A practical roadmap to learn agentic engineering

A lot of engineers want to learn agentic engineering now. I think many of them are starting from the wrong end. They jump straight into MCP, multi-agent systems, autonomous workflows, and every shiny demo on X. It looks exciting and also feels like the future. But for most engineers, that is not the right place … Continue reading A practical roadmap to learn agentic engineering →

AI adoption is not AI maturity

I used to think the hard part was getting people to use AI. Now I think that is only the first step. AI is becoming part of how we write, build, research, design, analyze, and operate. That is a good thing. I use AI heavily myself, and I believe it can meaningfully increase the leverage … Continue reading AI adoption is not AI maturity →

Why does MCP matter? A Deep Dive for Engineers

Everyone's talking about MCP (Model Context Protocol) and how it's supercharging workflows in tools like Claude Desktop, Cursor, and other desktop apps. And yeah, the integrations with desktop environments are cool. But honestly, MCP is way more than just these integrations for desktop applications. You’ve probably seen folks compare MCP to USB-C for AI. It’s … Continue reading Why does MCP matter? A Deep Dive for Engineers →