Books

You know C++ syntax. Now learn how to structure, build, test, and maintain a real C++ application.

A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.

Чому проєкт-цукерочка через рік перетворюється на непідтримуване пекло? Тому що вас ніколи не вчили базі. Ця книга — єдина система координат, яка нарешті збере ваші розрізнені знання про ООП, GRASP, SOLID та GoF в одну цілісну картину.

Developer platforms promise to rewrite the laws of IT physics: they boost innovation through standards; they speed up development while assuring compliance; and they reduce cognitive load without restricting choice. Building such an in-house platform, or even deploying one, is far from easy, though. This book condenses a decade of building and rolling out platforms into practical advice for platform teams and users.5300+ happy readers! Also as Paperback edition

Residuality Theory is a new way to think about the design of software systems that explains why we experience design the way we do, why certain things seem to work only sporadically, and why certain architects get it right so often regardless of which tools they use. A new, scientific approach is defined that fuses Software Engineering, Complexity Science, and Philosophy to produce an entirely new way to think about how to design software. The result is a theoretical base that allows architecture to finally become its own discipline.

Unlock the power of AI in your applications with this groundbreaking book on AI-driven application architecture. Discover practical patterns and principles for building intelligent, adaptive, and user-centric software systems that harness the potential of large language models and AI components.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

The most important impact of AI on software development isn't that it writes code faster — it's that it changes what you can delegate. Agentic Programming is a practical roadmap for climbing the AI Fluency Ladder: from prompting to agentic workflows, verified execution, and ultimately autonomous software development.

“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell

Dieses Buch bietet Softwarearchitekten und Softwarearchitektinnen eine umfangreiche Sammlung von Qualitätstaktiken, um die Qualität von Softwaresystemen zu verbessern. Es dient als Ideengeber für verschiedene Situationen und Kontexte und hilft, das geforderte Qualitätsniveau für Stakeholder zu erreichen. Mit hunderten bewährten Taktiken ist es ein unverzichtbares Werkzeug für die Gestaltung hochwertiger Softwarearchitekturen.

A developer-friendly, practical and pragmatic guide to lightweight software architecture, technical leadership and the balance with agility.

The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING

The engineer's guide to RAG systems that survive a deploy.

Real software architectures, documented with the arc42 template. Helps you jumpstart your own documentation.

Takes you from “how to use Kotlin” into “how Kotlin really works,” revealing the internal implementations, desmifying bytecodes and compiler behavior, and internals that shape the language. If you want to write smarter, more confident Kotlin across fundamentals, coroutines, and multiplatform. Hardcover | ISBN: 979-8243872744 [Course] Practical Kotlin Deep Dive Course