How I Would Build an Enterprise AI Shared Services Capability If I were asked to stand up an enterprise AI shared-services capability, I would not start with autonomous agents, MCP gateways, or a giant platform program. I would start with the engineering teams. Step 1: Raise the Team Baseline If the organization has standardized on Claude, then teams first need to learn how to use it well. That means more than prompting. Teams need to understand how to work from the repositor

Industry Landscape · June 2026 Intent-Driven Engineering: Who’s Building in This Space and Where It Started The idea that intent should precede implementation is gaining serious traction in 2026. Here’s an honest look at the players, the timelines, and what makes each approach different. Mark Kendall · Principal Engineer · LearnTeachMaster.org Something is happening in software engineering right now that doesn’t happen often: multiple practitioners across multiple continents

The Industry Is Measuring Engineering Performance Wrong For years, organizations have tried to measure software engineering productivity using metrics that were already flawed long before AI entered the picture. Lines of code. Story points. Pull request counts. Velocity charts. Hours logged. Ticket completion rates. But modern engineering has changed. And the arrival of AI-assisted development has accelerated that change dramatically. The Old Measurements No Longer Reflect Re

Only the Best Will Realize What Just Happened For years, the technology industry focused on tools. New frameworks. New languages. New cloud platforms. New APIs. New abstractions. But something fundamentally different has now arrived — and many people still do not fully understand it. The breakthrough is not simply AI-generated code. The breakthrough is accelerated thought. What Just Changed? We are entering a phase where engineers can think with systems instead of merely usin