Software systems often fail because technical structure drifts away from domain understanding.
Domain-Driven Design addresses this by placing the domain at the center of software work. Evans argues that teams need a shared model expressed in a shared language. That language should appear in conversations, diagrams, and code.
The model is not merely documentation. It is a working understanding of the business reality the system supports.
DDD also recognizes boundaries. Different contexts may need different models.
This makes the approach deeply sociotechnical.
The quality of the software depends on the quality of collaboration between technical experts and domain experts.
Why this belongs here
Knowledge Flow depends on shared models that connect language, system behavior, and domain understanding. DDD belongs here because it treats software design as a knowledge practice.
When concepts drift or remain implicit, software encodes confusion. When domain understanding is made visible and shared, systems can preserve meaning across teams and time.
