Claude Code Conversations with Claudine cover art

All Episodes

Claude Code Conversations with Claudine — 116 episodes

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Title
1

Why AI-generated tests are not the same as tests

2

Why Does the Second System Effect Hurt AI Development?

3

How Much Should You Verify AI Output? The Trust Calibration Problem

4

What Does Version Control Look Like When AI Writes Code?

5

Why Does AI Speed Create Architectural Debt?

6

Why the Best AI Builders Aren't Coders — They're Editors

7

Is Your Prompt Versioning Strategy Production Ready?

8

What Broke Production? The AI Prompt That Exposed System Design Flaws

9

Why You Should Treat LLMs Like Compilers, Not Senior Developers

10

Is Your Prompt Versioning Strategy Creating Technical Debt?

11

How Do You Design Systems That Teach AI?

12

How Are Independent Builders Competing in Global Markets?

13

What Are An Architect's True Responsibilities?

14

Why Are Invisible Errors Sabotaging Your Work?

15

How Is the Engineering Layer Transforming AI Development?

16

How to Build Micro-Companies Using AI Tools

17

How is the AI Builder Economy Creating New Infrastructure?

18

How Custom Silicon Is Reshaping the Global AI Power Balance

19

Why Experience Matters More Than Prompt Skills in AI

20

Are You Building a Product or Just Wrapping Someone's API?

21

Why Is There A Builder Renaissance Happening Now?

22

What Is the Investment Tsunami and How Will It Impact Your Money?

23

Why AI Companions Are Changing Everything

24

Who Owns AI-Generated Code When Your AI Agent Refactors It?

25

Why Does Your LLM Work in Staging But Fail With Real Users?

26

Why Senior Developers Are Becoming the Ultimate Editors in the Age of Generative Code

27

Why Does Your Agent Hallucinate Perfection While the Actual System Is Quietly Failing?

28

The Human Bottleneck: Why Cognitive Load Is The Real Limit Of AI Development

29

Are you fixing bugs with AI or just creating future technical debt?

30

The Benchmark Problem

31

One Factory in Taiwan Controls All of AI

32

Who Do You Trust? America's 31% Problem

33

Responsible AI Is Losing the Race

34

The Gap Is Gone: Is China Winning the AI Race?

35

The $172 Billion Nobody Is Paying For

36

Junior Devs Are Being Erased

37

Builder Story: Deploying an AI-Built System

38

The Jagged Frontier: Gold Medal Math, Can't Read a Clock

39

AI as a Co-Engineer

40

The New Economics of Building Tools

41

Two Layers of Uncertainty — Building Agentic Apps with AI

42

Agents in the Wild — Agentic Apps at Enterprise Level

43

The Velocity Trap -- Enterprise AI-Assisted Development

44

Why Software Teams Will Shrink

45

The Infrastructure of AI Startups

46

The Domain Expert Advantage

47

The Confidence Problem in AI Code

48

AI Engineering vs Traditional Engineering

49

Builder Story: The First System You Build With AI

50

Architecture Thinking for AI Systems

51

The Future of Independent Builders

52

The Age Advantage in the AI Economy

53

AI Collaboration Failures

54

Designing Systems That Guide AI

55

The Rise of the Independent Software Architect

56

Infrastructure for AI-Driven Systems

57

The Invisible Debt in AI-Assisted Development

58

Why Wisdom Matters More Than Code

59

When AI Makes Convincing Mistakes

60

The Role of Judgment in AI Development

61

Builder Story: Scaling a System Built With AI

62

Systems Thinking in the AI Era

63

The Experience Gap in Modern Development

64

AI Systems That Rewrite Themselves

65

The Discipline of AI Engineering

66

The Economics of Solo SaaS Builders

67

Agent Frameworks and the Future of Development

68

The Chief Engineer Model

69

The Silent Drift of AI Architectures

70

Designing AI Systems for Longevity

71

Builder Story: Launching a Micro-Software Product

72

Building Systems That Outlive Their Creators

73

The New Market for Vertical Software

74

Opus 4.7 Dropped Today — We Upgraded Claudine Live and Asked Her What Changed

75

Experience vs Speed in Software Creation

76

Why AI Projects Collapse After Version One

77

Structured Development in the AI Era

78

Why AI Will Create Thousands of Small Software Companies

79

AI Development Infrastructure

80

Architects vs Programmers

81

The Hidden Cost of Fast Code Generation

82

The Human as System Governor

83

When AI Tools Agree — And Are All Wrong

84

The Small-Step Method of AI Development

85

The Vertical AI Startup Explosion

86

AI Orchestration Layers Explained

87

The Return of the Software Architect

88

The Over-Automation Trap

89

The Pause That Protects Your Architecture

90

The 1-Prompt Startup

91

The Automation Stack of the Future

92

Experience as a Superpower in the AI Era

93

When AI Refactors Break Your Architecture

94

Why Small Teams Will Beat Large Software Companies

95

AI Agents vs Traditional Software

96

Claude Code in Practice: Extended Context

97

The Architect–Engineer Hybrid

98

The Danger of “Prompt and Pray” Development

99

The Verification Principle: How Boris Cherny and the Chief Engineer Arrived at the Same Idea

100

Builder Story: Building a Podcast Factory With AI

101

The New Economics of Building Software

102

Claude Code vs Traditional Development

103

Why Domain Experts Now Have an Advantage

104

The Illusion of Working Code

105

The Human Chief Engineer

106

Designing Systems AI Can Safely Modify

107

The Architecture Layer of AI Development

108

From Prompting to Engineering

109

The Rise of the One-Person Software Company

110

The Biggest Mistake People Make With AI Coding

111

Why AI Needs Architects, Not Just Programmers

112

Episode 5: Don't Let Intelligence Steal Your Role | Independence

113

Episode 4: Velocity vs. Safety | The Pause Is the Moment

114

Episode 3: Code Review | Guard Against Confident Wrongness

115

Episode 2: Silent Failures | Spot AI Code's Quiet Dangers | AI Guardrails

116

Episode 1: Coding With Claude Code | What It Gets Right (and What It Doesn’t)