Vibe Coding Three.js

The single biggest factor in vibe coding results is the model. The gap between the best and worst frontier models on Three.js tasks is not subtle — it is the difference between a lit, animated, interactive scene and a black screen with console errors. Model quality also shifts with every release, so recommendations go stale in weeks.

That is why we run a live benchmark: every major model, scored on the same real Three.js tasks — scene setup, materials and lighting, shaders, animation, and interactivity — with runnable demos for every run.

“Make a cool 3D scene” produces generic results. What works is a brief: subject, camera, lighting, mood, and interaction, stated concretely. Constraints help more than freedom — pin the Three.js version, say whether you want a single HTML file or an npm/Vite project, and name what must not be used (no CDN, no external models, no React) when that matters.

• Anchor the setup: renderer, camera type, controls, and canvas sizing in the first prompt — retrofitting them later breaks scenes.
• One feature per iteration: add the moat, then the drawbridge. Batched requests degrade all of them.
• Feed errors back verbatim: paste the console error, not a paraphrase of it.
• Ask for parameters: “expose fog density and bloom strength as constants” makes tuning by feedback dramatically faster.

We keep a library of prompts proven to generate working scenes, shaders, and game mechanics — copy-ready, with the model and output they were tested on.

1. Start in one file. A single HTML file with an import map is the fastest feedback loop — save, refresh, judge. Move to Vite only once the scene stabilizes and you want modules and assets.
2. Get a walking skeleton first. Renderer, camera, one lit object, animation loop, resize handler. Every later prompt builds on a scene you have already seen work.
3. Iterate visually, in small steps. Describe what looks wrong the way you would to another person: “the towers are too thin, the light is too clinical, everything floats above the ground.”
4. Use agent skills for the hard parts. Coding agents (Claude Code, Cursor) with a Three.js skill file loaded make far fewer API mistakes on shaders, WebGPU/TSL, and post-processing — see our AI skills collection.
5. Generate assets with AI too. When primitives are not enough, AI 3D model generators like 3D AI Studio produce glTF assets you can drop into the scene — more in our tools directory.

• Version drift: models mix API eras (deprecated geometry classes, old lighting units). Pinning the Three.js version in the prompt fixes most of it.
• Performance: AI-generated scenes rarely instance or dispose. Once it looks right, one dedicated “optimize draw calls and memory” pass pays off.
• Custom shaders: the weakest area for most models — this is where benchmark scores diverge hardest, and where learning TSL yourself beats reprompting.
• Big refactors: AIs are great at adding and terrible at restructuring a 2,000-line scene file. Ask for modules early.