performance-at-scale

Spatial indexing organizes components in 3D space using hash grids or octrees, enabling fast proximity queries without checking every object. This Skill provides both structures—use hash grids for uniform distributions and octrees for clustered worlds—to manage thousands of pieces efficiently in Three.js applications.

Chunk streaming loads and unloads regions based on proximity to the camera or player, reducing memory and render overhead. This Skill includes a chunk manager with serialization hooks and loading/unloading integration that automatically handles visibility culling and LOD transitions.

Yes. Spatial data structures like hash grids and octrees partition large builds into queryable regions, and chunk streaming keeps only nearby geometry active. This Skill provides patterns proven for thousands of components while maintaining consistent frame rates through profiling tools and rendering pipeline integration.

Hash grids divide space into uniform cells, ideal for evenly distributed objects and fast lookup. Octrees recursively subdivide space into eight regions, better for clustered or variable-density worlds. This Skill includes both; choose based on your object distribution and query patterns.

This Skill provides benchmarking tools and profiling hooks integrated into the chunk manager and rendering pipeline, letting you measure query latency, memory usage, and frame time impact of different spatial structures before deployment.