In the last post, we pulled pretrained models from public hubs and got results fast. Great for demos. But when you’re running multiple projects, retraining variants, and handing models between teams, you need something sturdier: an internal model registry. Think of it as a single place to track what models you have, which data trained […]
Tag Archives: AI coding
Following up on our previous article, “The 75% Workforce Reduction Already Here: How Functional AI Pipelines Are Reshaping Work”, we received a wave of questions about how to actually train a computer vision model — not just automate one. This post answers that — with a high-level, practical example showing how to train a basic […]
The numbers are staggering. Across small and mid-sized companies, we’re now seeing a realized 75% reduction in workforce after implementing functional AI pipelines, with estimates climbing as high as 80–90%. This isn’t speculative. It’s happening today. Entire departments that once required teams of people are being compressed into streamlined AI pipelines that run in real […]
At Subdomain Systems LLC, we’ve always believed in building smart, scalable AI solutions that help businesses not just keep up, but leap forward. Today, we’re proud to share some good news:Our client backlog is officially full. This means we’re temporarily pausing new client intake to focus on delivering exceptional results to the companies that have […]
Let’s get the uncomfortable truth out of the way: If you’re a human coder, your days are numbered. No, the machines aren’t coming for your job—they’re already here. And they’re not asking politely for a seat at the table. They’re rewriting the entire menu. From Code Monkeys to Code Architects For decades, being a coder […]






