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Part 1: Why the AI Agent Layer Exists About This Series This is the first post in a four-part series on building intelligent enterprise AI systems. Each part builds on the last, taking you from foundational concepts through to…
Uber recently described an internal architecture for propagating identity across multi-agent AI workflows. The design aims to perserve user context, agent provenance, and scoped access as agents delegate work and call internal tools. The…
Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks.…
Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process science for scalable workflows, and…