Books

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

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 Backend Application", "Clean Aggregates" and "Clean Domain-Driven Code". The former is the overarching concept, whilst the other two are essential and obligatory building blocks. Together, they form a specialised, systematic approach to the professional software engineering of 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.

A good software architecture should keep the cost of development low over the complete lifetime of an application. This book discusses how the Hexagonal Architecture style tries to fulfill this goal and translates the concepts into actual code to provide inspiration for software developers.

An LLM is not an AI system.Systems Thinking for Agentic AI shows software engineers and architects how to design reliable AI applications with prompts, RAG, tools, memory, orchestration, guardrails, evaluation, observability, and runtime control.Move beyond chatbot demos and learn how to build production-ready agentic AI systems you can reason about, measure, debug, operate, and improve

Master Swift from the ground up and learn how to write clean, modern code with confidence. From core language fundamentals to concurrency, generics, protocols and production-ready architecture, this practical guide covers the Swift features that matter in 2026 with clear explanations and useful examples.

Whether you are opening Xcode for the first time or ready to ship a polished desktop app, this book guides you through every step. Learn Swift with practical projects, understand how macOS apps are built and gain the skills to create software that is ready for real users and the Mac App Store.

Agentic coding is transforming how developers write software. Instead of relying on static code completion, you now collaborate with autonomous AI agents that plan, execute, and improve with you. Agentic Coding for Beginners introduces this new era of intelligent development through practical, tool-agnostic lessons. You’ll learn to plan, build, and review software with AI agents, using real, runnable code and real tools: Claude Code, Codex CLI, Copilot, Cursor, and agent harnesses such as Pi. You'll walk away knowing how to steer an agent well and catch it when it's wrong.

One of the most comprehensive no-fluff guides for Python software developers to help them write clean code every day. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code.

AI is an amplifier. It magnifies whatever engineering discipline — or lack of it — already exists, which means the bottleneck was never AI's capability; it is the collaboration space you design around it. This book is a six-level progression from early AI panic to sovereign engineering: the discipline of designing the environment in which human and artificial intelligence produce work worth keeping. It moves past prompting into the practices that compound — verification, habitat engineering, specification-first development, and the platform discipline that scales the practice across teams. The habitat is yours to design. Let's build it well.

Happy-path architecture is a myth. When downstream dependencies degrade, naive retries trigger thundering herds, thread pools exhaust in seconds, and dual-writes silently corrupt financial balances. Surviving Distributed Systems is an unvarnished, production-tested field guide for senior backend engineers. Packed with architectural diagrams and modern Java 21 code, this book teaches you how to design, isolate, and harden high-concurrency systems so they survive catastrophic cascading failures.

Generative AI can write code fast, but fast does not always mean safe. This practical guide shows software teams how to verify, test, secure and govern AI-assisted code across the full development lifecycle. Packed with real-world examples and practical workflows, it offers a clear path to adopting AI without lowering the bar for software quality.

What if your software did not need the cloud to work? Local First Software Development shows you how to build fast, reliable apps that work offline and sync when needed. Learn practical patterns for data, security and synchronization while exploring how local-first systems can grow from simple personal tools into large collaborative applications.

Modernize your C codebase without tearing it apart. From C to Rust is a practical guide to introducing Rust where it actually makes sense, building safe boundaries and migrating piece by piece while production keeps running. No hype, no clean-slate fantasy, just real tradeoffs, runnable examples and a path you can follow.

Build terminal apps that feel fast, polished and built to last. Terminal Interfaces takes you from the fundamentals of how terminals work to production-ready TUIs in Go, Python and Rust, using complete examples that grow from simple programs into powerful real-world tools.

Advanced Rust Programming goes beneath Rust’s safe surface to reveal the machinery that makes high-performance systems possible. Explore unsafe contracts, atomics, async internals, FFI, allocators and more through practical examples that sharpen your instincts and help you build faster, safer production-grade software.