The debate over designing in code versus a visual canvas is outdated.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.

A key reason Figma won was its cloud-based, real-time collaboration. The trend of using local AI dev tools (like Cursor) is a step backward in this regard, reintroducing friction around sharing work and getting feedback, the very problems that led designers away from local files in the first place.

AI's primary impact on design isn't just making it accessible. For experts, it's a tool to rapidly explore a vast space of creative possibilities. This allows them to sample far more options and apply their taste and intentionality to a much broader canvas than was previously possible.

The handoff between AI generation and manual refinement is a major friction point. Tools like Subframe solve this by allowing users to seamlessly switch between an 'Ask AI' mode for generative tasks and a 'Design' mode for manual, Figma-like adjustments on the same canvas.

As AI accelerates software development, basic functionality becomes table stakes. Figma's CEO contends that differentiation and winning now depend entirely on design, craft, and a strong point of view, as 'good enough' products will no longer succeed.

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.

Many aspiring creators quit because their creative taste exceeds their technical skill, causing frustration. Figma's CEO suggests AI's most exciting potential is bridging this gap. It allows creators to rapidly generate and sample the possibility space, helping them achieve their vision almost instantly and overcome the initial skill barrier that stifles creativity.

Figma's CEO argues that while agentic coding systems are powerful, they risk being too linear. True product innovation requires exploring a wide option space through design, using systems and components to ensure a cohesive user journey. Relying solely on code generation can lead to a suboptimal product, even if it's built quickly.

Prompting AI for code changes is an inherently solo activity. By importing code into Figma, teams can leverage its native multiplayer features. This allows for real-time, parallel collaboration and ideation that is impossible to replicate in a single-user IDE environment.