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[ARTICLE · art-14288] src=news.ycombinator.com pub= topic=large-language-models verified=true sentiment=· neutral

Ask HN: Is there a need for YAML in post-LLM world?

A Hacker News user questioned whether YAML and other declarative configuration languages remain necessary in a post-LLM world, arguing that AI models could replace complex YAML files with simpler natural language commands that generate code directly. The user cited Kubernetes configurations as an example, suggesting LLMs could enable developers to describe desired infrastructure in plain language, producing concise Python code instead of lengthy YAML files.

read1 min publishedMay 26, 2026

| |||||||||||| 1 point by | Curious to know your opinion about YAML and other DSL created to make workflows/processes less software engineering (imperative) and more configuration (declarative). Take a look at K8s for example, lots and lots of YAML configurations, which was used for human readability, but with LLMs do we still need them? Wouldn't it be easier with LLMs to say: expose this service with 10 pods and enable only internal routing - which then updates couple lines of Python code (pulumi, aws cdk and etc,.) instead of generating 5 yaml files each with at least 40 lines of YAML and also try to reuse same attributes/labels/tags | ||||||||||| |

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