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Pitfalls and best practices for building 3D simulation frontends with AI

The author used AI (Opus) along with Three.js to build a 3D simulation frontend for the Singapore MRT. By reusing existing structured data, using artifacts for early visual decisions, and iterating on HUD design, you can significantly boost AI-driven frontend development efficiency.

Reddit r/vibecoding/u/sudonymio
three.jsOpus 5.5Claude CodeElevenLabs

Added 2026-10-31 · originally published 2026-10-28


Key points

  • Prepare digitized baseline data (such as station nodes and track data) before building a new project so you can easily extend them.
  • Have the AI use artifacts to preview visuals before writing code, making it easier to make visual decisions upfront.
  • Playtest and test the simulation yourself, continuously tweaking and fixing issues based on the actual experience.
  • Put real effort into designing the HUD interface, iterating repeatedly on button placement and status info layout to ensure it's intuitive.

Pitfalls

  • It's easy to overlook interactive intuitiveness when designing the HUD, and nailing down action buttons and status layouts often takes multiple iteration cycles.
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- Prioritize using existing structured data as a foundation.
- Leverage artifacts or visual prototypes to preview and confirm visual decisions before writing frontend or UI code.
- Carefully design the HUD layout to ensure interactive elements like action buttons and status info are intuitive and easy to use.
Copy-ready prompt
Help me build a 3D simulation frontend project using Three.js. The data source is [insert public data source or API]. Before writing any specific code, please use artifacts to present the visual design scheme and HUD (heads-up display) layout, including the placement of action buttons and information displays. Once confirmed, proceed with development. The project must run smoothly on both [desktop and mobile devices].
#AI Frontend#Three.js#Best Practices#UI Design
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Last updated 2026-11-02 12:11 (Beijing time)