I have been explaining this to friends and family by comparing LLMs to actors. They deliver a performance in-character, and are only factual if it happens to make the performance better.
I'll steal that.
Readit Newslagrange77 commented on Some thoughts on LLMs and software development martinfowler.com/articles... · Posted by u/floverfelt
This is comparing two orthogonal properties.
SaaS is a business model while malleable vs. rigid is a property of the software itself.
lagrange77 commented on A guide to Gen AI / LLM vibecoding for expert programmers stochasticlifestyle.com/a... · Posted by u/ChrisRackauckas
But do those watches tell time better? or harder? or louder? Once you have the quartz crystal and have digital watches, mechanical movements became obsolete. Rolex and Patek Philippe are still around, but it's more of a curiosity than anything.
Absolutely agree. The watches do tell time better. But the factory worker does not become better at the craft of watchmaking or EE.
lagrange77 commented on A guide to Gen AI / LLM vibecoding for expert programmers stochasticlifestyle.com/a... · Posted by u/ChrisRackauckas
I think the idea that LLMs are just good at "automating" is the old curmudgeon idea that young people won't have.
I think the fundamental shift is something like having ancillary awareness of code at all but high capability to architect and drill down into product details. In other words, fresh-faced LLM programmers will come out the gate looking like really good product managers.
Similar to how C++ programmers looked down on web developers for not knowing all about malloc and pointers. Why dirty your mind with details that are abstracted away? Someone needs to know the underlying code at some point, but that may be reserved for the wizards making "core libraries" or something.
But the real advancement will be not being restricted by what used to be impossible. Why not a UI that is generated on the fly on every page load? Or why even have a webform that people have to fill out, just have the website ask users for the info it needs?
Yeah i agree with most of what you say.
> looking like really good product managers.
Exactly and that's a different field with a different skillset than developer/programmer.
And that's the purpose of technology in the first place tbh, to make the hard/tedious work easier.
lagrange77 commented on A guide to Gen AI / LLM vibecoding for expert programmers stochasticlifestyle.com/a... · Posted by u/ChrisRackauckas
As a tech lead I have reviewed code written by junior engineers and written by AI, and there is a very clear difference between the two.
You also seem to be missing the point that if vibe coding lets your engineers write 10x the amount of code they previously could in the same working hours, you now have to review 10x that amount.
It's easy to see how there is an instant bottleneck here...
Or maybe you're saying that the same amount of code is written when vibe-coding than when writing by hand, and if that's the case then obviously there's absolutely no reason to vibe-code.
You have forgotten the most important part: Lay off 90% of those devs.
lagrange77 commented on A guide to Gen AI / LLM vibecoding for expert programmers stochasticlifestyle.com/a... · Posted by u/ChrisRackauckas
New generations are always leapfrogging those that came before them, so I don't find it too hard to believe even under more pessimistic opinions of LLM usefulness.
They are young and inexperienced today, but won't stay that way for long. Learning new paradigms while your brain is still plastic is an advantage, and none of us can go back in time.
But automating isn't a programming paradigm.
> They are young and inexperienced today, but won't stay that way for long.
I doubt that. For me this is the real dilemma with a generation of LLM-native developers. Does a worker in a fully automated watch factory become better at the craft of watchmaking with time?
Is it my browser, or does the video in the readme not have sound?
lagrange77 commented on Dokploy is the sweet spot between PaaS and EC2 nikodunk.com/2025-06-10-d... · Posted by u/nikodunk
Does any of you use one of these (Dokploy, CapRover, Dokku, Coolify) like Netlify, as advertised by some?
For me, the core feature of Netlify is building and deploying static websites quickly, with minimal configuration and triggered by git commits.
Does any of these really resemble that experience (except for the CDN Netlify uses, of course)?
lagrange77 commented on Dokploy is the sweet spot between PaaS and EC2 nikodunk.com/2025-06-10-d... · Posted by u/nikodunk
https://docs.dokploy.com/docs/core/comparison
Dokploy vs. CapRover, Dokku, Coolify
But i think this 'being wrong' is kind of confusing when talking about LLMs (in contrast to systems/scientific modelling). In what they model (language), the current LLMs are really good and acurate, except for example the occasional chinese character in the middle of a sentence.
But what we mean by LLMs 'being wrong' most of the time is being factually wrong in answering a question, that is expressed as language. That's a layer on top of what the model is designed to model.
EDITS:
So saying 'the model is wrong' when it's factually wrong above the language level isn't fair.
I guess this is essentially the same thought as 'all they do is hallucinate'.