I have an attempt in the same domain, would love feedback
We think - Generative AI is config management. We model it on top of config management grammar that is proven to work at K8s/Terraform scale - jsonnet.
Prompts live outside the code. We didnt invent a new markup - we used jsonnet which is used in large scale kubernetes and has a grammar that has been well tested for config mgmt.
We thought the same thing with https://neum.ai - config management/infra as code for your LLM app, using plain JSON, though we are abstracting even more what LangChain does. Not suitable for the audience here given the level of customizations some folks want.
We think - Generative AI is config management. We model it on top of config management grammar that is proven to work at K8s/Terraform scale - jsonnet.
https://github.com/arakoodev/EdgeChains/blob/main/Examples/r...
Prompts live outside the code. We didnt invent a new markup - we used jsonnet which is used in large scale kubernetes and has a grammar that has been well tested for config mgmt.