Mar 24
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I built a complete workflow for converting Figma designs into production Next.js code using Documentation-Driven Development (DocDD) pipelines and Figma's MCP integration. š New to DocDD? Start here: https://www.youtube.com/watch?v=h4lod0-GB9g āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā WHAT YOU'LL LEARN āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā In this tutorial, I demonstrate the complete DocDD pipeline workflow on a real client project (equestrian event management app): - Setting up Figma MCP for AI agent access - The 3-stage pipeline: Mock UI ā Live Data ā Seed Data - Context management techniques (keeping AI in the "smart zone") - Treating AI agents like temp employees - Evolving processes through iteration Key Timestamps: 00:00 - Introduction to DocDD pipelines 02:05 - The pipeline workflow explained 05:15 - DocDD core concepts & context management 07:02 - Documentation structure walkthrough 10:20 - Starting the tickets feature build 13:00 - Figma MCP setup & configuration 16:04 - First code generation from Figma 19:10 - Verifying the mock UI 20:03 - Wiring to live GraphQL data 24:04 - Adding seed data for testing 28:06 - Adding missing ticket images 30:05 - Wrap-up & core skills recap āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā THE DOCDD PIPELINE APPROACH āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā When you have repetitive development tasks (like building multiple tabs with similar patterns), DocDD pipelines let you: 1. **Mock First** - Generate pixel-perfect UI from Figma with dummy data 2. **Wire to Live** - Connect to real API/database with minimal data 3. **Seed Data** - Auto-generate comprehensive test data to see full functionality This keeps each AI session focused and prevents context bloat that causes hallucinations. āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā TECH STACK SHOWN āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā - Next.js 14 with App Router - Tailwind CSS + Shadcn/ui - Figma (with MCP enabled) - Claude AI (via Claude Code) - GraphQL + Hasura + PostgreSQL - Linear (project management via MCP) āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā KEY CONCEPTS āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā **Three Core DocDD Skills:** 1. Context Management - What to build, how to build it, when it's done 2. Accelerating Velocity - Improving review speed and reducing iteration 3. Evolving Processes - Continuously updating documentation and workflows **Treating AI Like Temp Employees:** The more context you give an AI agent, the more it hallucinates. Clear context and start fresh regularly to keep quality high. āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā FIGMA MCP SETUP REQUIREMENTS āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā To use Figma MCP (as of this video): - Figma Professional account or higher - Design must be in YOUR workspace (not guest access) - Enable Developer Mode (Shift+D on Mac) - Enable MCP Server in Figma - Select specific frames/components for AI to access āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā RESOURCES āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š DocDD Website: https://docdd.ai/ š DocDD Primer Video: https://www.youtube.com/watch?v=h4lod0-GB9g šŗ Real World Series (8hrs ā 220hrs): https://youtube.com/playlist?list=PLUEXMqitqQ49kMoWUpTZKzXL-68h6JF__&si=9Lz3sL6eA_IhKn5_ Tools Mentioned: - Claude Code (AI development agent) - Figma MCP - Linear MCP - WhisperFlow (AI speech-to-text) āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ABOUT RYAN & DOCDD āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā I'm Ryan Vice, creator of Documentation-Driven Development. I help developers build production-ready applications faster using AI-assisted workflows while maintaining code quality and reducing hallucinations. This video shows a real client project in progress - actual bugs, real debugging, practical workflows. āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā šŗ Subscribe for more AI-assisted development workflows š¬ Questions about DocDD or Figma MCP? Drop them in the comments! āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā #DocDD #AI #Figma #NextJS #Claude #Development #WebDev #Tutorial