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Yeah for me figuring out _what_ to build and estimating it are the biggest problems day to day

I’ve found that as well

It’s a good idea to take some time to understand how the official language docs are organized so that you can just jump there straight away and bypass all the noise


I’ve noticed that as well with README’s

Sometimes you come upon a library and it tells you what it does but there is no explanation or context on why you would want to use it


That is an interesting idea, like a universal bug tracker

If you could report a bug on any product/project and it’s up to the users to open/verify/close it

Could put pressure on companies to improve quality since the number of bugs is public


I've been writing some software that does this actually. I have like 3 serious parallel side projects going though plus my day job.

I tried knocking on my wall 100,000 times and it did indeed cause a disturbance in the neighbouring cell of my apartment

Turns out this whole virtualized house abstraction is a sham


Thanks for the sensible chuckle.

That does not follow

It’s possible to apply systems, frameworks, or categorizations that are actually wrong or overstated


I find it entertaining and view it more as a writing device

The author obviously adds some exaggeration to get the point across

I don’t think they actually think everyone does this


The phrase “outdated tech stack from 2022” is kind of hilarious

Out of date after only 3 years?


As one using tech mostly laid down in the last millennium, I also smiled at this.

But I think what the poster meant was that the AI is not always "up to date". So if my C compiler is a 2025 version, and my code makes use of features added since 2022, then the AI can "retrogress" the code simply because it isn't aware of the new.

Or another example, imagine when JavaScript Promises were new. There's a lot more examples of "not using promises" than "using promises ". So the AI us likely to use the old pattern.

If you're doing "up to the minute " code because you put the effort in to keep abreast of new stuff, then this retrograde will seem, well, frustrating.


This is exactly it. One of the guys we interviewed failed because he used AI. The AI gave him a stack which made it difficult to complete the task in the given time.

Well, that was the story anyway. Some team members were already using AI for production code and pointed out that if he had knowledge of the good stack, he would have just asked AI to build the good stack instead of relying on it to build the whatever stack.

For context, the senior interviews we give don't force tool or stack. They're problems we have trouble with. The aim is to find someone smarter than us who brings in a new tool or stack which solves this problem better. If we wanted to test promises skill, we'd give a complex async problem, like getting them to clone the box in Facebook with emoji count and stuff.


A "generation" is roughly 5 years on front end in my experience. Measured by say, the time when people make fun of jQuery when they can use vanilla JS to the point where people make fun on jQuery as an 'outdated' stack.

Mobile is shorter, because it's highly centralized around Apple and Google who can declare something obsolete. It's not simply opinion; I literally got an email saying that I had to meet the target API level requirements by 31 Aug for an app that was at the latest one less than a year ago.

A 'generation' in AI is 1-2 years now - GPT-4o was state of the art in May 2024, now deprecated.

I can't tell if the models being up to date make other stacks faster or slower.


Outdated libraries are a big problem. Sometimes stuff depreciated 10 years ago! It's the cargo cult problem.


3d graphics programming


I can definitely see this being used for lower end advertising

I’ve noticed ads with AI voices already, but having it lip synced with someone talking in a video really sells it more


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