Extended Reality
Practical guides on WebXR development, immersive applications, and open-source XR tooling — built on browser standards, self-hosted infrastructure, and sovereign technology.
Spatial UI & Design (July 2026)
Spatial UI & Interaction Design for WebXR — Design principles and implementation patterns for spatial interfaces: layout, typography, gestures, feedback, accessibility, and performance budgets.
Cross-Platform WebXR: Quest, Vision Pro, and Mobile — Progressive enhancement strategies for Meta Quest 3, Apple Vision Pro, mobile AR, and desktop VR: feature detection, input abstraction, rendering quality ladders, and CI/CD testing.
AI-Assisted XR Development with Modern Toolchains — AI-powered XR tooling: IWSDK, XR Blocks, vibe coding, MCP servers for Three.js, NVIDIA Gaussian splatting, text-to-3D asset generation, and automated testing.
WebXR Series (June 2026)
WebXR Hand Tracking — From Joints to Gestures — A practical deep-dive into the WebXR Hand Tracking API: joint positions, pinch detection, custom gesture recognition, and interaction patterns for immersive VR.
WebXR Anchors & Plane Detection — World-locked content with anchors, plane detection, persistent anchors across sessions, and robust placement UX.
WebXR Composition Layers — High-Performance Rendering — GPU-composited layers for video, UI, and background: projection, quad, cylinder, and equirectangular layers with XRMediaBinding.
WebXR Hit Testing & Depth Sensing — Ray intersection, transient hit tests, depth buffer reading, occlusion rendering, and mesh reconstruction for real-world interaction.
Building a WebXR App with Three.js — End-to-end guide from Vite scaffold to deployed production app: session lifecycle, controller input, teleportation, VR UI, and deployment.
AI + XR Integration Patterns — Practical patterns for integrating LLMs, VLMs, and neural networks with immersive XR environments: scene understanding, spatial assistants, neural rendering, and voice-first interfaces.
XR Performance: Real-Time Inference Optimization — Optimizing AI inference for XR devices: model quantization, NPU acceleration, hierarchical serving (device → edge → cloud), bandwidth optimization, and offloading frameworks for real-time 60fps rendering.