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Casberry India's AI Particle Simulator generates WebGL particle systems for 20,000-unit swarms by prompting Claude or Gemini under strict zero-allocation constraints.
What: Casberry India released an AI Particle Simulator that renders 20,000-particle 3D swarms at 60fps using WebGL. Developers prompt AI models (Gemini or Claude) to generate particle movement code under strict constraints: zero garbage collection per frame, no object allocation, no DOM/network access, and finite coordinates only. Includes gesture controls (open palm zoom, peace sign speed), live parameter sliders, and export to React, Three.js, and 3D formats (PLY, GLB, OBJ).
Why it matters: Demonstrates LLMs being used for creative coding in heavily constrained environments—the approach makes low-level WebGL performance optimization more accessible by having AI generate code that must pass security validation and run 1.2 million times per second (20k particles × 60fps) without allocating memory.
Decoder
- PLY/GLB/OBJ: 3D model file formats—PLY (Polygon File Format) stores point clouds or meshes as vertex lists, GLB is the binary version of glTF (GL Transmission Format) used for web 3D, OBJ is a simple text-based mesh format from Wavefront.
Original article
Casberry India offers an AI Particle Simulator that creates professional 3D swarm simulations with up to 20,000 particles, controlled via neural navigation and gesture controls. Users can generate custom simulations using AI models such as Gemini and Claude while adhering to strict performance and security guidelines to ensure stable execution.
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