AI will just amplify whatever structure already exists.
Well-named, well-typed, versioned design data → leverage
Sloppy, implicit, inconsistent systems → faster chaos
AI will just amplify whatever structure already exists.
Well-named, well-typed, versioned design data → leverage
Sloppy, implicit, inconsistent systems → faster chaos
They break down when design decisions aren’t explicit enough to survive:
-new teams
-new platforms
-redesigns
-automation
If a decision can’t be named, typed, or diffed, how does it survive entropy?
They break down when design decisions aren’t explicit enough to survive:
-new teams
-new platforms
-redesigns
-automation
If a decision can’t be named, typed, or diffed, how does it survive entropy?
Tokens, schemas, APIs, docs, naming conventions; these aren’t outputs; they’re translation layers.
So, which layers are hardest to maintain? Which ones break down?
Tokens, schemas, APIs, docs, naming conventions; these aren’t outputs; they’re translation layers.
So, which layers are hardest to maintain? Which ones break down?
The question is where those decisions live:
– in people’s heads
– in Slack threads
– in Figma comments
– or in versioned, inspectable systems
Design systems are just one outcome of codifying decisions.
Curious where this framing breaks down.
The question is where those decisions live:
– in people’s heads
– in Slack threads
– in Figma comments
– or in versioned, inspectable systems
Design systems are just one outcome of codifying decisions.
Curious where this framing breaks down.