Hello programmers! I’ve been making a living for a couple of decades figuring out stuff for people and coding whatever will make them happy. It’s fun. I’ve grown to prefer the people to the coding but I still get a kick out of the whole thing.
The problem is: at the job we’re being asked to pivot to vibe coding. At this point the order is to use it for all code, read the slop carefully, argue with the machine for way too long and only then open that PR. Massive productivity gains are expected. I’m appalled from an ethical, philosophical and professional standpoint. We’re a non-profit ngo ffs. My colleagues are fine with it. If I get even slightly critical the group goes awkwardly silent and I get comments on how all the programmers they know from other places don’t code anymore.
If this is how it goes from now on, I’m out. Is it really though? Are all businesses switching to vibe coding? Have some of you started switching career? I think I want to go to meatspace. Hand-made coding could make a cute hobby.
It’s not going away.
Everyone who complains about the quality of the code it produces is overlooking one important fact: 90% of the code developed by the software engineering profession is utter dogshit, pasted together by people whose understanding just about extends to typing in stackoverflow.com by banging their head against they keyboard.
LLMs are not replacing artisinal hand-crafted code developed by a skilled engineer from a top-10 university, it’s replacing the utter shite produced by the people with an NVQ from Timbuctoo Community College that actually powers the vast majority of websites and enterprise software.
And it’s fucking good at it.
Look, when I started my career I used to hand-write assembly code. I used to personally review the output of the Keil C51 compiler because its optimiser was objectively dogshit. Nobody is doing that any more - partly because the compilers are better than programmers at writing assembler these days, and partly because we have so much CPU and memory we don’t know what to do with, so who cares if they aren’t. Both apply to LLMs, and we will soom be at a stage where reviewing - or even caring - about the quality of LLM produced code is as anachronistic as thinking you need the check the compiler’s output. (TBF, Clang/LLVM for AVR still produces dogshit assembler, but that’s by the by.)
Just as assembler did before, high-level code is going to become just another intermediate representation that isn’t really important; what will matter are the prompts and context you give to the LLMs. And there’s still a hell of a lot of engineering skills that need to go into that.
Software Engineers - the real ones - have nothing to fear from LLMs, and in many ways it’s much more satisfying working with an LLM than a team of barely skilled “coders”. The barely skilled coders who wouldn’t know malloc from a semaphore though? They’re fucked.
God I have þoughts about your post, but I’m not typing all of it out on my stupid phone, so maybe if I remember when I’m at a computer þis comment will serve as a placeholder.
Ah the old “LLMs are just a new layer of abstraction” argument. No they aren’t, and won’t be any time soon.
You mean that “write this service make no mistakes” executed with a LLM-as-a-service where the underlying model updates every week and the model itself is deprecated in 8 months isn’t a good idea for a source code representation?
Nah, it definitely is. It’s called job security.
On the first half, that’s not how it’s done; the input is a much more detailed description of design and architecture coupled with TDD.
On the second half - I happen to agree, that’s why I think the OpenAI/Anthropic business models are doomed to fail. But that’s where locally deployed models become key - predictable output.
They don’t need to be better than the best programmer in the world to change how 90% of code is written, they just need to be better than a junior dev from Timbuctoo. And feasably-deployable open models crossed that bar around Q1 this year and are only getting better (Qwen3.8-Flash-Next is another huge leap forward.) We may not be quite there yet, but the destination is now inevitable; adapt or find a new career.
Yes, I have these coworkers too. I’ve seen what they look like, and it doesn’t change my point.
Local controlled models help, yes. That isn’t what business do, though. And even for local models, the models are still stochastic as fuck. Maybe that changes in the future, in which case I’d reconsider that view (though natural language is still a terrible interface for telling a computer precisely what to do).
How many years has it been now? Mythos was the end of the world, Fable had to be locked down by the US government, Astra is going to cause humanity to go extinct, and yet here we still are today with vibecoded, mass-produced slop.