Taner Yener

A Phased Architecture for Complex CoA Phased Architecture for Complex Context Understanding AI agents are no longer just “LLM + prompt”. Real-world agents must reason, remember, act, and adapt across long-running tasks, multiple systems, and evolving context. This article presents a phased architecture for building scalable AI agents — from naive prompt-based

Hi, I’m Taner. I build backend software, and I spend a lot of time thinking about how systems really behave once they hit production. Most of my work lives close to the edge: real traffic, real failures, and real constraints. I’m especially interested in backend development, distributed systems,