Books

L'Évaluation de l'Entreprise Cybernétique transforme la théorie de la transformation en perspectives exploitables. Basée sur L'Entreprise Cybernétique, elle vous aide à évaluer le niveau réel de préparation de votre organisation pour l'avenir, à travers les aspects humains, les processus, la technologie et les données. Utilisez-la pour découvrir vos points forts, exposer vos lacunes et définir des étapes claires vers la construction d'une entreprise adaptative, augmentée par l'IA et en apprentissage continu.

Le compagnon essentiel de L'Entreprise Cybernétique : un Corpus de Connaissances précis et de référence qui distille les fondements des organisations modernes propulsées par l'IA. Obtenez des définitions claires, les origines, les interfaces et les sources canoniques couvrant la Cybernétique, la Pensée Systémique, le Lean, l'Agile, l'Architecture, l'Ingénierie des Plateformes, l'IA et les SCF, et le DevOps, pour que les équipes partagent un vocabulaire commun et prennent de meilleures décisions plus rapidement.

Die kybernetische Unternehmensanalyse verwandelt Transformationstheorie in umsetzbare Erkenntnisse. Basierend auf The Cybernetic Enterprise hilft sie Ihnen zu bewerten, wie zukunftsfähig Ihre Organisation in den Bereichen Menschen, Prozesse, Technologie und Daten wirklich ist. Nutzen Sie sie, um Stärken aufzudecken, Lücken aufzuzeigen und klare Schritte zu definieren, wie Sie sich zu einem adaptiven, KI-gestützten und kontinuierlich lernenden Unternehmen entwickeln können.

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 150,000+ 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.

? 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.

AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.

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.