alt Hacker NewsI would agree with this. Programming/coding has been a portion of my job as an Ops engineer for last few years, but it was the part I liked the most. So I’ve been pretty heavily against AI use.
However there are other folks in my company who, with very little programming knowledge, have produced viable, workable solutions for our company to use. All projects that were in my list of TODOs that I hadn’t gotten around to.
It was in that moment that I realized I’m very quickly going to be surpassed if I don’t adapt and move quicker with AI solutions. Since then my output has increased a bunch.
I’m not the most stoked on it, but as with all companies, results are far more important than the journey. So long as it works and is at least mostly maintainable, leadership does not really care how we got there.
But all of this was forcing my hand because people without the foundational skill set were creating equivalent output to my artisan, bespoke solutions. Writing is on the wall.
I think you're entitled to your opinion, but want to point out that there's 2 different axes on the graph here. You are unhappy about LLMs' affect on your working conditions, but also concede it's inevitable and the labs are at least somewhat sincere in their predictions of it displacing a significant amount of the value in the software engineering market.
It's not necessarily a given that the person you're replying to agrees on the latter, and therefore they might not be stoked on you starting off by agreeing with them but going on to make an argument that supports the companies responsible for the very thing they're complaining about.
I think there's a contradiction in you stating that management thinks LLM-generated output is "maintainable". They went to business school, they don't know what that means. It's your job to explain to them the consequences of shipping code faster than the people whose job it is to understand it can do so.