Literate Model-Driven Cloud-Native Development with Object-Functional Paradigms for the AI Era
The Static Model Harness provides a foundation for describing domain concepts, relationships, and rules as models and connecting them to checking and execution. Part 3 of this series explains how established software engineering practices can make business constraints effective during AI-assisted generation and modification.
2026-10-05
The Model Harness describes software close to domain knowledge and constrains generation and change through processor checks and execution. Correspondence with requirements also supports checking the software's purpose. Part 3 develops static structure through concepts, relationships, and rules; Part 4 develops dynamic behavior, including state machines.
2026-09-28
An AI Development Harness connects AI interpretation, exploration, and completion with the results of software engineering, including models, architecture, execution, and verification. It makes the judgments supplied by AI explicit and verifiable, then executes the adopted meaning through programs and runtimes. The series shows how different harnesses can be combined to bring new AI applications and development speed to business-application-scale development.
2026-09-21