Blog

In this blog, we introduces the latest technologies and research related to SimpleModeling, as well as ongoing initiatives and the process of trial and error in development. Through these articles, we share the practical possibilities of Literate Model-Driven Development and AI-Driven Development.

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Blog

Harness Engineering and SimpleModeling

SimpleModeling integrates BoK, literate models, DSL, and execution platforms to extend Harness Engineering into a foundation that governs execution based on meaning. It reduces gaps between specification and implementation and enables consistent quality and reproducibility required in the AI era. Read More

2026-03-30

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Blog

Reinterpreting the Unified Process in the AI Era

In the previous article, we organized the development process for the AI era by positioning the Unified Process as the structural backbone of the process and Component-Based Development as the central structure of development. The Unified Process defines the software development process through three core principles: Iterative & Incremental development, Architecture-Centric design, and Use-Case Driven development. These principles remain valid even in the age of AI. However, in an environment where AI-based code generation has become commonplace, the meaning and role of each principle need to be understood somewhat differently from how they were interpreted in the past. In this article, we revisit the three fundamental principles of the Unified Process as a guide and re-examine the nature of the development process in the AI era. Read More

2026-03-16

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Blog CBD-Centered Development Process in the AI Era

In the AI era of software development, the design of system structure becomes more important than the capability of code generation. This article organizes a basic framework for AI-assisted development, using the Unified Process (UP) as the backbone of the process and Component-Based Development (CBD) as the central architectural structure.

2026-03-09

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Blog The Value of CBD in the AI Era

While AI accelerates software development, it has also introduced a new challenge: structural instability. This article revisits the contemporary value of CBD by examining not only its original structural strengths, but also its role in the AI era—through structural constraints that improve generation accuracy, boundaries and specifications that suppress instability, and reusability enhanced by AI. CBD should not be regarded merely as a reuse technique, but rather be re-evaluated as a foundational technology that stabilizes development in an AI-first era.

2026-03-02

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Blog CBD Enabled by DSL and Execution Platform: Implementable Component Structure

This article argues that through the combination of a DSL and an execution platform, CBD becomes an implementable structural reality. By rigorously defining analysis models as a DSL in Cozy and structurally guaranteeing those specifications at runtime through CNCF, components become not merely design concepts but concrete entities that can be registered, discovered, and connected. Furthermore, by integrating a cloud-native architecture centered on CQRS, the externalization of quality attributes, and asynchronous abstraction, CBD is redefined as an executable architectural unit suited for the AI era.

2026-02-23