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 something like 62 and I really started to panic. Was

A trading research agent can write strategy code, run a backtest, inspect the results, and keep revising the strategy. The harder problem is making sure that this loop doesn't turn into an uncontrolle

Discord bots can look surprisingly complicated when you see them in action. A bot can respond to messages, tell stories, remember parts of conversations, and stay online around the clock. When I first

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 in a validation library that's not in your package.

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, explore why agent workloads create GPU scheduling and

Whenever you see a query nested inside another query in SQL, that's a subquery. A subquery is also known as an inner query while the one that contains it is called the main or outer query. Subqueries

Earlier this year, I published Decoupling Material and Cupertino in Flutter, which covered what was then a preview feature: Flutter's plan to separate the Material and Cupertino design libraries from

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 indication that something went wrong. A sticky header might

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 architectures while doing so. Recently, I faced an is

React is great at many things. But if you've ever tried pushing thousands of data points per second through it, you'll quickly learn that React isn't a firehose. It's more like a garden hose. Try forc

High-level machine learning libraries like PyTorch and TensorFlow make training intelligent agents straightforward, but relying on modern frameworks often hides the complex mechanics working under the

Learning Data Structures and Algorithms (DSA) often feels like facing an challenging wall of complex jargon, syntax, and heavy mathematics. But don't worry because we just posted a course on the freeC

Building a basic AI demo with a single completion prompt and simple RAG pipeline is easy, but taking agentic systems into production requires robust system design, reliability engineering, and failure

Cloud computing has changed how organisations build, deploy, and scale applications. Businesses can launch new services in minutes, expand into new markets, and reduce the cost of maintaining physical

Most of the data you work with is really about relationships. A customer belongs to an account. An incident affects a service. An engineer owns a repository. You store all of that in tables, and for a

This book is a capability-led field guide to the architectures that make modern AI agents actually work. It includes code, failure modes, and illustrative composite case studies for every pattern. Abo

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 pattern it shows me when I’m at my Pilates class. Simil

Some of the most dangerous native failures are produced by programs that appear to be working correctly. The cryptographic operation returns the right ciphertext. The parser rejects malformed input. T

A smartwatch can tell you that your heart rate is 78 beats per minute, that you've walked 6,421 steps, or that you slept for 7 hours last night. All of these numbers appear simple on the screen, but b

Here's something that most Kubernetes tutorials won't tell you: most engineers can run kubectl expose. Fewer than 10% understand what happens when they do. I've debugged Kubernetes networking issues a

The first thing many engineers want to do when they inherit a legacy codebase is change it. And I understand the impulse. You open a class that's 1,500 lines long. There are database calls mixed with