I am continuously learning about AI agents mainly through documents available, videos, or Git repos but I feel like I am missing the architecture side of things. You can build small demos with tool calling, but when it comes to memory handling, multi-agent coordination, failure states, observability/debugging, making agents reliable it starts getting messy pretty fast. I came across a small 2-day weekend cohort focused specifically on building AI agents by Valentina Alto, Lior Gazit, and Leonid Kulign but I am confused whether programs like that are actually worth it compared to just figuring things out on own. Honestly, I have read few of their books which made sense to me and were easy to understand and practical. I needed opinion if such cohorts are really helpful Or is hands-on experimentation enough? I am feeling to attend it this time but really confused around it. submitted by /u/FoundSomeLogic
Originally posted by u/FoundSomeLogic on r/ArtificialInteligence
