Literate Model-Driven Cloud-Native Development with Object-Functional Paradigms for the AI Era
In AI-driven development, one of the central questions is how to achieve non-functional requirements such as Security and Observability. Even observability alone requires many cross-cutting concerns such as distributed tracing, metrics, structured diagnostics, payload protection, and integration with external observability platforms. Delegating these concerns to individually generated implementations rapidly increases generation, review, and operational costs while also destabilizing quality assurance. For this reason, once sufficient structural information is described in the Literate Model, the CML&CNCF model compiler and execution framework establish Security and Observability as cross-cutting runtime behavior.
2026-05-18
SimpleModeling adopts an architecture-centric approach derived from the Unified Process. Architecture is treated not merely as a design artifact, but as the organizing structure that guides requirements, analysis, design, implementation, and operation. By applying architectural viewpoints from the earliest stages, models become more coherent, analyzable, and AI-friendly.
2026-05-11
CNCF authorization evaluates both operation entry points and resource access. Roles, permissions, relations, and ABAC are normalized into capabilities and guards, and evaluated through a unified decision model.
2026-05-04