The AI train has left the station. Some of us are on board, generating entire modules from specs. Others are still on the platform debating whether the train is even real. Four smart people wrote about this shift this past week. They all agree on what it means. And I agree with them.
If software changes something in the real world, it’s a robot.
Looking back at 2025, one theme dominates: AI agentic programming went from novelty to necessity. This year transformed how I think about software development, career advice, and even my personal hardware projects. Here’s what I wrote about, what I learned, and what I expect in 2026.
I don’t like the term “vibe coding.” I strongly prefer “AI-assisted software engineering.” But regardless of what you call it, Gene Kim and Steve Yegge have written a book about it - and their journey from skeptics to true believers is the most interesting part.
There’s a lot of folks who are in outright denial about AI agentic programming. They are wrong. AND… they are right. My thoughts.
There’s no way to really understand something unless you dive into first principles. This is especially true for AI coding agents. What is the editor doing under the hood? I try to peel the onion a bit.
Reading time: 10 minutes
It’s brutally hard to find a job as a new college grad today. And AI is changing things even for seasoned Engineers. Here’s my advice.
The evolution of AI-assisted programming has reached a pivotal moment, transforming from simple code completion to truly collaborative AI agents. This shift represents not just an improvement in tooling, but a fundamental change in how software is developed.