Scaffolding Over Horsepower: Subagents, Skills, Hooks, and MCP
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.
Volume 01
A continuous record of technical discoveries, engineering reflections, and notes from the edges of the modern web.
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.