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 Archive is valuable but outdated for current engineering and AI workflows.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...

A practical control checklist for securing MCP servers across identity, tool boundaries, data handling, and auditability. Treat MCP servers as privileged integration surfaces, not simple helper services. Enforce identity, scoped permissions, input validation, and full audit trails. Use a release gate that blocks deployment until critical controls are verified. MCP can accelerate agent integration, but it also expands your attack surface. If your server can read internal documents, call business APIs, or trigger workflows, it is effectively a privileged control plane. This checklist is designed for engineering teams that need to move quickly without creating avoidable security debt. Prerequisites A clear inventory of MCP tools and connected systems. A named owner for security decisions. Basic logging and metrics in place. Environment separation for development, test, and production. 12 production controls 1) Explicit trust boundary Document what the MCP server m...