People struggle to build AI agents because AI agents are new. There is no "ruby on rails" for AI agents.

I don't know why you would say juniors handle this better. From what I've seen, juniors who ship fast often do so by ignoring domain complexity and testing against a single "happy path" prompt.

Seniors take longer because they are actually trying to understand the domain and cover edge cases. Speed isn't a metric of success if the feature is half-baked and breaks the moment a user deviates from the test case.

Dosent just a whole lot of it boil down to agents being bad. Non deterministic. Dosent have the same references as humans. Cannot take simple clues. Stumbles on itself.

Calling a agent junior level is a disserive to juniors. At least humans more often realize they need more context, instead of just going ham.

"Why senior developers just don't get how blockchain is going to change the world economy"

Yeah no, this angle is offensive.

I use LLM's daily as a search engine and syntax help - but this bizarre meta-meta-meta now if you just abstract even more it'l work, maybe invent an entire universe, or hey why not invent a cluster of universes that'l turn off the lights in eastern europe so you can vibecode... no, no, no.

I don't think this crazy energy wasting hell is getting us anywhere useful when someone's going to wade through the bullshit and the energy needs will go exponential on an already strained energy infrastructure not to mention the state of climate.

I still believe LLM's are helpful but in the other direction, more focused, smaller scaled and with less abstraction and magic happening.