DevOps for AI-Native Platforms

Volume three of The Full-Stack AI Engineering Series, covering the operations layer at which models, agents and services stop being team-by-team decisions and become a governed internal platform. Twelve chapters develop ThinkFlow, a fictional internal developer platform operated by the regulated fintech Nebula Financial, and treat the catalog of record for services, models and agents, golden paths for AI workloads, AI-augmented continuous integration and delivery, trust tiers and the transfer of authority to an agent under policy, reinforcement-learned adaptive test selection, the evaluation and benchmarking of operational agents against real continuous-integration failures, the PARA operating model of perception, action, reasoning and adaptation, the platform as a gateway serving machines as carefully as people, and FinOps with GPU-aware scheduling. A case study carries a single plain-language request through to a shipped and governed service. Specifications are conceptual, presenting guardrail schemas, risk profiles, catalog entries and golden-path templates rather than production code. Addressed to platform engineers, DevOps leads and internal-platform owners.