The C compiler compiled itself. We have been bootstrapping for fifty years. AI just gave the loop a fast enough clock that building the system that builds the system finally compounds inside a single career.
Stop Building Systems. Build the System That Builds Them.
We have always measured engineering orgs by what they ship. That was a proxy. The real asset is the loop that produces it — and AI just changed its clock speed.
Ideas Were Never Cheap. Execution Just Got Free.
For most of a founder’s career, the most expensive thing they owned wasn’t money — it was patience. AI just refunded the tax, and that inverts the oldest cliche in startups.
20 Years of liviutudor.com: From ‘New Error’ to AI Era
Twenty years ago, a blank WordPress editor blinked at me. I typed something about “the dawn of a new era” and then immediately bracketed it with a joke: “(or maybe I should spell it as ‘the dawn of a new error’ ?)”. I had no idea how prophetic that would turn out to be. Not […]
Agents, MCP, and what a 19-hour build changed about how I think
The Calendrz Smart Scheduler went from first commit to default-enabled in production in 19 hours. Here’s the architecture — manual agent loop, 13 scheduler tools mirroring 30 MCP tools, prompt caching on two breakpoints — and the meta-story about AI-assisted coding compressing what used to be a sprint into a day.
Voice + MCP: The Interface That Finally Kills the Dashboard
In my previous post, I argued that UIs are becoming optional: that MCP turns your AI assistant into an IDE where every product is just a plugin. But that post still assumed you’re sitting at a keyboard, typing prompts into a chat window. Take the keyboard away. Now what? Voice changes the equation entirely. MCP […]
UIs Are Becoming Optional — MCP and the End of the Dashboard Era
For decades, the way we interact with software has followed the same pattern: someone builds an interface, and we learn to use it. We click buttons, navigate menus, fill out forms. Every new tool means a new UI to master, a new set of conventions to internalize, a new cognitive load to carry. That era […]
The AI-Native Product: What Happens When You Design for AI Consumers First
There’s a category of product emerging that I think deserves its own label: the AI-native product. Not “AI-enhanced” — a product that bolts on a chatbot or sprinkles some ML recommendations on top. Not “AI-powered” — a product whose core engine is a model. I mean something different: a product that was designed from the […]
Buy vs Build in the Age of AI: The Calculus Has Changed
The “buy vs build” debate is as old as the software industry itself. For decades, the default answer for most teams has been “buy”, and for good reason. Building software is expensive, slow, and unpredictable. Off-the-shelf solutions, while imperfect, get you to market faster and let you focus on your core business. But something has […]
Building a Privacy-First Product with AI as Your Engineering Partner
There’s a tension at the heart of building products with AI that nobody talks about enough: AI is fundamentally about sharing and connecting data, but some of the best products are built on the principle of not sharing data. Calendrz, the calendar mirroring tool I’ve been building, is one of those products. Its core promise […]
