Code generation has shifted. The majority of code calling a new pub.dev package is no longer typed by a human reading the documentation; it is generated by LLMs (Copilot, Cursor, Claude) operating within an IDE. If an AI assistant hallucinates your API, the human developer will blame your package and remove it.
Building a package in 2026 requires engineering for two distinct consumers: the compiler and the LLM context window.
This post details the architecture of making json_shield AI-ready. It deconstructs the four artifacts that reach a consumer's AI, the one artifact that steers a contributor's agent, and the deterministic rules for writing them.
The LLM Consumer Architecture
When a developer prompts an assistant to "use json_shield to parse this response", the LLM does not browse the repository. It relies on Retrieval-Augmented Generation (RAG) and its pre-trained weights. Because the package is new, pre-trained weights are zero.
