How AI Accelerated Prototyping: From Idea to Tangible in Record Time
By
Daryl Cecile
Fresh out the oven, still warm. Top of the tray.
Summary
The author reflects on how AI has transformed their prototyping workflow. Previously, the biggest bottleneck was the time needed to scaffold projects and handle mundane setup tasks before reaching the interesting parts. Now, AI has largely eliminated that bottleneck, allowing for faster iteration from idea to tangible prototype. The author expresses cautious enthusiasm, acknowledging previous reservations about AI in their workflow while noting how dramatically the speed of prototyping has changed.
Key quotes
· 4 pulledA few years back I wrote about my love of throwaway prototypes; those little proof-of-concepts that exist purely to get an idea out of your head and into something tangible.
At the time, my biggest bottleneck was me; the time it took to scaffold a project, wire up the boring bits, and get to a place where the interesting parts could actually be tested.
Fast forward to now, and that bottleneck has all but vanished.
I've been a little hesitant to write about this. I've already shared some cautious thoughts on AI and where it fits into my workflow, and I stand by all of it.
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