11–19 of 19 posts
Fintech, banking..
Fintech has a ton of regulations. Everything layered over and over with tests. There's a form of extreme engineering where fintech runs tests in production, meaning that the systems in place are robust enough to handle bad code and junk data.
Defence. We don't use any LLMs, and couldn't even if we wanted to. To be fair the code they produce is dogshit, so it isn't a problem.
I am baffled about how each company are jumping into LLMs without considering anything about their own privacy when 10 years ago, just using GitHub with a private repository could have been an issue.
> To be fair the code they produce is dogshit, so it isn't a problem.
That's not a problem for managers and CTO that are just being brainwashed by marketing and LinkedIn posts that all their engineers should use Cursor.
Just get really good at something, in the top 10% where you would be writing books and disagreeing with reddit. AI is predictive. Most people will fall to a comfort zone where AI tells them what to do. But you should become an expert and be one of the few who are telling it what to do.
Every month CTO meeting is about them pushing software engineer to use Cursor.
Many excellent LLM are being created. I feel that this era is similar to the emerging automotive industry era. In other words, we are currently in an era of engine performance competition, competing for power and speed. However, I believe that this era will eventually transition to the next phase.
Also, my main issue is not really AI not being good enough. If a company is fine getting sh*t code then let's go full AI, but I love my job, I love solving issues, coding, working with new paradigm, trying solutions, failing, improving, etc. I don't want to be a prompt expert and being asked to review AI generated code all day long.
Of course, it is a very personal opinion, but I think it is still shared by a decent bunch of people.
Defence. We don't use any LLMs, and couldn't even if we wanted to. To be fair the code they produce is dogshit, so it isn't a problem.
That might be a good candidate, right. I am baffled about how each company are jumping into LLMs without considering anything about their own privacy when 10 years ago, just using GitHub with a private repository could have been an issue. > To be fair the code they produce is dogshit, so it isn't a problem. That's not a problem for managers and CTO that are just being brainwashed by marketing and LinkedIn posts that…
Embedded systems in infrastructure systems should be save as they not only need to be specific but are just important and dangerous but you never know.
From what I’ve seen, LLMs are good at making stuff that has already been made and posted to GitHub a thousand times before. At my job we’re constantly asked to do things that really haven’t been done before, at least not by people sharing source code, so the LLMs suck at most of it. LLMs make for great tech demos, but when it comes to writing code for production that actually does something new and useful, it hasn’t…
But they do work for pair programming. Which explains a lot of the tech layoffs we've been seeing.