u/Bladerunner_7_

I totally get why it exists and why people use it, but lately I feel like I spend more time solving abstractions, configs, memory, tracing, orchestration than actually building useful workflows.

Perhaps I'm doing it wrong but I'm curious what other people's experiences have been.

Is anyone else feeling like most AI tooling is getting harder, not easier?

I feel like I spend half my time fighting frameworks, configs, vector DBs, and orchestration layers instead of building. Perhaps I'm doing it wrong but the ecosystem seems way more complicated than it needs to be at the moment. Just curious what people actually like working with these days.