Ask HN：在后大语言模型时代，YAML 还有必要吗？
本文探讨在后 LLM 时代，YAML 及其他用于工作流/流程配置的声明式 DSL 是否还有存在的必要。作者以 Kubernetes 为例指出，大量 YAML 配置原本是为了人类可读性而设计，但在大语言模型出现后，或许直接用自然语言描述部署需求（如“暴露这个服务，10个Pod，仅允许内部路由”），再由 LLM 生成几行 Python 代码（Pulumi、AWS CDK 等）来替代动辄上百行的多个 YAML 文件，会是更高效的方式。
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