27+ years of solving enterprise infrastructure problems. 200+ deep technical articles. 300,000+ words (nearly 4 PhD dissertations). One of only three people in the world to hold every major EUC vendor community award simultaneously. Written by someone who builds this stuff at Fortune 500 scale, not someone who writes about it from the sidelines.
AI coding assistants degrade mid-session and nobody warns you. The degradation is architectural, not motivational. Telling it to try harder does nothing. Here is the enforcement system that makes garbage structurally impossible.
Hand an AI agent a codebase and tell it to fix things, and it'll happily report back that everything is done. The hard part isn't getting an agent to work autonomously. It's getting one that can't fool you into thinking it finished when it didn't.
I spent months hand-rolling a knowledge layer for my AI agent stack. Google just shipped a format that formalizes the exact same pattern. Markdown files, YAML frontmatter, cross-linked docs. Here is why that matters for anyone building with agents.
I've been telling people for the last year that AI lets you build at the speed of thought. I mean that literally, not as a marketing line. Whatever idea pops into your head, you can have a working version of it in an evening. Not a prototype. A working version. The catch is that it doesn't matter how smart the AI gets if your setup is wrong.
Your teams are about to connect AI agents to your production systems. Here's what you need to understand, what questions to ask, and how to govern it.
Claude Code with MCP servers is the most productive workflow I've ever used. Here's how to set it up and why it changed everything.
AI coding agents, MCP servers, enterprise AI deployments, and the reality of shipping AI in production.
Explore →End-user computing, Citrix, Microsoft, VMware, VDI, DaaS, and how humans interact with enterprise technology.
Explore →Where AI capability meets enterprise reality. Governance, deployment, and Fortune 500 strategy.
Explore →Zero trust, identity, FIDO2, AI agent security, and the unified security model.
Explore →Public cloud, hybrid, AI infrastructure, GPU compute, and cloud-native deployment.
Explore →Jason Samuel has spent 27+ years in enterprise technology, taking incredibly complex problems and making them simple. Fortune 500 companies, five continents, and a track record of getting things done. No buzzwords, no vendor spin.
Full bio →27+ years. 200+ articles. 1,000+ reader discussions. Enterprise IT knowledge you can trust. No fluff, no vendor spin. Just what actually works.
