Dynamic World Models: The Missing Requirements Layer for AI-Native Software Engineering
AI can generate code. That does not mean it understands the world the code is supposed to represent.
This distinction is becoming one of the central problems in AI-native software engineering. A model may produce a plausible database schema, API, or workflow while missing an implicit business rule, confusing a role with a person, or treating a derived state as a source of truth. The output can be syntactically correct and still describe the wrong system.
The missing layer is not another code generator. It is a better representation of requirements.
We call this representation a Dynamic World Model: a reasoning framework for explaining how a domain works and why it is in its current state. In this framework, concepts participate in events, under constraints, to create and evolve relationships. Software is then generated or implemented as an executable projection of that explanation.