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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.

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The debate over designing in code versus a visual canvas is outdated. The modern workflow isn't about choosing one, but fluidly moving between both tools based on the task: canvas for broad exploration and code for deep, interactive prototyping.

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).

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 coding agents enable "vibe coding," where non-engineers like designers can build functional prototypes without deep technical expertise. This accelerates iteration by allowing designers to translate ideas directly into interactive surfaces for testing.

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 creating static mockups in Figma, Cursor's design team prototypes directly in their AI code editor. This allows them to interact with the "life states of the app" and get a more realistic feel for the product, bridging the gap between design and engineering.

At OpenAI, the development cycle is accelerated by a practice called "vibe coding." Designers and PMs build functional prototypes directly with AI tools like Codex. This visual, interactive method is often faster and more effective for communicating ideas than writing traditional product specifications.

AI co-pilots have accelerated engineering velocity to the point where traditional design-led workflows are now the slowest part of product development. In response, some agile teams are flipping the process, having engineers build a functional prototype first and then creating formal Figma designs and UI polish later.

Designers have historically been limited by their reliance on engineers. AI-powered coding tools eliminate this bottleneck, enabling designers with strong taste to "vibe code" and build functional applications themselves. This creates a new, highly effective archetype of a design-led builder.

The pendulum is swinging back from specialized design and engineering roles. With AI tools like Codex, designers can now build functional prototypes themselves, blurring the lines and bringing the industry closer to the early days where most designers also coded.