Engineering Intelligence. Read the book.

BOOK / ENGINEERING INTELLIGENCE

Engineering Intelligence

A theory and operating system for engineering organizations in the age of AI.

Prasanna Gopinath

Founder & CEO, CognitiveClouds
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Software engineering is not only the production of code. It is the system through which an organization turns business intent, knowledge, constraints and engineering judgment into reliable software outcomes.
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Inside the book

78 chapters. 10 parts. 9 appendices.

Front matter5 sections
  1. Engineering Intelligence1 min
  2. Preface3 min
  3. How to Read This Book2 min
  4. The Core Definition1 min
  5. Table of Contents4 min
Part I — How Engineering Got Here8 sections
  1. Part I — How Engineering Got Here1 min
  2. Chapter 1 — Engineering Exists to Organize Complexity2 min
  3. Chapter 2 — From Programming to Software Engineering2 min
  4. Chapter 3 — Coordination Becomes the Constraint2 min
  5. Chapter 4 — Architecture Becomes an Active System2 min
  6. Chapter 5 — Automation Moves Into the Delivery System2 min
  7. Chapter 6 — The Arrival of Generative AI2 min
  8. Chapter 7 — Why Faster Coding Does Not Solve the Engineering Problem2 min
  9. Chapter 8 — The Complexity Wall2 min
Part II — The Engineering Organization8 sections
  1. Part II — The Engineering Organization1 min
  2. Chapter 9 — Software Is the Result of Decisions2 min
  3. Chapter 10 — The Engineering Organization as a System2 min
  4. Chapter 11 — Engineering Judgment2 min
  5. Chapter 12 — Organizational Context2 min
  6. Chapter 13 — Organizational Memory1 min
  7. Chapter 14 — Architecture Intelligence2 min
  8. Chapter 15 — The Engineering Graph2 min
  9. Chapter 16 — Engineering Decision Quality2 min
Part III — What AI Changes9 sections
  1. Part III — What AI Changes1 min
  2. Chapter 17 — Generation Becomes Cheap1 min
  3. Chapter 18 — The Verification Burden2 min
  4. Chapter 19 — AI and Engineering Judgment2 min
  5. Chapter 20 — Specialization Versus the General Agent1 min
  6. Chapter 21 — Human Orchestration1 min
  7. Chapter 22 — Governed Autonomy1 min
  8. Chapter 23 — Authority, Permission and Reversibility1 min
  9. Chapter 24 — Security, Compliance and Policy Become Executable1 min
  10. Chapter 25 — When AI Should Not Act1 min
Part IV — Engineering Intelligence11 sections
  1. Part IV — Engineering Intelligence1 min
  2. Chapter 26 — What Engineering Intelligence Is2 min
  3. Chapter 27 — The First Principles2 min
  4. Chapter 28 — The Engineering Intelligence System1 min
  5. Chapter 29 — Context Continuity2 min
  6. Chapter 30 — Continuous Architecture1 min
  7. Chapter 31 — The Engineering Learning Loop1 min
  8. Chapter 32 — Measuring Engineering Intelligence2 min
  9. Chapter 33 — The Engineering Laws2 min
  10. Chapter 34 — Failure Modes of Engineering Intelligence2 min
  11. Chapter 35 — Where Engineering Intelligence Does Not Apply1 min
  12. Chapter 36 — The Strongest Arguments Against Engineering Intelligence2 min
Part V — Building an Engineering Intelligent Organization8 sections
  1. Part V — Building an Engineering Intelligent Organization1 min
  2. Chapter 37 — The Engineering Intelligence Maturity Model1 min
  3. Chapter 38 — Level 0: Individual Tool Adoption1 min
  4. Chapter 39 — Level 1: Assisted Workflows1 min
