Skip to content
Synthetic Code
Search
Ctrl
K
Cancel
GitHub
Select theme
Dark
Light
Auto
Select language
Español
English
Menu
Vol. 1 — Foundations
Cover
Front matter
Copyright & Publishing Details
Dedication
Synopsis
Foreword
Preface
Reading Guide and Prerequisites Map
Note on Technological Shelf Life
Critical Reading Workbook
Volume 1 Operational Glossary
Quick Reference Index: Problem → Direct Solution
Chapters
Chapter 1: The Agentic Awakening
Chapter 2: The AI Engineer: The Most Valuable Profile of the Next Decade
Chapter 3: Platform Engineering in the Agentic Era
Chapter 4: Technical Foundations of the Modern Agent
Chapter 5: The Synthetic Enterprise
Chapter 6: Domain-Driven Design as an Immune System
Chapter 7: Skill Engineering: Teaching Procedures to Autonomous Agents
Chapter 8: Multi-Agent Orchestration Patterns
Chapter 9: MCP: The Protocol Unifying the Agentic World
Chapter 10: Context Architecture
Appendices & references
Appendix B: Reference Pricing and Pipeline Cost Accounting
State of the Art: LLM-Based Multi-Agent Systems and the Role of the AI Engineer
Referencias
Vol. 2 — Frontiers and Applications
Cover
Front matter
Copyright & Publishing Details
Dedication
Synopsis
Foreword
Preface
Reading Guide and Prerequisites Map
Note on Technological Shelf Life
Critical Reading Workbook
Volume 2 Operational Glossary
Quick Reference Index: Problem → Direct Solution
Chapters
Chapter 1: Security for Your AI Agents and Secure Multi-Agent Systems
Chapter 2: Transforming Intuitions into Real Systems Others Use, Model Hackers, and the Leap to Multi-Agent Systems
Chapter 3: Interested in GenAI and Tech? Where to Find Global Events That Leave a Mark, Applied to Agents and Multi-Agent Systems
Chapter 4: Reactive Multi-Agent AI Programming
Chapter 5: A New Variable in the Trust Equation, Applied to AI Agents and Multi-Agent Systems
Chapter 6: Thought Extensions in the AI Agent Ecosystem
Chapter 7: One-Year-Old Innovations That Can Still Expand, Generative AI, and the Cloud
Chapter 8: Google's AI Agent and Multi-Agent Tool for Language Learning: An Architectural Deep Dive
Chapter 9: Closing Connections Also Applies to AI Agents and Multi-Agent Systems: A Critical Perspective
Chapter 10: Teaching AI with Multi-Agent Systems: A Pedagogical Framework for Early Childhood Education
Chapter 11: Evolution to the Native Form of AI Agents and Multi-Agent Systems in Smart City Ecosystems
Chapter 12: Hybrid Architectures in Multi-Agent Ecosystems
Chapter 13: Functionality or Structure in Your Intelligent AI Systems and Orchestrated Multi-Agents?
Chapter 14: The Enduring Relevance of Books You Must Read to Avoid Getting Trapped in AI Hype, and Dive in to the Fullest
Chapter 15: Music in Multi-Agent AI: From the Isolated Chord to the Self-Learning Melodic Swarm
Chapter 16: Video in Multi-Agent AI: Deep Generation, Spatiotemporal Diffusion, and Chinese Domain Dominance
Chapter 17: China in the Multi-Agent Era
Chapter 18: The United States in AI Agents: Where Tomorrow's Architecture Is Born and the Rules of the Game Are Set
Chapter 19: Europe in AI Agents: When Regulation Becomes Architecture and Architecture Becomes a Competitive Advantage
Chapter 20: Latin America and Africa in Multi-Agent AI: The Leapfrog Opportunity Still Within Reach and the Mechanisms to Seize It
Chapter 21: Australia: The Trusted Geopolitical Testbed for Global Agentic AI
Chapter 22: Russia in Multi-Agent AI: When Sanctions Redefine Agentic Systems Architecture
Chapter 23: Taiwan: The Geopolitical Chokepoint Behind Every Agent Swarm on the Planet
Chapter 24: The Netherlands: When Infrastructure Is the Real Weapon
Chapter 25: Japan: Synthetic Multi-Agent Systems on the Factory Floor
Chapter 26: Melbourne: Where Agentic Experimentation Redefined the Model
Chapter 27: Universities: Training the Next Generation of Agent Architects
Chapter 28: Soccer and Multi-Agent Systems: Where the Tactical Future Emerges
Chapter 29: Cline and Continue
Chapter 30: Cursor, Windsurf, and Zed
Chapter 31: Grok, Cody, and Amazon Q
Chapter 32: Multi-Agent Systems in Mobile Development, 3D Games, and Virtual Reality
Appendices & references
Appendix B: Reference Pricing and Pipeline Cost Accounting
