This article introduces a method for using LLM-authored templates and deterministic generators to create reproducible cloud infrastructure, specifically for Google Cloud Platform (GCP) landing zones. The approach distinguishes between "compile-time AI" for generating infrastructure code and "runtime AI" which is unsuitable for regulated environments requiring auditable and deterministic outputs. The system, named Merlin, involves building a curated corpus of schemas, compliance rules, and templates, which architects then use to configure and generate infrastructure code without direct LLM involvement during the generation phase. AI
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IMPACT Enables deterministic and auditable infrastructure generation for regulated cloud environments.
RANK_REASON Article describes a specific application of LLMs to infrastructure generation, not a new model release or core research.
