


AI in Action - Session #7: From Figma to Production at AI-Speed
Using Figma MCP to Accelerate Custom Product Design + Code
🧩 What We’re Solving
Most AI design tools break when the design system gets complicated. Auto-generated code becomes unusable, custom layouts need rewiring, and devs end up rewriting half of it anyway. Prototyping at scale? Still painfully slow.
📌 In this session:
We’ll show how FlytBase is using Figma MCP + AI-native workflows to dramatically reduce the time from design to deployment—without breaking system consistency.
💡 You’ll Learn:
Why conventional code generators fail with custom design systems and complex layouts
Setting up your Figma MCP for maximum consistency
Eliminating repetitive tasks and duplication in Figma
Integrating Cloud Desktop tools to bridge the design-development gap
Creating a seamless pipeline from custom design to high-quality, production-ready code
Real examples from FlytBase's design process showing before/after efficiency gains
🧠 Who This Is For:
Product Designers dealing with messy handoffs
Design System Managers scaling across teams
Front-End Developers looking to create a more efficient design-code pipeline
