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
影响 Enables deterministic and auditable infrastructure generation for regulated cloud environments.
排序理由 Article describes a specific application of LLMs to infrastructure generation, not a new model release or core research.
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