Summary
Product manager and creator Peter Yang walks through a complete AI-native workflow for designing and building a web app called Tastemaker — a personal taste profile page for movies, TV shows, and games — using Claude Design and Claude Code from start to shipped product in approximately 25 minutes.
The six-step process Yang demonstrates is designed to replace traditional Figma-based design workflows: define the user problem using Claude to research market context, generate a design.md file capturing visual principles and color/typography guidelines (informed by screenshots from an inspiration app called Monogram), explore and iterate on prototypes in Claude Design, produce an HTML spec combining product and technical requirements, design all core screens, and finally hand off to Claude Code for implementation. A key technique highlighted throughout is the design.md artifact — a structured markdown file that gives Claude a consistent visual language to work from, preventing the generic “purple slop” aesthetic that AI design tools default to without explicit direction.
The tutorial covers practical iteration patterns in Claude Design: manually editing specific elements, giving natural-language feedback to adjust layouts (e.g., switching favorites to a six-across Netflix-style grid), and exporting designs as zip files or HTML for import into Claude Code or other coding agents. Yang also references z.sh as a resource for pre-built design.md files modeled on Apple, Vercel, Notion, and other recognizable products — a useful shortcut for teams that want strong visual baselines without starting from scratch.
📺 Source: Peter Yang · Published July 29, 2026
🏷️ Format: Hands On Build
