Emil Sjölander
Designing the Future of Human<>Agent Collaboration
#1about 4 minutes
Figma's evolution into a product development platform
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.
#2about 2 minutes
The core beliefs behind building great products
The best products are built through extensive iteration and by collaborative teams that include diverse roles from the very beginning.
#3about 2 minutes
Understanding AI agents as collaborative assistants
AI agents should be viewed as active collaborators and assistants that augment human skills like critical thinking, not as replacements for team members.
#4about 5 minutes
Using AI for rapid ideation with Figma Make
Figma Make allows teams to go from a simple prompt to a functional, code-backed prototype, enabling the exploration of hundreds of ideas quickly.
#5about 8 minutes
Bridging prototypes and production with Figma MCP
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.
#6about 2 minutes
How the MCP server provides context to LLMs
The MCP server feeds LLMs crucial context including design system patterns, component references, image data, and pseudo-code to generate accurate UI.
#7about 3 minutes
A walkthrough of the design-to-code workflow
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.
#8about 3 minutes
The developer's evolving role in the age of AI
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.
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