State of the Art: AI Geopolitics, Technological Sovereignty, and Semiconductor Supply Chains
Referencias
Vol. 3 — Organizational Maturity
Cover
Front matter
Copyright & Publishing Details
Dedication
Synopsis
Foreword
Preface
Reading Guide and Prerequisites Map
Note on Technological and Regulatory Shelf Life
Critical Reading Workbook
Operational Glossary: Volume 3
Quick Reference Index: Organizational Problem → Actionable Solution
Chapters
Chapter 1: Ethics and Alignment in Production
Chapter 2: The Future, the Orchestrator Engineer
Chapter 3: Multi-Agent AI Facing El Niño
Chapter 4: How to Defend a Multi-Agent Architecture Before a Committee: Feasibility, Costs, Benchmarking, and the Agentic Side of Constructive Critique
Chapter 5: Discovering Software Bugs: A Challenge Reframed by AI Agents
Chapter 6: Templates for Multi-Agent Projects That Operate as Development Teams: Sprints, Ceremonies, Demos, and the ROI Executives Expect
Chapter 7: The Modern Development Ecosystem Matched to the Business Ecosystem: and How to Serve It at Exactly the Right Moment, Applied to Multi-Agent Systems
Chapter 8: Becoming a Master of AI Agents and Multi-Agent Systems
Chapter 9: Six Cases to Strengthen Technical Leadership, Applied to AI Agents and Multi-Agent Systems
Chapter 10: Managing AI Expectations and Timelines
Chapter 11: A Call to Reinvent Yourself in the Age of Multi-Agent Systems
Chapter 12: The Fight Between AI Agents and Multi-Agent Systems: Why Being the Best Model Isn't Enough to Win
Chapter 13: The Tired Programmer Syndrome, Applied to AI Agents and Multi-Agent Systems
Chapter 14: Katas for AI Agents Competing for a Prize of Their Own
Chapter 15: RACI and Eisenhower with Agents
Chapter 16: The PMBOK and the New Advances in AI Agents and Multi-Agent Systems: A Vision of Symbiosis
Chapter 17: Lessons from AI Agents: Learning from Those Who Explain the Complex with Simplicity
Chapter 18: Our Guide to Not Getting Lost in the Complexity Ecosystem of AI and Multi-Agent Systems
Chapter 19: Ideas for Generating Revenue with AI Agents and Multi-Agent Systems
Chapter 20: DevSecOps and Permissions for Agents
Chapter 21: Every Line of Code as a Responsibility of the AI Agent and Multi-Agent Systems
Chapter 22: Start with MVPs for AI Agents and Multi-Agent Systems
Chapter 23: Role Cases in AI Agents and Multi-Agent Systems: A Case to Study
Chapter 24: Emphasizing the Importance of SOLID Principles for Agents and Multi-Agent Ecosystems
Chapter 25: Let's Rescue Agility by Injecting It into AI Agents
Appendices & references
Appendix B: Reference Pricing and Pipeline Cost Accounting
State of the Art: Governance, Accountability, and Human Oversight in Autonomous AI Systems
Referencias
Vol. 4 — Scale Patterns
Cover
Front matter
Copyright & Publishing Details
Dedication
Synopsis
Foreword
Preface
Reading Guide and Prerequisites Map
Note on Technological Shelf Life
Critical Reading Workbook
Operational Glossary: Volume 4
Quick Reference Index: Production Symptom → Architectural Solution
Chapters
Chapter 1: The Silent Token-Burn
Chapter 2: Probabilistic Estimation in Agentic Systems
Chapter 3: Testing Agentic Systems
Chapter 4: Security in the Agentic Stack
Chapter 5: The Orchestrator's Playbook: Complete Use Cases
Chapter 6: Clean Architecture for Agentic Systems
Chapter 7: Event-Driven Architecture, Kafka as the Nervous System
Chapter 8: Operating the System: Observability and MLOps for Small Teams
Chapter 9: The Coverage Week: Working with Claude on a Real Project
Chapter 10: The Evolution of Architectures: From Context to Swarm
Chapter 11: More KPI Metrics: An Adrenaline Shot for AI Multi-Agent Systems
Chapter 12: Low Energy Consumption with AI Multi-Agent Systems: Efficiency as an Architectural Decision
Chapter 13: Disaster Recovery with Multi-Agents in Production
Series Epilogue {.unnumbered}
Appendices & references
Appendix B: Reference Pricing and Pipeline Cost Accounting
State of the Art: Resilience and Scalability Patterns in Distributed Systems
Referencias
GitHub
Select theme
Dark
Light
Auto
Select language
Español
English
Synthetic Code — Organizational Maturity
Organizational Maturity — Governance, Autonomy, and Quality in Agent Teams
Start reading →