I design with Claude more than Figma now

Original Article ↗ Hacker News Discussion ↗

Use of Claude/LLMs for UI Design & Prototyping

  • Many commenters now use Claude Design / Claude Code (and similar tools) to generate frontends, wireframes, and working prototypes, often before or instead of Figma.
  • Common pattern: prototype in code with an LLM, then refine visually in Figma or an existing design system.
  • Some team workflows: designers/product generate interactive prototypes with LLMs, engineers later re‑implement “for real,” using prototypes as living proposal docs.

Prompting, Creativity, and Generic Outputs

  • Without detailed aesthetic direction, models default to safe, trope-heavy designs (Tailwind/Bootstrap clones, “boarding pass” travel UIs, etc.).
  • Users report more originality when they:
    • Provide unconventional reference sites or UI examples.
    • Specify fonts, layout constraints, and brand/style cues.
  • Even then, outputs often feel visually similar and struggle with layout boundaries (e.g., overlong slides).

Impact on Workflow, Roles, and Specs

  • Some designers/PMs feel empowered to “vibe code” UI and logic, reducing reliance on engineers for early iterations.
  • Frontend engineers report new burdens:
    • Reviewing messy AI-generated PRs.
    • Distinguishing intended behavior from accidental “slop.”
    • Dealing with fewer written specs and more reverse‑engineering of prototypes.
  • Others like that prototypes make requirements more concrete than verbal/text specs alone.

Quality, Maintainability, and Risk

  • Several engineers compare LLM output to a junior dev: useful, but full of hidden bugs, missing edge cases, and wrong assumptions.
  • Pushback against treating LLMs as a “higher abstraction layer” like compilers, since output isn’t deterministic or reliably correct.
  • Concern that non‑technical stakeholders will think prototype code is “95% done” and demand quick productionization, underestimating robustness, security, and data‑integrity work.

Broader Attitudes Toward AI & Tools

  • Split sentiment:
    • Enthusiasm about faster iteration, infinite patience for tweaks, and enabling small orgs or NGOs to replace overpriced contractors.
    • Skepticism about hype, “cult-like” inevitability narratives, and corporate marketing (including from trading firms invested in AI).
  • Some see AI as particularly well-suited to disposable UI, images, and low‑risk web pages; others worry it erodes deep thinking and design rigor.
  • Discussion touches on Figma’s future, perceived weak AI features there, and early signs of pressure on traditional design and website-building tools.