find that isn't discussed here on hackernews is reason for being. By choosing to create you choose to exist. An LLM may very well be capable of generating _the mean_ of what you're trying to express, but without you consuming it, rewriting it, and ultimately learning it, your team and you are robbed of the ability to communicate and reason about a piece of crucial machinery.

So yes, fuck it, make it anyway, so that you can continue to exist and provide the communicative, engineering, and reasoning value that others still need from you.

[1] https://wiki.c2.com/?RavioliCode