Deep-dive technical blueprints, case studies, and production patterns spanning Local RAG systems, AI agents, zero-JS web architecture, and resilient distributed backends.
A deep dive into why I chose Astro over Next.js and traditional SPAs for my engineering portfolio: Islands Architecture, zero JavaScript runtime overhead, typed content collections, and 100/100 Core Web Vitals.
How software engineers can bridge the gap to AI engineering without a machine learning PhD: mastering non-deterministic APIs, vector indexing, local RAG architectures, and evaluation-driven development.
A comprehensive, practical architecture guide demystifying Large Language Models: comparing prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning, alongside tool use, LangChain workflows, and when to avoid autonomous agents.