Books

Die meisten Unternehmen können schnell liefern, aber nur wenige können sich in großem Maßstab anpassen.The Cybernetic Enterprise stellt ein einheitliches Betriebsmodell vor, das KI, Rückkopplungsschleifen und Plattform-Denken in die DNA Ihrer Organisation einbettet. Erfahren Sie, wie Sie ein System aufbauen, das Veränderungen wahrnimmt, kontinuierlich lernt und Disruption in strategische Vorteile verwandelt.

Der unverzichtbare Begleiter zu The Cybernetic Enterprise: eine präzise, ausschließlich als Referenz dienende Body of Knowledge, die die Grundlagen moderner, KI-gesteuerter Organisationen destilliert. Erhalten Sie prägnante Definitionen, Ursprünge, Schnittstellen und maßgebliche Quellen aus den Bereichen Kybernetik, Systemdenken, Lean, Agile, Architektur, Platform Engineering, KI & CPS und DevOps, damit Teams ein gemeinsames Vokabular teilen und schneller bessere Entscheidungen treffen können.

Das Handbuch für CTOs kybernetischer Unternehmen verwandelt Strategie in Umsetzung für moderne Technologieführer. Es stattet CTOs mit praktischen Handlungsempfehlungen, Bewertungsinstrumenten und Transformations-Roadmaps aus, um adaptive, KI-gestützte und feedbackgesteuerte Organisationen aufzubauen. Erfahren Sie, wie Sie Menschen, Prozesse und Technologie zu einem lebenden System vereinen, das schneller wahrnimmt, entscheidet und sich weiterentwickelt als sich sein Umfeld verändert.

The Cybernetic Enterprise Assessment turns transformation theory into actionable insight. Based on The Cybernetic Enterprise, it helps you evaluate how future-ready your organization truly is, across people, process, technology, and data. Use it to uncover strengths, expose gaps, and define clear steps toward becoming an adaptive, AI-augmented, and continuously learning enterprise.

Tired of React runtime errors despite TypeScript? Elm guarantees zero runtime exceptions—if it compiles, it works. This practical guide shows React developers how Elm's strict functional programming approach eliminates entire classes of bugs while teaching you real FP concepts that transfer to any language. Learn the pattern that inspired Redux, discover compile-time safety that catches errors TypeScript misses, and see side-by-side code comparisons from a production codebase with 125,000+ lines of Elm. Your React knowledge is your advantage—this book meets you where you are. Why this book exists: Christian believes Elm is the fastest and most effective way for developers to truly learn functional programming—not watered-down FP patterns, but real, uncompromising functional thinking. Whether you adopt Elm professionally or not, learning it will make you a better developer in any language. This book is his way of sharing that insight with React developers who are ready to level up.

The Cybernetic Enterprise CTO Playbook turns strategy into execution for modern technology leaders. It equips CTOs with actionable plays, assessments, and transformation roadmaps to build adaptive, AI-augmented, and feedback-driven organizations. Learn how to align people, process, and technology into one living system that senses, decides, and evolves faster than its environment changes.

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.

? What if coding meant… dialoguing to create? This book is not just a technical guide. It is the outcome of a two-voice conversation between Samuel Bastiat, a seasoned practitioner of agility and software development, and me, a large language model. Together, we experimented, challenged ideas, and structured conversational patterns to: ? Clarify your needs ? Test hypotheses ?️ Co-build robust architectures Inside, you’ll find concrete prompts, co-creation methods, and a reflection on the future of tech roles.Neither dogma nor ultimate truth — simply an exploration of new ways to think and collaborate. ? Welcome to the era of augmented development.

So how do you make an AI agent and conversational agent understand time? How does time shape attention? How is time important for the context engine? You will learn how to add time to knowledge graphs, how time and causality drive context, and how to make the knowledge graphs that are used for AI memory time-aware.

So how do you make an AI agent and conversational agent understand time? How does time shape attention? How is time important for the context engine? You will learn how to add time to knowledge graphs, how time and causality drive context, and how to make the knowledge graphs that are used for AI memory time-aware.

Born from year one of The Coder Cafe, the newsletter trusted by 3,000+ readers, this contains distills timeless concepts to help you master the fundamentals of software engineering: code health, testing, distributed systems, critical thinking, and more.Written by Teiva Harsanyi, Google SWE and published author, it supports your growth as an engineer, one concept at a time.

What does it really mean to be an architect in the age of AI? If you are a software architect or stepping into the role of AI architect, this question is already shaping your path. Just as we once moved from monoliths to services and from infrastructure to the cloud, we are now designing for intelligent systems that must be explained and trusted. Dear Software and AI Architect is the guide the industry has been missing. Drawing on two decades of practice, field stories, and lessons learned, it shows you how to navigate ambiguity, balance trade-offs, and build trust that scales. You will gain real-world insight into architecting with both software craftsmanship and AI intelligence, use AI as a partner in your craft, and apply enduring principles, patterns, and practices across teams and enterprises. With 50+ caselets, expert voices, and the Architect’s V-Impact Canvas, this book equips you to lead with clarity, build with context, and thrive in the era of AI engineering.

Your knowledge graphs are fundamentally broken. RDF forces complex relationships into binary triples. OWL can't express real constraints. SHACL catches errors after corruption spreads.Dependent types change everything. Types that depend on values make invalid data impossible to construct. Higher-order logic enables meta-reasoning about relationships. Contextual types handle knowledge that varies by time and perspective.This book reveals how type theory solves problems RDF/OWL cannot address:Native hypergraph representationFormal constraint verificationAI memory systems for edge devicesScientific knowledge evolutionLearn practical implementations in ELPI, TypeDB, Twelf, and Beluga. Discover migration strategies from existing RDF infrastructure.The future of AI demands better knowledge representation. The future of knowledge representation is type theory.Ready to build knowledge systems that match reality's complexity?

Ready to conquer software complexity? This book provides a practical introduction to Domain-Driven Design with Spring Boot, giving you the essential patterns to start building more robust and business-aligned applications. It's your clear starting point for applying DDD principles without getting bogged down in theory.

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.