What Rust's +simd128 Actually Changed in My WebAssembly
Rust's +simd128 produced 205 static SIMD instructions in my aggregate module, with none in the Welford loop I measured.
Volume 01
A continuous record of technical discoveries, engineering reflections, and notes from the edges of the modern web.
Rust's +simd128 produced 205 static SIMD instructions in my aggregate module, with none in the Welford loop I measured.
vizcrush launched with its three loudest performance claims deleted. What measuring WASM SIMD, cross-engine WASM, and WebGPU compute actually showed.
I argued that the structure of an agent run beats its length. Then I built a tool to measure it, and won't ship it until the central claim is proven. Here's the build, and the gap.
A working developer's guide to subagents, skills, hooks, and MCP. And the discipline of adding a block only when you can name the failure it prevents.
When AI writes the code, the reasoning that produced it never exists anywhere except in a transient context window. A two-session pattern (a long Workshop to build the design, and a series of fresh Cold Reads to test it) moves accountability back where it belongs.
Picking BFF and RSC strategies by traffic, modeling API dependencies as DAGs for parallel fetching, and knowing when to extract a separate BFF service from your Next.js app.
The shift from conversational to agentic interfaces, and what it means for frontend architecture.
A practical guide to debugging LLM agents, with structured logging utilities, trace visualization components, and replay infrastructure you can steal for your own projects.
Learn how to build browser-based AI agents that run entirely on the client side using WebAssembly. This guide covers implementing a RAG system with local LLM inference for private, offline-capable applications.
Stop writing forms by hand. Learn how to auto-generate type-safe forms from your validation schemas using Zod or TypeBox, and discover which approach fits your project best.
Building a 50K particle physics system that progressively layers WASM, SIMD, and Web Workers on top of Three.js. Real benchmarks, real code, real trade-offs.
A benchmark-driven comparison of JavaScript vs WebAssembly for WebGL workloads. We tested particle systems, mesh generation, and physics simulation across 1K to 1M elements. The results were not what we expected.