The experiential chain in which each cycle of doing and undergoing runs through the domain itself — software, medicine, law — depositing understanding of principles rather than of tools.
Domain-continuous experience is the form of practice in which each session modifies the builder's understanding of the domain's enduring structure. The developer who spends a thousand hours debugging encounters the specific resistance of computation — its unforgiving logic, its cascading failures, its patterns of success and collapse. The understanding that accumulates is transferable across languages, platforms, and tools because it is grounded in principles the domain shares regardless of the instruments used to engage with it. This is the form of experience that traditional apprenticeships produced at great cost. It is also the form whose continuity is threatened when AI-mediated building runs primarily through the tool rather than through the domain.
Domain-Continuous Experience
In The You On AI Field Guide
The distinction between domain-continuous and model-continuous experience is the Dewey volume's most original contribution to the AI discourse. Traditional software development, before the natural-language interface collapsed the implementation barrier, was overwhelmingly domain-continuous by default. The developer who wanted to build had to encounter software. The encounter was the