This is a very eloquently written adventure into what most of us know as ai fuckery. I don't want to ruin it for you. Read it yourself, please.

I'm always learning something from @mttaggart , and this is no exception.

https://taggart-tech.com/reckoning/

I used AI. It worked. I hated it.

I used Claude Code to build a tool I needed. It worked great, but I was miserable. I need to reckon with what it means.

@da_667 @mttaggart having not used genai much but reading a lot about it, I've got the sense that it's good if the thing you care about is code quantity VS quality. Of course, good engineers care about quality but I imagine business really only cares that it "works" and that the labor required to get it working is as fast and cheap as possible. When labor demand is high then labor has leverage to focus on quality, but the AI reduces the demand and so we're left having to focus on quantity.
@da_667 @mttaggart mttaggart reluctantly used genai because the thing that mattered was speed, or code quantity over time. It was interesting to read how they setup guardrails to keep things secure. Their note about having this feeling now like "I COULD just let the AI do this... " is a huge reason I've avoided using AI much. I know I'd feel the same way. I might let myself do it if I believed these companies could actually turn a profit without enshittifying the hell out of these services.

@da_667 @mttaggart I'm trying to wait for the dust to settle after the bubble pops before relying on cloud AI for anything. At work though, you gotta do what you gotta do.

Reduced quality is likely to lead to security issues but I'm not sure business really cares about that in general. They need incentive to care. How many companies are breached every year and what ramifications do they really have? Buy their customers a year of credit monitoring? Cost of doing business these days.