[mattbrewsbytes]

It won't.

What you've described is a bare bones CRUD app. The little I know about things like AI/LLM is you feed it text so it can learn. If the input is not good then the output is not going to be good either, doesn't matter what it does with the input.

We (as an industry) can't get feature requirements or business logic documented to be interpreted consistently by humans, who understand those problem domains in high fidelity, let alone some computers reading that text. If the translation of requirements to code isn't great, code to LLM to produce new code isn't going to cut it either.

Our industry jokes about all we do is CRUD apps but once an app is mature and beyond simple models, has integrations from a dozen APIs, has customers integrating via APIs, does reporting, needs to guarantee-ish transactions and most importantly is using derived sets of data for billing/invoicing it is much much more than a "CRUD app".

[MuffinFlavored]

> We (as an industry) can't get feature requirements or business logic documented to be interpreted consistently by humans, who understand those problem domains in high fidelity, let alone some computers reading that text. I

It would be pretty cool if LLM was able to be trained on your company's private code and then you were able to ask it "hey, we're thinking about making XYZ change with one of our vendors/components, what ramifications should we think of" and then it scans all of your code and tells you where stuff is touching it.

I can think of a ton of reasons why were years away from that/small simple breaking things that send the entire thing out the window, but I'd be surprised if we aren't marching towards some version of that next 5-10 years. Think of how many executives in companies will throw money at Microsoft if they promise (they can outright basically lie in the sales pitch and it doesn't even have to work cough Azure cough) it'll scan the entire company's code base and do advanced analytics on it.