My subordinate is quite proud at the code AI produces based off his prompts. I don’t use AI personally, but it is surely a tool. Don’t know why one would be proud at the work they didn’t do and can’t explain though. I have to manage the AI use to a “keep it simple” level. Use AI if there is a use case, not just because it is there to be used…

I feel like giving AI our information on a regular basis is just training AI to do our jobs.

I’m a teacher and we’re constantly encouraged to use Copilot for creating questions, feedback, writing samples, etc.

You can use AI to grade papers. That sure as shit shouldn’t happen.

I vibe code from time to time because people sometimes demand quick results in an unachievable timeline. In saying that, I may use a LLM to generate the base code that provides a basic solution to what is needed and then I go over the code and review/refactor it line by line. Sometimes if time is severely pressed and the code is waaaay off a bare minimum, I’ll have the LLM revise the code to solve some of the problem, and then I review, adjust, amend where needed.

I treat AI as a tool and (frustrating and annoying) companion in my work, but ultimately I review and adjust and amend (and sometimes refactor) everything. It’s kind of similar to when you are reading code samples from websites, copying it if you can use it, and refactoring it for your app, except tailored a bit more to what you need already…

In the same token, I also prefer to do it all myself if I can, so if I’m not pressed for time, or I know it’s something that I can do quickly, I’ll do it myself.

Obsessive.

I work at a large tech company. It’s in our expectations. I hate it so much

It’s very obvious half my team’s code base is AI written garbage

Some people are using it for work purposes when there isn’t a major policy on it.

You can tell because the work is shit.

My “company” is tiny, and only employs myself 1 colleague, and an assistant. We’re accountants.

We self host some models from huggingface.

We don’t really use these as part of any established workflow. Thinking of some examples …

This week my colleague used a model to prep a simple contract between herself and her daughter where by her daughter would perform whatever chores and she would pay for cello lessons.

My assistant used an AI thing to parse some scanned bank statements, so this one is work related. The alternative is bashing out the dates, descriptions, and amounts manually. Using traditional OCR for this purpose doesn’t really save any time because hunting down all the mistakes and missed decimal places takes a lot of effort. Parsing this way takes about a third of the time, and it’s less mentally taxing. However, this isn’t a task we regularly perform because obviously in the vast majority of cases we can get the data instead of printed statements.

I was trying to think the proper term for an english word which has evolved from some phrase or whatever, like “stearing board” became “starboard”. The Gen AI suggested portmanteau, but I actually think there’s a better word I just haven’t remembered yet.

I had it create a bash one liner to extract a specific section from a README.md.

I asked it to explain the method of action of diazepam.

My feelings about AI are that it’s pretty great for specific niche tasks like this. Like the bash one liner. It took 30 seconds to ask and I got an immediate, working solution. Without Gen AI I just wouldn’t be able to grep whatever section from a README - not exactly a life changing super power, but a small improvement to whatever project I was working on.

In terms of our ability to do our work and deliver results for clients, it’s a 10% bump to efficiency and productivity when used correctly. Gen AI is not going to put us out of a job.

Our devs are implementing some ML for anomaly detection, which seems promising.

There’s also a LLM with MCP etc that is writing the pull requests and some documentation at least, so I guess our devs like it. The customers LOVE it, but it keeps making shit up and they don’t mind. Stuff like “make a graph of usage on weekdays” and it includes 6 days some weeks. They generated a monthly report for themselves, and it made up every scrap of data, and the customer missed the little note at the bottom where the damn thing said “I can regenerate this report with actual data if it is made available to me”.

I work in IT, many of the managers are pushing it. Nothing draconian, there are a few true believers, but the general vibe is like everybody is trying to push it because they feel like they’ll be judged if they don’t push it.

Two of my coworkers are true believers in the slop, one of them is constantly saying he’s been, “consulting with ChatGPT” like it’s an oracle or something. Ironically, he’s the least productive member of the team. It takes him days to do stuff that takes us a few hours.

I am reminded of this article.

The future of web development is AI. Get on or get left behind.

5/5/2025

Editor’s Note: previous titles for this article have been added here for posterity.

The future of web development is blockchain. Get on or get left behind.

The future of web development is CSS-inJS. Get on or get left behind.

The future of web development is Progressive Web Apps. Get on or get left behind.

The future of web development is Silverlight. Get on or get left behind.

The future of web development is XHTML. Get on or get left behind.

The future of web development is Flash. Get on or get left behind.

The future of web development is ActiveX. Get on or get left behind.

The future of web development is Java applets. Get on or get left behind.

If you aren’t using this technology, then you are shooting yourself in the foot. There is no future where this technology is not dominant and relevant. If you are not using this, you will be unemployable. This technology solves every development problem we have had. I can teach you how with my $5000 course.

My company is doing small trial runs and trying to get feedback on if stuff is helpful. They are obviously pushing things because they are hopeful, but most people report that AI is helpful about 45% of the time. I’m sorry your leadership just dove in head first. That’s sound like such a pain.

I’m in software. The company gives us access and broadly states they’d like people to find uses for it, but no mandates. People on my team occasionally find uses for it, but we understand what it is, what it can do, and what it would need to be able to do for it to be useful. And usually it’s not.

If I thought anyone sent me an email written with AI, I would ask them politely but firmly to never waste my time like that again. I find using AI for writing email to be highly disrespectful. If I worked at a company making a habit out of that, I would leave.

We get encouraged to try out AI tools for various purposes to see where we can find value out of them, if any. There are some use-cases where the tech makes sense when wielded correctly, and in those cases I make use of it. In other cases, I don’t.

So far, I suspect we may be striking a decent balance. I have however noticed a concern trend of people copy-pasting unfiltered slop as a response to various scenarios, which is obviously not helpful.

The most technically illiterate leaders are pushing the hell out of using for things that don’t make sense while the workers who know what they are doing are finding some limited utility.

Out biggest concern is that people are going to be using it for the wrong stuff and fail to account for the errors and limitations.

The incompetent coworkers who usually ask me to do things for them (data entry etc) are asking ai first. One of the boomer managers is regularly printing out Google’s AI search result summaries as a basis for research and to write emails for him, which is impressively irresponsible. No top-down expectation to use, which is nice.