The debate over designing in code versus a visual canvas is outdated.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

While powerful for generating assets internally, the tool currently struggles to integrate into existing workflows. Exporting to common formats like PowerPoint or Canva causes significant quality loss and errors, with HTML being the only reliable option, creating a workflow bottleneck.

The tool is positioned less as a Figma replacement and more as a 'missing half' for developers using Claude Code and a powerful asset for marketers who frequently interface with design but lack deep design skills. Its core audience is non-designers who need design capabilities.

Canva avoids competing with giants like OpenAI on foundational models. Instead, it partners with them for general tasks while focusing its 100-person research team on specialized models for core design problems, like its 'Magic Layers' feature, where no adequate external solution exists.

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 tool's default style leans heavily on a generic SaaS look with predictable fonts (Inter, Roboto) and gradients. To achieve a distinctive design, experienced users recommend explicitly banning these common elements in the initial prompt—a crucial, non-obvious tip for getting good results.

Canva views its AI as the third evolution of design interfaces. The first was pixel-based (e.g., Photoshop), the second was object-based (classic Canva), and the new era is concept-based, where users describe an idea and the AI generates an editable first draft.

The live test reveals a clear specialization among AI tools. While Claude Design excels at creating wireframes, high-fidelity designs, and pitch decks, its video generation is rudimentary ("a 5 on 10 at best"). This suggests users should employ a suite of specialized AI tools rather than one.

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.