September 2026
Intermediate
322 pages
7h 22m
English
Platform engineers do not wake up hoping to add seven more controllers to a Kubernetes cluster. They wake up wondering why a deployment is stuck, why a certificate did not renew, why a team has copied credentials into a repository, or why a portal says an application is healthy when the application is very much having a bad morning. That is the right place to begin a book about an AI-native internal developer platform. The technology is interesting, but the operational problem comes first. We need a platform that lets teams consume AI capabilities without creating a second, less-governed path around everything we already know about delivery, security, networking, and reliability.
In this chapter, ...
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