Readit NewsOr if you go ping pong across containers to handle a single request. That will certainly make a laptop unable to handle this load.
Considering the content is essentially static, this is actually viable. Search functions might be a bit problematic, but that's a solvable problem.
Of course you pay with engineering skills and resources.
They did run out of human-authored training data (depending on who you ask), in 2024/2025. And they still improve.
But what asymptote are they approaching? Average code? Good code? Great code?
Managers are crossing their fingers that devs they hire are no worse than average, and average isn't very good.
> Managers are crossing their fingers that devs they hire are no worse than average, and average isn't very good.
The problem is that that's the same skill required to safely use AI tools. You need to essentially audit its output, ensure that you have a sensible and consistent design (either supplied as input or created by the AI itself), and 'refine' the prompts as needed.
AI does not make poor engineers produce better code. It does make poor engineers produce better-looking code, which is incredibly dangerous. But ultimately, considering the amount of code written by average engineers out there, it actually makes perfect sense for AI to be an average engineer — after all, that's the bulk of what it was trained on! Luckily, there's some selection effect there since good work propagates more, but that's a limited bias at best.
What if it makes me recoil in horror? screams into the void
In fact, LLMs will be better than humans in learning new frameworks. It could end up being the opposite that frameworks and libraries become more important with LLMs.
I don't see a base for that assumption. They're good at things like Django because there is a metric fuckton of existing open-source code out there that they can be trained on. They're already not great at less popular or even fringe frameworks and programming languages. What makes you think they'll be good at a new thing that there are almost no open resources for yet?
I guess you would need some sort of search term to document id mapping that gets downloaded to the browser but maybe there's something more efficient than trying to figure out what everyone might be searching for in advance?
And how would you do searching for phrases or substrings? I've no idea if that's doable without having a database server-side that has the whole document store to search through.
I did say you pay with engineering, didn't I? :)