But for me, the real catastrophe is that they took away all my motivation to learn which was the main work driver for me. Anything I can learn now, the models probably already know or will learn soon enough. Steering LLMs isn't anywhere near being a "deep" skill I'm used to having and it too is being eaten by the agentic tools faster than we learn it. The "make it good" button is coming. And I hate it.

As for your argument, there's no such thing as elegance. Code "elegance" is mainly maintainability (and, to a smaller degree, some other aspects like security, performance, etc.). The importance of maintainability greatly varies between projects, industries and individual subjective viewpoints, resulting in the diversity of attitudes to AI-assisted coding. That, of course, assumes that AI cannot match humans in maintainability. Which seems to be the case to me right now. But it also seems that the gap is closing, not as much through AI writing "better" code, but mainly through it being increasingly capable of maintaining "bad" code.

It's called Spora: https://spora.to/

The current MVP is about 90% vibe-coded while being a fairly sophisticated piece of software.

It's mainly for censorship evasion (should be much harder to block than the regular centralized VPNs), but also for expats to access geo-blocked domestic services.

It's at the MVP stage and honestly it evoked much less interest in people than I hoped it would, but I'm still going on despite my better judgement.