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Some of the most dangerous native failures are produced by programs that appear to be working correctly. The cryptographic operation returns the right
A few months ago I was sitting in a convention center about to deliver a keynote at an event, watching my Oura Ring throw up the same heart rate patte
This book is a capability-led field guide to the architectures that make modern AI agents actually work. It includes code, failure modes, and illustra
High-level machine learning libraries like PyTorch and TensorFlow make training intelligent agents straightforward, but relying on modern frameworks o
I maintain my own website, and every now and then I upgrade the site to a new version. And I frequently experiment with different technologies and arc
A website can look polished, work perfectly with a mouse, and still be difficult for some people to use. A form might use colour as the only indicatio
Earlier this year, I published Decoupling Material and Cupertino in Flutter, which covered what was then a preview feature: Flutter's plan to separate
In this tutorial, I’ll show you how to scale LLM inference for AI agents using vLLM. I'll help you build an intuition for how LLM inference works, exp
You ask a coding agent for a new endpoint, and ninety seconds later you have a working endpoint. Then you read the diff, and you find that it pulled i
A trading research agent can write strategy code, run a backtest, inspect the results, and keep revising the strategy. The harder problem is making su
I can recall the time when I first put on the Oura Ring and checked my readiness score the next morning as if I were checking an exam score. I saw som
I have seen legacy migrations considered successful because the old framework disappeared from the repository. Six months later, the team was still de
Building AI agents with raw LLM SDKs works fine for prototypes until you need structured outputs, testable code, and production reliability. The gap s
You've seen it a hundred times: the Wi-Fi drops, Chrome shrugs, and a little pixelated T-Rex appears, ready to sprint through a desert the moment you
Today, diffusion models have become one of the most influential families of generative AI systems. They power applications ranging from image synthesi
When your AI agent serves more than one person, every tool call must answer: who's the agent acting for? Let's learn how to solve this by building an
Causal inference for LLM-based AI features is no longer theoretical. Airbnb, Netflix, Lyft, and Uber have published detailed engineering blog posts de
Picture this: it's 4pm on a Friday, and your team has just merged the last feature for the sprint. But your product manager asks for a new build on Te
Your AI product shipped an agent-mode opt-in six months ago. You ran a propensity analysis, adjusted for engagement tier and query confidence, and rep
In 2022, I built a small micro-SaaS in my spare time and eventually sold it for a few thousand dollars. And today, with AI tools, it probably would've