AI doesn't need your design system to be perfect. It needs it to be honest.
Why documenting your mess matters more than fixing it
Why documenting your mess matters more than fixing it
How Figma's newest feature exposes an uncomfortable truth about the way we've been building systems
Why teams with perfect systems still build around them instead
How AI tools surface every shortcut and inconsistency
How to structure components for machine readability, semantic clarity, and long-term resilience
How deliberate deprecation protects trust, clarity, and product velocity
How perfectionism kills component adoption faster than bad code
A monthly roundup of what I've been reading, building, and thinking about
AI is learning from our design systems, and quietly reshaping them in return. Here’s what that feedback loop means for consistency, drift, and control
How Figma's newest feature exposes an uncomfortable truth about the way we've been building systems
How AI is shifting design systems from one-way handoffs to continuous, two-way sync – and what that means for how we build products
How your design system vocabulary becomes AI context
The gap between what your system says and what it does used to be a minor annoyance. Now it's a structural fault.
Lessons from Baldurs Gate 3 on contracts, governance, and judgment at the edges