Deep technical guides with real code, real architecture decisions, and real trade-offs. Every article connects to hands-on practice.
A production-minded guide to streaming AI chat interfaces covering transport, buffering, cancellation, error recovery, and trust cues.
A practical ADR template for frontend engineers, plus examples that show how strong decision records improve architecture and influence.
A practical async guide for frontend engineers dealing with retries, streaming, cancellation, and rate-limited AI APIs.
A practical guide to closures that goes beyond interview trivia and into stale state, cleanup, and memory behavior.
A practical guide to running TensorFlow.js and Transformers.js models in the browser — model loading strategies, Web Worker inference, quantization trade-offs, and device-aware degradation.
Understand embeddings from first principles, then build vector search entirely in the browser using Transformers.js, cosine similarity, IndexedDB, and Chrome AI APIs.
How tool-calling agents work, the ReAct reasoning loop, when to use agents vs chains, and how to design approval gates and rollback for production agent systems.
How to design a multi-stage content moderation system that combines client-side pre-screening, server classification, and human review with transparent, trustworthy UX.
How to use structured output, schema-constrained generation, and extraction pipelines to turn unstructured text into typed form data with confidence scoring.
A frontend-first introduction to retrieval-augmented generation, with practical architecture choices and evaluation ideas.
A practical event loop guide for frontend engineers building streaming, async-heavy, AI-powered interfaces.
A frontend-first guide to the five AI product patterns that are becoming standard, and how to decide which one fits your app.