JOSH SIDELSKY
Updated May 2026
I'm an AI-native design engineer working across product, interface design, and frontend engineering.
I like early-stage teams, high ownership, in-person collaboration, and ambiguous problems that need to become real product experiences.
I use AI to move faster, but the point is not just output. The point is better judgment, wider exploration, and a clearer path from idea to shipped software.
The important part is deciding what should exist: the problem, the user, the business context, and the shape of the product.
Good design comes from range. I use AI to generate more directions, compare approaches, and widen the search space before narrowing in.
I like interfaces that scale: components, flows, states, responsive behavior, and design systems that survive real product complexity.
I use design and engineering as one loop: prototype the interaction, ship the interface, test the behavior, and refine the real product experience.
I'm best in early-stage environments where the work crosses roles, priorities change quickly, and loose ideas need to become software.
Worktrees + drive-by agents Parallel implementation, quick fixes, and faster context switching.
Wispr Flow Voice-first drafting for notes, specs, and rough product thinking.
Obsidian knowledge bases Durable project context that agents can actually use.
AI-assisted design exploration Reference search, direction grouping, feedback loops, and design-system-aware iteration.
Code as design source of truth Using the app and component system as the real design surface, with Figma becoming lighter-weight exploration instead of the final authority.
HTML over Markdown Richer specs and planning docs for agent-readable product work.