So im having a "issue" that might not be an issue? Ill explain.

Most of work is going full AI. We have around 20 developers. Its about 3/4 that are using AI to do ALL the work with Claude. Earlier in the year, everyone got a ton of AI credits and the amount of "Finished" products have popped out in mass. The amount of projects we have had is skyrocketing.

Now for the problem. Half the projects have terrible bugs. Pages that go no where, bugs that are VERY hard to find in the code (because its filled with code smells). And sometimes the site/program/etc... will just stop working for no reason because they decided to use some old version of react instead of anything modern. Because AI.

Even the ones that work will often be very difficult to debug if its just something the AI did or something the user did.

So a LOT of AI projects are getting abandoned...for more AI remake projects. I cant even call it iterations because no one learned anything making the last project.

Now once in a while I do use AI. It was part of my research back almost 20 years ago. But its mostly for one offs like creating a command line argument in python or give the the reference page for xyz feature. But I dont have it write the entire codebase for me. Seems like a recipe for disaster. And ive seen it bork a couple of peoples machines before.

I dunno am I the old man yells at clouds now?

I'm asking because inside a hashmap each element would have a signature, then it's easier to compare, no? #question

I’m using university journal portal OAI endpoints for the third time in a row to fix a typo and handle DOI lookups.

Does anyone know how disrespectful or intrusive this is considered to be?

A few years ago, I scraped arXiv and they blocked my IP almost immediately; perhaps if I had used arXiv’s OAI interface, they wouldn't have blocked me.

But I really have no idea just how disrespectful or intrusive this is!

I'm an experienced SSE and I'm about to hunt for a new job for the first time in a few years. I've so far been able to avoid most AI use, with the exception of testing out some code completion with copilot a couple years ago.

Basically every job listing I'm seeing expects some level of AI adoption ("we'll set you up with either Claude or Copilot, so much choice!") so I figured it's time.

What's the best way to get an intro to these tools? I'm curious how people are actually using them in their workflows successfully. I want to give it a fair shake and form my first-hand opinion on these things as tools.

EDIT: I'd also like to hear from those downvoting this post.

If sites already have title, meta name description, link rel me and all kinds of meta and link tags, there are tons of HTML tags that already do everything Schema does, it seems so redundant, so what is it really for and is it even worth wasting time putting in your site?

I work at a giant tech company. I'm in the upper levels (the CTO is my bosses boss).

I think our C-suite has truly lost its mind around AI. Last year I thought their delusions were just optics for the market. I thought they were hedging bets, playing the short game for their RSUs, and I forgave any low IQ moments and off key messages as being due to fear, caution, or divided attention from allowing AI grifters to infect their circle and feed them bad lines

But Iately I've been seeing stuff that's so catastrophically stupid, and all in, that I think they really have lost their minds.

I know how this works in big co systems of people. Their stupidity is amplified one thousandfold to lower levels like a game of crack the whip. I'm used to them firing leagues of people for no reason other than deciding contractors are good this month, no wait, now they are bad. And lately they've been so incredibly and almost unbelievably stupid. It will take a year for this to trickle down from the top to everyone, but this whole company has already started recentering and orbiting a new sun. This new sun has nothing to do with making money, making things people want to buy, or reality. Our whole center of gravity is moving to internal optics and politics around AI. I can already see pathological low skill people from long ago enshittified companies starting to win this new game.

AI is not going to kill this company. This company will kill itself because it has lost it's mind thinking it needs to be "AI-native."

Is this everywhere, or can I go somewhere that's still smart? Is this a temporary cycle, are people just freaking out because of WWIII?

Apologies if this isn't the right place to ask this, but I thought actual developers with a deep understanding of how technology actually works would be the people to ask!

If you were tasked with setting up a safe and secure way to do this, how would you do it differently than what the UK government is proposing? How could it be done such that I wouldn't have to worry about my privacy and the threat of government suppression? Is it even theoretically possible to accomplish such a task at such a scale?

Cheers!

EDIT: Just to be clear: I'm not in favour of age verification laws. But they're on their way regardless. My question is purely about the implementation and technology of the thing, rather than the ethics or efficacy of it. Can this seemingly-inevitable privacy hellscape be done in a non-hellscapish way?

Youtube would be a prime example: I'm guessing the storage required for the metadata of all videos is too large to be stored on a single server, so how do they achieve millisecond-level performance on searches and handle millions of queries routinely?

What kind of infrastructure and technology is required for this?

Do you have any resources I could use to learn more on this subject?

And how to do it? Looking for a tutorial.

I'm currently learning js as my first programming language. I want to learn DSA and leetcode for getting a job

I'm guessing that we'll see lots of news in 2026 about how companies are hiring developers to help improve the memory efficiency of their software because they just can't get enough servers. Also, the servers they do get will have reduced RAM compared to what they wanted.

I'm looking for a way to wrap up a cloudrun API that does an automated analysis behind a paywall, and I've never done any of this kind of billing etc.

Has anyone used Lago or do they have anything to say on what a good or recommended way to do this is? Ideally I want to be able to provide 'tiers' where a customer buys a minimum number of monthly calls to the API which are use it or lose it, and then they can surpass this number and are billed in addition. Lago seems like a good solution for this, but I'm wondering if there is a more straightforward, or more common way of doing this.

Thanks.