Browsing: OReilly

The day two problemImagine you deploy an autonomous AI agent to production. Day one is a success: The demos are…

This is the second article in a series on agentic engineering and AI-driven development. Read part one here, and look…

Our previous article framed the Model Context Protocol (MCP) as the toolbox that provides AI agents tools and Agent Skills…

My first post made the case for what a semantic layer can bring to the modern enterprise: a single source…

Over the past six months, I’ve watched the same pattern repeat across enterprise AI teams. A2A and ACP light up…

Example architecture flow reverse-engineered by Claude CodeI have been using Claude Code for a variety of purposes, and one thing…

Evals are having their moment.It’s become one of the most talked-about concepts in AI product development. People argue about it…

The following article originally appeared on Addy Osmani’s Substack newsletter, Elevate, and is being republished here with his permission.When I…

There’s an open secret in the world of DevOps: Nobody trusts the CMDB. The Configuration Management Database (CMDB) is supposed…

The Model Context Protocol (MCP) is genuinely useful. It gives people who develop AI tools a standardized way to call…