Books

Go from an empty cluster to a self-deploying GitOps pipeline, doing every step yourself: Applications, sync policy, hooks, RBAC, Helm, ApplicationSets, and a setup that ships every branch on push. You finish with a pipeline you can explain line by line, not a demo you watched run.

Go from monolithic frontend pain to a fully deployed micro frontend architecture. A hands-on, production-focused guide to Webpack 5 Module Federation, ending with a complete multi-team app you build and ship yourself.

Why learn one programming language when you can understand three at once? This book introduces the foundations of programming through a powerful side-by-side comparison of Python, Java, and C#, enabling readers to build strong conceptual understanding, transferable coding skills, and a solid pathway toward modern software engineering.

Build real AI products with TypeScript. Learn LLMs, RAG, Agents, MCP, and production AI engineering from a frontend developer's perspective.

A leader at a company opens Slack one morning. The brief their virtual employee wrote looks normal: same headers, same prose voice, same cadence as every other brief that week. The last line ends mid-sentence. The API returned `stop_reason: "max_tokens"`. The system shipped it anyway. No exception. No log line. No retry. That bug doesn't look like the normal kind. This book is about why, and what to build instead.

You are not losing velocity because your engineers are slow. You are losing velocity because every line of untested code is a landmine your team laid for itself — and sooner or later, someone steps on it. This is the book that explains why. No syntax. No tutorials. Just the argument, the evidence, and the standard your team should already be held to. A 30-minute read that changes how you lead software quality forever.

A typed, signed-deliverable playbook for the enterprise-scale Oracle 19c → Azure migration. Across fifteen chapters, thirteen signed JSON deliverables chain end-to-end from Migration Assessment Bundle to Decommissioning Readiness Report. Defensible at a code review. Sign-off-ready for a director.

This book introduces screenshot testing (also called visual or snapshot testing): an automated approach that records a reference image of the expected design, then compares each test run against it to detect visual changes. It’s a natural complement to functional UI tests, which verify behavior but not appearance. The book focuses on the fundamental principles that apply to all frameworks. It works through the questions teams actually face: when to use screenshot tests and when not to, what to verify, which frameworks and tools fit your workflow, how to generate tests from preview functions in Jetpack Compose, how to integrate tests into a CI/CD pipeline, and how to optimize the whole process. By the end, you’ll be able to choose the framework that best suits your project and build a safety net that catches visual bugs before release. Every concept is demonstrated with a demo mood tracker application, with all code available online.

You adopted the agents. You kept the process. That is why it feels broken. AI agents do not need a better workflow. They need a methodology designed for them - one that starts before the first line of code and ends only when the system signals that something needs to change. ANSE is that methodology. Nine pillars. One unbroken loop. The next evolution of AI influenced development - Smarter not just Faster.

AI writes code faster than you can review it. This book gives you the gates: automated guardrails that catch bugs, enforce standards, and verify behavior before bad code reaches production. Stop being the last line of defense. Build the gates that catch the slop first, so you design and verify instead of proofread.

This book is not just another introduction to Domain-Driven Design (DDD). It explores real-world design problems, challenges conventional approaches, introduces new ideas by providing practical guidelines on three levels of abstraction, which the author calls "Clean Bounded Contexts", "Clean Aggregates" and "Clean Domain-Driven Code". These terms together form a specialized, systematic approach to professional software engineering for backend applications. The book is packed with detailed diagrams and code examples. Along the way, readers gain practical guidelines and design insights that help them confidently apply these concepts in their own software projects.

How to put AI agents in production without ending up in the news. A field guide to bounded AI autonomy, MCP security, and AgentSecOps.

The chapter that grew into its own book: existential and universal restrictions, the correct VegetarianPizza pattern, and how OWL restrictions become EKA governance.

AI doesn’t fail loudly. It generates code that looks correct and compiles anyway. This book shows you how to make AI dependable by building the context and guardrails that keep your team shipping instead of debugging.

Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.