I've never been forced into using a specific IDE. Has that been common for you? Also, the idea here is to get some experience before the job.

from my experience they are usually integrated into the ide the business uses.

Think otherwise what?

Seriously if you want to learn GenAI (or AI) workflows, start using them yourself in your personal life.

I don't know what they are, what's good, maybe better options for privacy, etc. I've got virtually no exposure to it in the last 2 years, so I'm trying to figure out where to start from people that use it in their jobs.

There was a question in this community that might get you to think otherwise "Has your company lost its mind with AI, too?" (non-Cloudflare link at https://suppo.fi/post/11441199).

Seriously if you want to learn GenAI (or AI) workflows, start using them yourself in your personal life. That way you can honestly try it out and maybe even create something. If you do follow a tutorial, don't create and publish exactly what they do (as everyone else has done that).

It seems to be equivalent in France. Instead of requiring Java as a language, a job offer would say "Mandatory: Java 14.5 with Spring 2.3 and Angular 5.4" and if you don't fit, you can go fuck yourself.

I'm in the process of being hired (hopefully) by a company that doesn't use AI, and I consider myself lucky.

Just a grunt, but the crunch time and higher expectations due to AI usage are insane. AI at its best is just a good autocomplete.

I sometimes marvel at why I haven't gotten AI psychosis yet

It essentially lets search engines extract richer data from the page.

It's usefulness demands entirely on the proper of the page.

If that's important to you, add it. If not, didn't bother, you're not going to compromise the direct usefulness of the page to humans by omitting it.

If you go look at the EUDI github there's a mention of "issuer visibility" in the overview and a red cross as the current status of it. Someone asked in an issue how this should be interpreted, and the official response was along the lines of "not implemented yet /not currently prioritized". So it's in the pipeline... so I would assume that anything you do connected to the EUDI will have zero privacy vs the government. Prnhub won't know who you are, but the government will know that you use prnhub.

Enterprise agreements using Copilot have "your data doesn't leave our cloud, and we won't train on your data" clauses. Even if you are just a M365 customer using the free tier of copilot you have enterprise data protection.

If you don't believe them on that clause they were probably already storing that data on one of the cloud providers anyways, so Microsoft would have already had full access to that data right at the database instead of some snippets of prompted context.

Well, some have started succumbing to a form of psychosis, so probably not doing great!

I am not sure even your "non average" person is excited about LLMs or AI.

Like, I run things locally some and use Claude Code, but if all AI disappeared tomorrow I would just shrug and be irritated that I have to use Stack Overflow again because SO sucks fucking ass.

I'm lower level(sysadmin) but our devs use "AI", but it's more of algorithmic pattern matching with specific data sets we have.

We don't have a use case for it primarily.

I use it to get a rough outline for bash, python, and ansible scripts for automation. Still lots of refining and fitting things into our environment, but it's helped me tremendously get a jump start with a draft. It's like I get writer's block lol.

I get the strong feeling we are working for the same company. Quick question did it previously had strong focus on metaverse and blockchain and cloud when each of those things were currently in fashion.

Allstate is now going use Copilot. Which means Microsoft AI gets access to all Allstate customers information.

Run before the cash burn finishes and it explodes in an AI supernova.

It blows my mind how many of the dress-up for meetings crew can't see how bad and like unprofessional ai generated content looks

It means prompts are triggered by events like crons or webhooks, and using text files to keep models from losing "context" 🙄

Been seeing "AI-native" too, and I work at a university. I forgive them for following the money, but me and the other techs have to constantly remind leadership that the average person is not excited about LLMs. And that going all-in could do reputational and credibility damage to the institution we currently work at.

I work for a small ~30-person company with various customers, including some very big names. We're very deliberate about where tools like those could help us, where it's worth the exploration and investment. We want to be innovative and have the expertise, but at the same time, be reasonable and sound. We're also very conscious of data sharing and safeguards, in part out of necessity, because we can't just share our customers' code or data with third parties.

Excitement, commitment, use, and hopes of using AI tools differ between colleagues. What we can use and how differs between projects.

So yes, there are definitely other kinds of companies and environments out there.

I work for a financial company where our largest clients look to us for fiscally conservative actions. Thankfully, that trickles down to create an IT division that is aware of current trends, but usually doesn't chase the bleeding edge.

Let the risk takers tank the challenges, and we'll come in after and benefit from what's already been figured out.

We just opened Copilot chat to our users late last year. We discovered, and squashed, a whole slew of people trying to shadow IT their way into "supercharging their workflows with AI". A few were fired for shoving private info into public and unapproved models, but not nearly enough.

I’ve been in the software industry for 30 years. There has always been an active disdain for programmers, since we have been relatively scarce and moody and mysterious to the suits. Every so often, another product comes along which purports to finally free the organization of these pesky programmers and let the normies do the work faster and better. Management falls hard for the grift, and things end up worse off as a result. We’re in another one of those right now.

All that “genius” bullshit has always been a thin veneer, said through gritted teeth. They’ll come crawling back soon enough. But it does suck in the meantime.

I really noticed it when instead of thinking how to solve X, my mind started phrasing a prompt to ask how to solve X instead, does that make sense? I found this to be a dangerous, almost evil thing, and I'm sure it is the same with my coworkers, or they just don't like to admit it. I still do this sometimes but am giving my best to unlearn it. And the crazy thing is, I did not even use it that much, only very occasionally, similar to what you mentioned you do. I do not wish to know how cooked the brains of "vibe coders" are by now...

We have a goal for everybody in the company, from sales to senior dev: “Demonstrate the use of AI in daily activities”. What the fuck does that even mean. Like, is the office manager supposed to answer phones with ChatGPT?

"Let them eat slop" - Queen Marie-Antoinette

(Yes I know she didn't actually say it but let me have it)

My company made the announcement during a meeting that we're going full AI. Our website is going to get sloppified, our software is going to get sloppified, and it's going to let our clients sloppify even harder. They're expecting everybody to start using AI in our workflows somehow, not just engineers. They're going to look at the numbers and ask questions if anybody isn't using Claude enough.

I'm protected for now because my environment is a bit more locked down, so they can't expect me to use AI, yet.

They can fire me when that day comes. I refuse to use generative AI.