Vercel's Pranati Perry explains that tools like V0 occupy a new space between static design (Figma) and development. They enable designers and PMs to create interactive prototypes that better communicate intent, supplement PRDs, and explore dynamic states without requiring full engineering resources.

Production code often evolves past design files, creating workflow friction. Figma's MCP tool uses AI to pull live application states directly into design files and push updates back to code, creating a synchronized source of truth.

The key to high-quality, editable vector graphics (SVGs) from AI is to treat them as code. Instead of tracing pixels from a raster image, Quiver AI's models generate the underlying SVG code directly. This leverages LLMs' strength in coding to produce clean, animatable, and easily modifiable assets.

A key advantage of using tools like Claude Code for visual generation is the ability to output graphics as SVG files. This solves a major AI workflow issue, allowing designers to easily import, deconstruct, and refine AI-generated elements in Figma.

The debate between canvas-based and code-based design tools is a false choice. A canvas is an interface (a medium) while code is a foundation (a base). The future is a canvas that is directly anchored to and manipulates code, combining the benefits of both.

Documenting every UI state is tedious for designers. Now, engineers can use an AI agent to parse the live codebase and automatically export all existing states (e.g., all five steps of a signup flow) directly into a Figma file for designers to review and refine.

Traditionally, designers needed to understand code limitations to create feasible UIs. With tools that render a live DOM on the canvas, this is no longer necessary. If a design can be created in the tool, it is, by definition, valid and buildable code.

The primary benefit of Figma MCP over using screenshots for code generation is its ability to automatically access all necessary design assets like icons and images. This prevents a tedious back-and-forth process where the AI would otherwise have to request each asset individually from the user.

Notion built a `/figma` command that enters a "verification loop." It uses multi-modal tools to open the browser, visually compare its coded implementation to the original Figma file, and automatically iterate on the code until it matches. This moves beyond simple generation to a self-correcting system.