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References

Chapter 1 - Making sense of AI

Reality

Randomness

Fooled by AI

Vibe Coding

AI Input

Mirror on Steroids

AI Scams and Failures

AI and Jobs

AI Theory

Research Papers

Chapter 4 - Agents

Coding Agents and Tools

MCP and Agent Architecture

MCP Security

Context and Documentation

Agent Patterns

Benchmarks

Chapter 2 - Machine Learning Basics

Machine Learning Fundamentals

Reinforcement Learning

Chapter 3 - Generative AI

LLM Models and Documentation

Transformers and Architecture

Vector Databases

Sound and Audio Generation

Image Generation

Fine-Tuning Research

Video Generation

Chapter 5 - Claude Code

Claude Code Documentation

Development Tools

Chapter 6 - Testing with AI

Testing Frameworks and Tools

Testing Blog Posts

API Documentation and Stress Testing

Chapter 7 - Migrations with AI

No additional external references.

Chapter 8 - Non-Obvious Use Cases

Ownership and Team Management

Chapter 9 - Learning from AI

AI Hallucination Research

Author's Published Works

Author's Technical Resources

Author's Online Presence

Author's GitHub Gist Repositories (Tiny Essays)

Author's GitHub Repositories (Side Projects)