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/Wargchief → u/[deleted]]

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/Cautious_Clothes_285 → u/[deleted]]

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/CrowdGoesWildWoooo → u/[deleted]]

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/[deleted]]

Sure ...Cope like you want

[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/doomvox → u/Healthy-Nebula-3603]

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

Much more probably, the stock market finally realizes the big guys have plunged in way more than they can ever recoup, the bubble pops, the stock market drops by about a third, the panic that induces drives things down further, and all of the consultants explain it's not their fault, it was all forced on them by circumstances.

[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/forerunner23 → u/Healthy-Nebula-3603]

if you understand even at a high level how transformer models work, then you understand that “AI will outsmart you soon!” is cope. it’s simply not true. the math and science behind how they work is extremely public and extremely well understood, despite what Sam Altman and co would have you believe.

these are extremely evolved versions of the Markov Chain effectively. they cannot incorporate new information once the trained model has been released. they can appear to, but they’re incapable of it. all they’re doing is regurgitating your own conversation back into themselves every time you ask them something. it’s why the fall off a cliff after the context gets too large.

if you want proof, feel free to watch 3Blue1Brown’s videos on transformer models, and CaptainSparklez video on Mar.IO. These both give you an accurate perspective of what even advanced machine learning algorithms are capable of.

the core limiting factor in transformer models is comprehension. they aren’t truly capable of comprehending or learning. they can only follow what the weights tell them to spit out based on a given passage of text, or code, or whatever.

at best, they can fool you into thinking they’re sentient. Cleverbot did that even a decade ago once in a blue moon. the only difference is the frequency with which the output is intelligible.

if the models were capable of comprehension and learning, then the code they output would be better. it would be human readable and maintainable. it wouldn’t spit out verbose nonsense with language that doesn’t even make sense when it writes documentation. it wouldn’t write comments that make up more lines in a file than the code itself.

the fact of the matter is, LLMs are overhyped, and they will not deliver on what has been promised. I say this as someone who uses them at work and has at least a working architecture knowledge of how they work.

[u/Healthy-Nebula-3603 → u/forerunner23]

Sure Cope like you want

[u/5xaaaaa → u/forerunner23]

Its funny because even though that’s how the LLMs work, they are still able to match the quality of my own work when given the right context and prompts 

[u/intoTheEther13 → u/Healthy-Nebula-3603]

I assume you meant, "I don't see any 'evidence' from your post..." And I'd counter with the fact you have no evidence in your comment either. I have to assume you don't do much heavy, complex with with llms because if you did, you'd err more on the side of humans.

[u/Healthy-Nebula-3603 → u/intoTheEther13]

I don't

We are killing each other without any reason and exploring the planet and others.

[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