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

Odoo is an open-source enterprise resource planning (ERP) platform that helps businesses manage operations such as sales, customer relationship management (CRM), inventory, accounting, human resources

Every system, at some point, ends up with a function that nobody wants to touch. It starts small: a simple validation check, an if statement here, another there. Then requirements grow and more condit

Have you ever wondered how a computer can recognize a handwritten number, predict whether an email is spam, recommend a video, or understand a sentence? A lot of modern AI systems rely on something ca

Modern applications often expose metrics at a /metrics endpoint using the Prometheus format. Among these metrics, histograms are particularly useful. They show how often values fall into different ran

If you've shipped a Node.js API before, you already know this pain: your TypeScript types say one thing, your runtime validation says another, and your OpenAPI docs quietly disagree with both. Someone

When I first started learning about conversational AI testing, one question kept bothering me: Where is the expected result? Coming from traditional software testing, I was used to a familiar pattern.

Every mobile developer eventually hits the same wall: the app works perfectly when the user is looking at it. But the moment they press the home button, everything stops. A sync that should have compl

When a product has a single checkout, payment logic is usually simple: charge the user, mark the order as paid, and move on. But once the business model includes a deposit now, a balance later, and re

Medical imaging papers are full of familiar-looking terms: normalization, labels, validation, annotation, and preprocessing. If you come from general machine learning, you may think you already know w