Agree. It is just like 2 totally separate groups are arguing.

One very tiny slice of speciality/ rare industries where code is critical but overall small part of project costs. I can see if code / software is 5% of overall cost even heavy use of AI for code part is not moving the needle. So people in this group can feel confident in their indispensability.

Second group is much larger and peddling CRUD / JS Frontends and other copy/paste junk. But as per industry classification they are just part of same Coder/Developer/IT Engineer group. And their bleak prospects is not some future scenario, it is playing out right now with tons of them getting laid off. And whole lot of people with IT degrees, certifications are not finding any jobs in this field.

▲

marcindulak 39 minutes ago | parent | next [-]

After hearing various similarly sounding opinions about CRUD being easy for LLMs, I started tracking how well LLMs handle a standard CRUD Django app I'm familiar with at https://github.com/marcindulak/learning-api-styles-gen-ai-ex....

So far it appears that LLMs still require constant hand-holding, even for a small educational CRUD app.

▲

hjort-e 2 hours ago | parent | prev [-]

What makes you feel that a complex frontend would be easier for AI than a non-CRUD backend system?

▲

evilduck an hour ago | parent | next [-]

Hubris.

I don't mean this as a snarky jab. It's coming for anything software. I've used AI to accomplish front end development and reverse engineer proprietary USB hardware dongles in C, then rewriting the C into Rust to get easy desktop GUIs around it. Backend APIs, systems programming, embedded programming, they all seem equally threatened it's just a matter of time. Front end is easy to see in the AI web front ends but everything else is still easy pickings.

	▲	hjort-e 37 minutes ago \| parent \| next [-]
		I 100% agree it's coming for everything. I'm just curious what the arguments would be for why frontend would be easier.
	▲	skydhash an hour ago \| parent \| prev [-]
		> I've used AI to accomplish front end development and reverse engineer proprietary USB hardware dongles in C, then rewriting the C into Rust to get easy desktop GUIs around it. Backend That is not hard. It’s just tedious and very slow to do manually. The hard part would be about designing a usb dongle and ensuring that the associated software has good UX. The reason you don’t see kernel devs REing devices is not because it’s impossible or that it requires expert knowledge. It’s because it’s like counting sands on the beach.

▲

geodel an hour ago | parent | prev [-]

It is irrelevant that complex frontend would be easy for AI or not. To me 1) how many unique complex frontends are needed out of total frontends that millions of sites out there need. 2) Will there be increase in need of such frontend engineers so other displaced folks can land a job there.

I think it will be far fewer to have any positive impact on IT engineers' overall job prospects.

▲

hjort-e 41 minutes ago | parent [-]

But that's equally true for any type of system. Frontend isn't inherently easier than other systems, so i was just wondering why you singled it out. To me AI just seems better at backends and database design

▲

geodel 23 minutes ago | parent [-]

OK, my examples seemed like biased against frontend which was not the intention.

The thrust was overall job prospects for people in software field. It is not that frontend is easy but it is definitely easy to get into. Considering there are far more frontend developers then say C++ system engineers or database designers so in sheer numbers they will be affect more.

	▲	hjort-e 7 minutes ago \| parent [-]
		Ah okay that's fair. In my country boot camps aren't a thing so frontend devs are rare and good frontend devs even more, so I think it depends on where in the world you are. We got an abundance of java devs here that i fear more for