Introducing AI as Code:
The overarching config layer for AI
AI as Code (AIaC) is a subset of
Everything as Code (EaC), a Unified Configuration Model and System of Record for defining and orchestrating software solutions.
AI as Code is the streamlined,
overarching architectural layer that incorporates different technologies – legacy enterprise services or modern AI tooling – as elements in the same model.
This approach does not replace any existing tools or configuration methods – whether LLMs, RAG, or framework and runtime environments like LangChain or Semantic Kernel – but unifies and orchestrates technologies to form robust, future-proof and scalable AI solutions.
Reusability
EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.
Reusability
EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.
Reusability
EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.
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