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Threenix gives AI coding agents focused workflows for Three.js, React Three Fiber, WebGPU, and TSL. Review, optimize, simplify, and build from proven patterns instead of starting from scratch.

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Explore the Components

Add Fast Text

Add the canonical fast-text component to the user's existing scene without copying the Threenix demo.

Workflow

  1. Read the target repository's instructions and inspect its package manager, dependencies, Canvas import, renderer, scene composition, and postprocessing.
  2. Confirm the scene uses @react-three/fiber/webgpu and provides useLocalNodes and useUniforms. The component also requires the browser Canvas 2D API. If those requirements are not met, stop before editing; migrating WebGL to WebGPU is out of scope.
  3. Call the get_component_reference tool from the threenix MCP server with { "slug": "fast-text" }. If the tool or authentication is unavailable, stop and explain the problem; do not reconstruct the reference from local or bundled sources.
  4. Choose one destination root near the target scene. Write only the returned files[] beneath it at each relative path: write utf-8 content verbatim and decode base64 content. Never flatten or rename returned paths because the component imports its canvas hook relatively.
  5. Follow the returned integrationNotes and render FastCanvasText inside the existing WebGPU Canvas. Preserve the target's Canvas, camera, renderer, scene, controls, and postprocessing; do not copy the demo, bloom setup, Leva controls, or background.
  6. Install only returned dependency names absent from the target manifest, pinned to the returned versions and using the existing package manager. Do not replace existing version ranges or add demo-only dependencies.
  7. Run the narrowest type-check or build covering the edited scene and report any unresolved WebGPU API or version incompatibility.