About Platform Engineering and AI

This post in a platform engineering series examines how AI affects the discipline across three layers—as a platform user, an interface to the platform, and a capability within it—citing the book Thinking in Platforms. It draws on the State of AI in Platform Engineering, Volume 2 survey of 350 professionals to describe a five-level maturity framework (Level 0 human-in-the-loop to Level 4 fully autonomous) and the requirements from Level 3 onward, such as governed machine-executable paths, validation loops, distinct agent identities, and isolated environments. The author presents the Agentic Engineering Platform (AEP) as the evolution of the IDP rather than its replacement, covering tooling, path specifications (deterministic, probabilistic, hybrid), and agent infrastructure, and concludes that the field is still learning and calls for an open mind.