UX testing at speed
When you can build a prototype in hours, you can test it with users the same day.
Traditional UX: research → wireframes → feedback → mockups → feedback → development → user testing → iterate. Weeks or months from concept to validated design.
AI-era UX: research → AI-generated working prototype → user testing → iterate → ship. The wireframe-to-development pipeline collapses because AI can generate working code from a design concept in hours.
What changes
Test with real software, not mockups. When you can build a working prototype in hours, why test with a static mockup? Real software gives real feedback — users can actually interact with it, discover edge cases, and give feedback based on experience rather than imagination.
Shorter research cycles, more of them. Instead of one big research phase followed by one big design phase, continuous small research loops. Each one answers a specific question. Each one feeds directly into a prototype.
Designer-developer convergence. UX designers who can prompt AI to build prototypes become dramatically more productive. The boundary between "designing" and "building" blurs. Designers who can use AI tools to create working prototypes don't need to wait for engineering availability.
The organizational implication
UX research must become continuous, not phased. Design teams need access to AI development tools. The handoff between design and engineering gets replaced by collaboration — designers and engineers working simultaneously on the same prototype, iterating in real-time.