Browsing: OReilly

This post was originally published on The Nuanced Perspective and is being reposted here with the authors’ permission.Agent skills are…

As enterprise AI agent adoption scales, the absence of centralized, organization-level tool infrastructure is producing compounding costs. When adoption is…

The following article originally appeared on Jennifer Pahlka’s Eating Policy website and is being republished here with the author’s permission.I…

The current conversation about AI in software development is still happening at the wrong layer.Most of the attention goes to…

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…