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.

AI-powered "vibe coding" is reversing the design workflow. Instead of starting in Figma, designers now build functional prototypes directly with code-generating tools. Figma has shifted from being the first step (exploration) to the last step (fine-tuning the final 20% of pixel-perfect details).

Designing AI experiences in Figma is misleading because it only captures the ideal "golden path." Prototyping in code with live AI models is essential to understand and design for latency, errors, unexpected responses, and the true user "feel" of interacting with an unpredictable system.

Historically, design workflows moved from low-to-high fidelity due to tool constraints. AI tools like Codex remove these barriers, allowing designers to begin with functional wireframes in code for immediate interaction testing, bypassing static sketches.

AI makes iterating in code as inexpensive as sketching in design tools. This allows teams to skip low-fidelity wireframes and start with functional prototypes, blowing up traditional, linear development processes and reinventing workflows daily.

AI removes the dependency on engineering for prototyping. Designers can now build high-fidelity demos themselves, allowing them to visualize and sell an idea to stakeholders much faster without having to persuade a developer to join their journey first.

Instead of static mockups, prompt an AI to create a single HTML file containing multiple interactive UI options. This allows designers to quickly test and compare complex elements like animations or hover states, providing a faster and more tangible feedback loop for UI development.

With advanced AI coding tools and a robust design system, Snap's engineers build functional prototypes so quickly that the traditional design-first workflow is inverted. Instead of waiting for Figma mock-ups, teams now build and show working code to decide which ideas win.

AI development tools have radically compressed the product design cycle. Instead of presenting wireframes or mockups, teams can now arrive at initial stakeholder meetings with fully functional, data-connected demos, dramatically accelerating the feedback loop and decision-making process.