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Chapter 1: The 10-Second Integration

Is Documentation Dead?

The shift from reading documentation to AI conversations

The Tyranny of Instant Gratification

The expectation that everything must work in seconds

Choosing Over Coding: The End of Craftsmanship?

From writing code to choosing which code to generate

Chapter 2: The Algorithmic Gatekeepers

The Invisible Oligarchy: Who Really Controls Software Development?

The concentration of power in AI training decisions

Software Homogenization: Are We Building a Monoculture?

The standardization of software patterns through AI

Gaming the AI: Is AIO the New SEO?

Optimizing documentation for AI ingestion

Chapter 3: The Attention Singularity

The Paradox of Infinite Choice: When Everything Is Possible, Nothing Matters

The paralysis of infinite AI-generated options

Curation vs. Creation: Is Original Work Dead?

The shift from creating to curating AI content

The Trust Economy: When Anyone Can Fake Expertise

Building trust when competence can be simulated

Chapter 4: The Modern Success Stack

The Death of Feature-Rich: Why Less Is Everything

Single-purpose tools vs feature-rich platforms

Augmentation vs. Automation: The Comfortable Lie?

Whether AI augments or replaces developers

Trust Architecture: Security Theater or Genuine Safety?

Proving correctness in AI-generated code

Chapter 5: The Velocity Paradox

Ship Fast, Regret Forever: The Velocity Trap

Speed vs sustainability in development

PostgreSQL vs. The World: Is Boring the Ultimate Strategy?

Stable, boring tech vs innovation

Chapter 6: Platform Dynamics

GitHub's Stranglehold: Healthy Ecosystem or Dangerous Monopoly?

GitHub's dominance over open source

The Platform Tax: Are We All Just Sharecroppers Now?

Platform fees and marketplace control

Chapter 7: Engineering Serendipity

Manufacturing Virality: Genius Marketing or Manipulation?

Engineering viral success vs organic growth

Productive Controversy: Strategic Genius or Toxic Behavior?

Using controversy for attention

Chapter 8: The Trust Protocol

GitHub Contributions as Currency: Meritocracy or Privilege?

GitHub history as trust signal

The Death of Stack Overflow: When AI Answers Kill Human Knowledge

AI flooding Q&A platforms

Chapter 9: The Origin Story Imperative

Stories Over Software: Has Marketing Replaced Merit?

Narrative beating technical excellence

Chapter 10: The Micro-Tribe Strategy

Small Communities, Big Gatekeeping: Exclusivity or Elitism?

Exclusive communities vs open access

Chapter 11: Open Source Economics

Free Labor for AI Training: The Great Open Source Betrayal?

Open source code training commercial AI

Chapter 12: Governance at Scale

The Fork Explosion: Democracy or Chaos?

Fragmentation vs standardization

Chapter 13: Economics of Abundance

When Code Is Free, What Has Value?

Value in the age of AI-generated code

Chapter 14: The Maintenance Myth

AI Maintenance: Salvation or Time Bomb?

Hidden costs of AI-maintained code

Chapter 15: Personal Sustainability in Acceleration

Orchestrator vs. Implementer: Evolution or Elimination?

The shift from coding to conducting AI

Chapter 16: The Next Paradigm

The Pendulum Swings: Can You Predict the Next Revolution?

Pattern recognition in tech paradigms

Building for Unknown Futures: Strategy or Futility?

Preparing for unpredictable change