Books

Learn Claude Code by building real projects. This hands-on companion turns the Claude Code Masterclass workshop into a practical self-paced guide for planning, coding, testing, reviewing, refactoring, and shipping software with AI.

Flexible, Reliable, Distributed Software guides readers through the process of developing high quality distributed software by highlighting the software architecture behind remote method invocation as well as HTTP and REST based architectures. It covers both the architectural patterns as well as the underlying Java implementation.

Build modern, production-ready Android apps with Jetpack Compose using real-world patterns, scalable UI architecture, and professional workflows. This book goes beyond basics to show you exactly how to design, structure, and optimize apps that perform in real development environments. Perfect for developers ready to turn Compose knowledge into polished, portfolio-ready applications.

AI agents are only as good as the loops behind them. This book shows you how to build systems that plan, act, evaluate and improve with every step. Learn the patterns, frameworks and engineering practices behind reliable, self-correcting agents that solve real problems in production.

Timely Relevance: Edge AI is currently undergoing rapid adoption and transformationPractical Focus: Each topic includes concrete business opportunities and implementation strategiesBroad Appeal: Covers both technical and business perspectivesForward-Looking: Includes emerging trends that will remain relevant for yearsCase Study Rich: Plenty of real-world examples from startups and established companies

FOCUS Architecture presents an opinionated architectural approach for creating simple, organized, and maintainable systems. Instead of multiplying layers and abstractions, the book demonstrates how to structure applications around four components—View, Orchestrator, Use Case, and Repository—thereby reducing the cost of change and simplifying the work for both developers and AI tools.

Most companies are stuck in "pilot purgatory"—endless AI experiments that never scale. Teams spend weeks sharing clever prompts and one-off scripts, but nothing makes it into production. Budgets evaporate, engineers' enthusiasm curdles into cynicism, and executives start asking "we spent how much on this?" The problem isn't the AI tools—it's the approach. AI models are inherently non-deterministic (ask the same question twice, get different answers), while software engineering demands deterministic, reliable results. Without structure to bridge this gap, AI adoption fails spectacularly. This book introduces PIT™ (Plan Implement Test), a proven methodology that transforms unpredictable AI outputs into reliable engineering workflows. Built from thousands of hours of real development work, PIT™ channels AI's capabilities through structured planning, phased implementation, and comprehensive testing—delivering the consistency that production code demands.

Stop fighting the infrastructure and start building the future. Building Software Platforms shows you how to transform raw cloud complexity into a seamless internal product. Learn the architectural blueprints and strategic plays to build a platform that gets out of the way, turning your developers from 'troubleshooters' into creative problem solvers.

This book aims to explain the concepts of Domain-driven Design in a way that it is easily applicable in practice. Each chapter contains a theoretical part which is explained from the point of view of practical applicability and then exercises with solutions based on a comprehensive, complex case study (real estate loans).

Understand CQRS through visual explanations of commands, queries, models, consistency, messaging, and reliable system design.

AI has changed the way code is written, but its true impact lies in software engineering. This book explains why specification, architecture, and context have moved to the center of modern development.

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

Modern AI applications are not built from scratch but, instead, by integrating off-the-shelf components: libraries, frameworks, and services. "Applied Artificial Intelligence - An Engingeering Approach" focuses on engineering user friendly, high-performance, and maintainable AI applications.

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

Master the ideas behind Java concurrency, from threads, race conditions, and synchronization to CompletableFuture, virtual threads, and structured concurrency. With practical patterns, runnable examples, and a companion GitHub repository, this book helps you move from understanding concurrency to applying it in real programs.