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Perspective2 min read

Design Systems Are AI Infrastructure

Design systems are evolving beyond components and tokens into AI infrastructure.

As AI platforms are becoming increasingly capable and trusted, we're all observing more specialized models, agents, and tools emerge to handle work that once required entirely different workflows.

Figma is a good example. It's investing in models that understand design, work with existing files, and make changes directly on the canvas. The platform isn't just helping people design. It's increasingly participating in the work itself. As these platforms get better at doing the work, a bigger question emerges:

Where does the knowledge that guides that work live?

A company's design system isn't just a collection of components and tokens. It represents years of decisions about how things should work, why certain patterns exist, and what standards new work should follow. That accumulated knowledge becomes more valuable as AI makes it easier to generate new things.

Meanwhile, Figma, IDEs, and AI platforms will continue competing to own more of the workflow. But the knowledge that makes an organization's work distinctive shouldn't have to move every time the tooling does.

We believe that knowledge should be:

  • Owned. The organization controls its system, its standards, and how they evolve. Its knowledge shouldn't be tied to a particular platform or vendor.
  • Portable. Different tools, models, and agents can access the same underlying knowledge through open interfaces. The system travels with the work, wherever it happens.
  • Verifiable. The system provides more than context for generating something. It establishes the standards against which the work can be evaluated.

That's how we think about Handoff's place in the evolving AI landscape.

Handoff isn't another model or agent, or another platform that owns the entire workflow. We're building open infrastructure that makes an organization's design system and accumulated knowledge accessible to the people and systems doing the work.

The models will change. The agents will change. The tools will change.

The system should outlast them.