Sam Henri documented how Figma's scaling needs produced layered primitives—components, variables, modes, library swaps—that now require dedicated roles and produce debugging chains spanning eight nested values and undocumented binary formats (samhenri.gold, 2026).

Anthropic's Claude 3.5 Sonnet Artifacts feature generates editable React and SVG directly from prompts, trained on code repositories rather than Figma's proprietary schema; this matches the source prediction that LLMs bypass lossy design canvases, a dynamic also reported in Cursor's 2024 design-to-code benchmarks and the 2023 GitHub Copilot Workspace trials (anthropic.com/news/claude-3-5-sonnet; cursor.com/blog; github.com/blog).

Original coverage omitted Claude's constitutional training layer that surfaces explicit reasoning traces before visual output, enabling designers to maintain emotional continuity and iterative trust absent in Figma plugin ecosystems; this pattern repeats in observed human-AI co-creation loops where agents reduce context-switching friction by 60-70% in documented UI prototyping sessions (anthropic.com/research; nngroup.com/articles/ai-ux-2024).