Figma has grown from a design tool to a full platform where developers are a primary audience, closing the loop from idea to shipped product.
The best products are built through extensive iteration and by collaborative teams that include diverse roles from the very beginning.
AI agents should be viewed as active collaborators and assistants that augment human skills like critical thinking, not as replacements for team members.
Figma Make allows teams to go from a simple prompt to a functional, code-backed prototype, enabling the exploration of hundreds of ideas quickly.
The Figma MCP server provides design intent and context to AI coding assistants, enabling them to generate production-ready code that uses your existing codebase's abstractions.
The MCP server feeds LLMs crucial context including design system patterns, component references, image data, and pseudo-code to generate accurate UI.
A demonstration shows how to copy a link from a Figma selection and use it within an AI-powered IDE like Cursor to implement the design directly into the codebase.
AI tools shift the developer's role from pure implementation to problem-solving and orchestrating agents, using the time saved to iterate more and build better products.
39:11Thomas Dohmke
24:22Philipp Schmid
29:03Jörg Neumann
27:12Ryan J. Salva
27:43Anu Bharadwaj & Tobias Schlottke
23:33Oliver Will
28:09Ming Wu, Alexander Birke, Benjamin Perlzweig & Emmanuel Viale
30:38Thomas Pamminger & Kris Rasmussen
Jobs that call for the skills explored in this talk.
Conrad Electronic SE
Deutsches Medizinrechenzentrum GmbH
Virtual Identity AG