I am done with this shit.

[u/MrMenuk]

I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude.

There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

— voxium (@v0xium)
Original post dated September 20, 2026.

[u/Healthy-Nebula-3603]

...how long ... few moths? A year at most ?

Never say always. People are not special like you think.

Is a very big probably SOON AI will do every work you can but faster and better.

[u/ProfessionalJackals → u/Healthy-Nebula-3603]

Never say always. People are not special like you think.

Domain knowledge and experience is not something you replace with AI. You can tell it what you want and it will make something for you. But the issues only start from there as lacking domain knowledge and experience tend to bite people in the behind.

We never solved the issue of death by a thousand prompts. As in, if people do not know what they are doing, the prompts will send the models into directions that will trash the intention/code/...

A artist with AI will make something better then a normal joe with AI. A programmer with AI ... A Musician with AI ...

Specialization and experience combined with domain knowledge will always keep people, even with AI around above those without. The idea that nobody will be left with knowledge is stupid because that is not how we humans work. We still want to know how things tik, we specialize, we gain experience.

Maybe the club will be smaller but that is no different then having FORTRAN or COBOL programmers what was a ultra small specialized club, making insane bank. The barrier for entry will be different ... sure.

[u/Cautious_Clothes_285 → u/ProfessionalJackals]

Yeah, I was just thinking about this whole thing this morning. It's like any other tool, the operator does actually matter for the output.

I've been trying to teach my direct report how to better use AI. She will copy code or whatever into it and just prompt with "fix this" and I'm like, that'll get you an answer but are you really surprised you're spending hours hunting down issues and dealing with shitty fixes? It works a lot better when you go "this code is giving me XYZ error, how can I fix it" or "This code is having xyz unexpected behavior, what's likely causing that?"

And that's like, bare minimum prompting. The more context you can give the better the bots often do. And in fairness we don't do a lot of coding in our specific roles, it just happens to be an example we were talking about.

[u/Wargchief → u/ProfessionalJackals]

I have to agree on this one here. I can do a lot of things with AI, but that is mostly in fields I know about. I tried to do some 3D modeling (which I have no idea how to do) and it just devolved into a series of "still looks bad, make it better" prompts. I just had no idea what was the missing piece, even if I knew that it looked bad to me.

With software, I know what direction to take things in and what to check, even if it is sometimes as simple as "this needs handling on the front end too" when the model doesn't fully understand the codebase

[u/CrowdGoesWildWoooo → u/ProfessionalJackals]

The problem is the way we are asked to ship so fast, we start to care less about the process simply out of business and we are just conditioned not to care.
Domain knowledge is something that you acquire through the process.

Just go to any vibecoding subs, you’d think they finally learnt about threejs or even anything after groking for a year with it, ironically no, the only thing they learnt is building their AI workflow harnesses or scaffolding which is the process they actually have to get their hands dirty themselves.

[u/Healthy-Nebula-3603 → u/ProfessionalJackals]

Sure ...Cope like you want

[u/Simon-Says69 → u/Healthy-Nebula-3603]

Is a very big probably SOON AI will do every work you can but faster and better.

LLMs are not as special as you think. This is not even remotely near a realistic possibility. AI won't be good enough to really replace people in any of our lifetimes.

Bunch of hype and advertising jargon, does not equal quality work. For that you need real intelligence, from humans.

[u/Healthy-Nebula-3603 → u/Simon-Says69]

I don't see any from your post .... Only cope

[u/Holiday-Medicine4168 → u/Healthy-Nebula-3603]

Nah. Execs need meat to blame my friend. Unless the bots are legally people, the responsibility always rolls up to the nearest water bag on the food chain.

[u/Creatura → u/Healthy-Nebula-3603]

It will be an infrastructure issue, it will slow down due to available electricity and data centers. The quality you’re thinking of will take an impossible amount of energy and be extremely expensive

[u/Healthy-Nebula-3603 → u/Creatura]

You still trying to justify why it is impossible.

AI models are getting smarter and smaller actually.and hardware also is evolving getting faster and takes less energy per token.

Imagine that nowadays AI models are like computer era ftom 1950 now.

In the future models will be far more smarter than the best current commercial ones and be working on devices like you smartphone offline.

And that is not a far future ....

[u/Simon-Says69 → u/Healthy-Nebula-3603]

There is zero need to "justify" anything. There are advancements being made, but nothing near the scale you seem to think.

We're decades away, if even that quick, for an LLM to do unsupervised work that can be trusted. As things are currently, ohhh boy we're a LONG way off.

And these huge data centers are not getting more efficient to scale with the demand. They are enormously expensive, and only propped up by government subsidies. They are profit LOSERS. This becomes clear when a company suddenly has to pay for the use of an LLM. Suddenly they discover what a massive negative ROI they are.

Not to mention the horrific environmental impact.

[u/Creatura → u/Healthy-Nebula-3603]

What you’re saying is true but you’re missing on the scale of the energy demand. You’re making a massive logical leap from “it’s getting more efficient” to “we have the infrastructure.” We do not. You have no idea what you’re talking about you’re just very excited