How Agent Development Toolchains Evolved: From Basic Frameworks to Model‑Centric AI
This article traces the evolution of agent development toolchains across four stages—basic frameworks, collaboration tools, reinforcement‑learning‑driven context engineering, and model‑centric architectures—while highlighting how stable cloud‑native infrastructure components like gateways, runtimes, observability, and security keep AI applications reliable and scalable.
