[evilduck]

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.

[manmal]

You are describing the toy projects that had us all amazed end of last year. Large, maintainable software that can serve paying customers is in a completely different galaxy.

[skydhash]

> 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.

[megous]

Whether something is tedious depends on the person and situation. If you're already an expert, you may find a lot of work that goes into your 4th USB device (especially if it's based on yet another chip and bespoke SDK) quite tedious, since lot of it is based on standard requirements/designs that you can't change.

You may also find re-ing stuff not tedious, due to what may be motivating you.

In any case, any work will have some things you just know how to do, or what to do, but previously (before LLM agents) no easy way to plow through them without pressing a lot of keyboard keys over long period of time.

[ThrowawayR2]

There's rather a big difference between reverse engineering already working code and forward(?) engineering working code from nothing so that confidence seems misplaced.

[hjort-e]

I 100% agree it's coming for everything. I'm just curious what the arguments would be for why frontend would be easier.

[svachalek]

As a manager of a full stack team, we've found AI falls short a lot more on front end. It has its weak points on both front and back, but the problems with backend are quite easy to feed back into it -- needs more performance, needs to pass this security audit, needs to deal with xyz system. The problems with frontend are more like this is ugly, it's clunky to use, people don't like it. People without years of frontend experience tend to lack the vocabulary required to get AI to fix it, period, and it ends up going around in loops.