What is “agentic AI cloud era” referring to? I honestly don’t know what this buzz-speak is targeting. Running models locally on the server, for cloud workloads? Agentic, that is just a LLM pattern.
I just LLM-built an A2A package which is a GenServer-like abstraction. I however missed that there already was another A2A implementation for Elixir. Anyway, I decided to leave it up because the package semantics were different enough. Here it is if anyone is interested: https://github.com/actioncard/a2a-elixir
Awesome! I was thinking about implementing something similar for the Swedish government APIs to improve transparency and knowledge of the democratic processes.
I wonder how easy it is to adopt this project to that?
I was definitely leaning this way too, really well put. Training at work (for all roles) definitely needs an upswing. As a freelance for many years I always made sure to do my own training, be it certifications or meetup groups or conferences. I have little real insight into how common that is nowadays, but I often read that it seems less common.
I switched to it completely, it’s very convenient to have both fast (-est on Mac) Docker support and a really smooth VM setup for running occasional Linux tools (such as Yocto in my case).
Edit: added some background info to my recommendation.