Domain-Specific Models: The Shift from General to Specialized AI in 2026

In early 2024, the mantra for developers was “bigger is better.” We reached for the largest, most general-purpose models for every task—from writing code to summarizing medical records. But as we move through 2026, the industry has undergone a massive correction. The trend today isn’t toward Larger Language Models, but toward Domain-Specific Models (DSMs). Developers are increasingly realizing that a 7B parameter model fine-tuned for a specific vertical often outperforms a 1T+ parameter general model in accuracy, latency, and—most importantly—cost. ...

February 21, 2026 · 3 min · Chen Kinnrot

The Hidden Cost of 'Just One More Dependency'

We’ve all been there. You’re working on a feature, and you need to parse some weirdly formatted date or handle a complex file upload. Your first instinct? npm install or bundle add. It feels like winning. Someone else already solved this problem! Why should I reinvent the wheel? The “Free” Wheel But here’s the thing: every dependency you add is a liability. It’s code you didn’t write, but code you now own. You own its bugs, its security vulnerabilities, and its breaking changes when it decides to “improve” its API. ...

February 11, 2026 · 2 min · Chen Kinnrot