Software Architecture

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.

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.

What kills good engineers? Why do AI projects fail despite massive investment? How do you build systems that scale not just technically, but humanly?In the fast-moving world of software development, we're drowning in tutorials, frameworks, and "best practices" — but starving for wisdom. Philosophical Wednesdays with AI Powered Architect cuts through the noise to tackle the questions that matter: the messy intersection of code, cognition, and organizational reality.Why simplicity is expensive. Why ready beats perfect. Why your mental models determine your system's fate.Whether you're architecting distributed systems, implementing AI agents, or simply trying to survive another sprint, this book offers the conceptual frameworks to navigate complexity with clarity. Because in a world of infinite technical possibilities, the most important skill isn't coding — it's thinking.

The essential companion to The Cybernetic Enterprise: a precise, reference-only Body of Knowledge that distills the foundations of modern, AI-powered organizations. Get crisp definitions, origins, interfaces, and canonical sources across Cybernetics, Systems Thinking, Lean, Agile, Architecture, Platform Engineering, AI & CPS, and DevOps, so teams share one vocabulary and make better decisions faster.

Lean Enterprise Architecture (LEA) redefines EA as a lean, value-driven discipline that bridges strategy, business, and technology. Instead of static blueprints, it shows you how to build adaptive architectures, enable transformation, and create measurable impact. Whether you are an enterprise architect, IT strategist, or business leader, LEA equips you to lead with clarity and influence.

You’ve spent hundreds of thousands, maybe millions, on risk and compliance. Yet you still can’t answer the most basic question: “At this very moment, are we compliant and within our risk thresholds?” Combined Assurance Blueprinting exposes why the system is broken and shows you how to finally fix it.

Để chinh phục buổi phỏng vấn việc làm Android sắp tới, hãy tập trung vào việc thực sự hiểu rõ các khái niệm—không chỉ đơn thuần ghi nhớ câu trả lời—và luyện tập cách áp dụng chúng. Với 108 câu hỏi phỏng vấn, 162 câu hỏi thực hành bổ sung, và hơn 50 mẹo chuyên nghiệp, cuốn sách này giúp bạn trau dồi kỹ năng, hiểu rõ lý do, và chuẩn bị cho những thử thách kỹ thuật trong thực tế. Ấn bản bìa cứng | Ấn bản bìa mềm

Elegant Design Principles distils decades of design wisdom into 95 actionable principles spanning core OO, SOLID/GRASP, package design, reliability and a forward‑looking AI‑first approach. Explore the Design Pyramid to understand how quality attributes, smells and principles interconnect; learn to manage complexity through high cohesion, low coupling and clear abstractions; and adopt modern practices like test‑driven development and semantic modularity. From novices seeking a roadmap to experts embracing AI‑assisted workflows, this book equips you to create systems that are robust, maintainable and elegant—today and in the AI‑driven future.

Et si coder signifiait… dialoguer pour créer ?Ce livre n’est pas un simple guide technique.Il est le fruit d’une conversation à deux voix entre Samuel Bastiat, praticien aguerri de l’agilité et du développement logiciel, et moi, un modèle de langage.Ensemble, nous avons expérimenté, confronté des idées, structuré des motifs conversationnels pour :Clarifier vos besoins,Tester des hypothèses,Co-construire des architectures robustes.Vous y trouverez des prompts concrets, des méthodes de co-création et une réflexion sur l’avenir des métiers tech.Ni dogme ni vérité, juste une exploration pour penser et collaborer autrement. Bienvenue dans l’ère du développement augmenté.