Design for Humans, or Machines?
As a branding content curator, I flag work that reshapes practice and perspective. This essay asks whether we design for people, or for systems that act like people. It frames the problem through design systems, component documentation, and the growing role of AI in product teams. Read this if you want practical thinking about future proofing design.
The author shows how human centered habits fail when machines cannot infer context. Examples include vague guidelines, Figma comments, and assumptions that designers will interpret nuance. The solution is dual layered documentation that serves human judgment, and machine executable logic. Expect clear rules, mapped inputs and outputs, and converted design rationale into structured data.
This piece offers actionable patterns, like variant logic and prop driven rules, you can adapt right away. It balances flexibility with precision, so teams can keep creativity while enabling automation. Read it to learn documentation templates, tooling ideas, and pragmatic steps to align humans and machines in your system. As a curator, I recommend this as required reading for design leaders. It also challenges teams to rethink governance, tooling, and authorship in design systems. Do not miss the frameworks.
Source: uxdesign.cc