  5. Chapter 40 — Level 2: Connected Context1 min
  6. Chapter 41 — Level 3: Governed Autonomy1 min
  7. Chapter 42 — Level 4: Engineering Intelligence1 min
  8. Chapter 43 — How to Assess an Engineering Organization1 min
  9. Chapter 44 — The 90-Day Starting Plan1 min
Part VI — Cortex: Engineering Intelligence in Practice10 sections
  1. Part VI — Cortex: Engineering Intelligence in Practice1 min
  2. Chapter 45 — Why We Built Cortex1 min
  3. Chapter 46 — Cortex Brain1 min
  4. Chapter 47 — The Engineering Graph in Cortex1 min
  5. Chapter 48 — Cortex Pods1 min
  6. Chapter 49 — Product, Requirements and Architecture Intelligence1 min
  7. Chapter 50 — Verification, Quality and Security1 min
  8. Chapter 51 — Organizational Memory and Learning1 min
  9. Chapter 52 — Enterprise Integration1 min
  10. Chapter 53 — Where Cortex Stops1 min
  11. Chapter 54 — The Road Ahead1 min
Part VII — The Human Organization6 sections
  1. Part VII — The Human Organization1 min
  2. Chapter 55 — The Developer After Code Generation2 min
  3. Chapter 56 — The Architect After AI2 min
  4. Chapter 57 — The Engineering Manager After AI2 min
  5. Chapter 58 — Product Leadership After AI1 min
  6. Chapter 59 — Platform, Security and Reliability Become Strategic1 min
  7. Chapter 60 — Organizational Design for Engineering Intelligence1 min
Part VIII — Enterprise Field Guide6 sections
  1. Part VIII — Enterprise Field Guide1 min
  2. Chapter 61 — The Economics of AI Engineering2 min
  3. Chapter 62 — Build, Buy or Compose1 min
  4. Chapter 63 — Measuring AI ROI Without Lying to Yourself1 min
  5. Chapter 64 — Legacy Modernization1 min
  6. Chapter 65 — Regulated Engineering1 min
  7. Chapter 66 — Ten Questions for a CTO1 min
Part IX — The Engineering Intelligence Architecture6 sections
  1. Part IX — The Engineering Intelligence Architecture1 min
  2. Chapter 67 — Designing Context Architecture3 min
  3. Chapter 68 — Designing Verification Architecture2 min
  4. Chapter 69 — Designing Governance Architecture2 min
  5. Chapter 70 — Designing Organizational Memory Architecture2 min
  6. Chapter 71 — Engineering Graph Reference Model2 min
  7. Chapter 72 — Engineering Intelligence Transformation Playbook2 min
Part X — Enterprise Scenarios6 sections
  1. Part X — Enterprise Scenarios1 min
  2. Chapter 73 — Scenario: Building a New Enterprise Product1 min
  3. Chapter 74 — Scenario: A 15-Year-Old Enterprise Platform1 min
  4. Chapter 75 — Scenario: A Bank Adopting Coding Agents1 min
  5. Chapter 76 — Scenario: Healthcare and Regulated Workflows1 min
  6. Chapter 77 — Scenario: AI-Assisted Incident Response1 min
  7. Chapter 78 — Scenario: A Platform Team Scaling AI Across 100 Teams1 min
Conclusion1 sections
  1. Conclusion — The Unit of Intelligence Has Changed1 min
Appendices9 sections
  1. Appendix A — Engineering Intelligence Lexicon2 min
  2. Appendix B — Canonical Mental Models2 min
  3. Appendix C — Engineering Laws2 min
  4. Appendix D — Engineering Intelligence Assessment3 min
  5. Appendix E — Engineering Intelligence Scorecard1 min
  6. Appendix F — Governed AI Engineering Checklist1 min
  7. Appendix G — Recommended Reading and Intellectual Foundations2 min
  8. Appendix H — Source Notes2 min
  9. Appendix I — One-Page Executive Summary2 min
About the author2 sections
  1. About the Author1 min
  2. End1 min

Engineering Intelligence

Prasanna Gopinath · CognitiveClouds