Harrison's In the Loop Series

This collection of articles explores the evolving landscape of AI agents and the frameworks used to build them. Key topics include how coding agents are changing software development, the architecture of agent frameworks, and the critical role of observability in understanding agent behavior. The series also delves into advanced concepts such as multi-agent systems, "context engineering," and the design of "Deep Agents." Overall, the posts provide insights into building, monitoring, and evaluating sophisticated AI applications using tools like LangChain.