Technical Reference | AI Engineering Playbooks

A practical relaunch plan to modernise Technical Reference into an AI-first engineering publication. Current site review Site is currently on a legacy Blogger layout ( Awesome Inc. theme), with old structure and low scannability. Most recent post is from December 2013. Archive is valuable but outdated for current engineering and AI workflows. Topic fit today should shift from ad hoc tips to systematic, production-grade AI engineering guidance. New positioning Technical Reference becomes: "A practical AI engineering reference for builders: agents, MCP, frameworks, security, ethics, and production operations." Target audience Engineers building AI-enabled products. Technical leads evaluating agentic architecture choices. Teams in regulated environments (including insurance). Makers shipping rapid prototypes and turning ideas into products. Pillars (content architecture) AI Agents and MCP in production. Framework and stack comparisons. AI security...

This site is now focused on practical AI engineering: agents, MCP, frameworks, security, ethics, and product delivery. If you are building with AI and need practical, implementation-first guidance, this site is for you. Technical Reference is now focused on modern AI engineering with one rule: Useful in production beats impressive in demos. What you will find here AI agent architecture and MCP integration guides. Framework comparisons that include trade-offs, not marketing claims. Security and ethics checklists for real delivery contexts. Vibe coding workflows with reliability guardrails. AI + insurance applied patterns. Idea-to-product execution playbooks. How to use this site Start with implementation guides. Use comparison posts to choose a stack. Apply checklists before release. Revisit trend posts as the ecosystem changes. Publishing rhythm Tuesday: technical implementation guide. Friday: strategic comparison, trend, or case-based post. What to re...