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Code Conversations — 151 episodes · page 1 of 2

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Title
1

How Developers Secure AI-Generated Code

2

AI Model vs Agentic Harness

3

Harnesses in AI: A Deep Dive

4

How Harness Engineering Creates AI Agents

5

Harness Engineering Fixes AI Digital Amnesia

6

Llama.cpp vs vLLM

7

AI in the SDLC

8

What is OpenClaw?

9

The 7 Skills You Need to Build AI Agents

10

What is LangChain?

11

LangChain vs LangGraph

12

RAG vs Agentic AI

13

RAG's Evolution

14

AI Agent Skills

15

MCP vs. RAG

16

RAG vs Fine-Tuning vs Prompt Engineering

17

A2A vs MCP

18

CLI vs MCP

19

Is RAG Still Needed?

20

MCP vs ADK: How Modern AI Agents Connect and Work Together

21

What is Retrieval-Augmented Generation (RAG)?

22

MCP vs API

23

Why MCP really is a big deal

24

Skills for the age of AI developer tools

25

Devs want specs, Product Owners want speed

26

When Copilots Run Wild

27

AI for MRI Diagnostics

28

AI-Driven Code Refactoring

29

The past, present, and future of AI for application developers

30

Conversational AI apps

31

LLMs and the illusion of humanity

32

2025 - The year of the AI Agent

33

The Evolution and Impact of Generative AI

34

Generative AI in JavaScript

35

Real world learnings delivering enterprise AI solutions

36

The Truth About The AI Bubble

37

AI Trends 2026

38

LLMs and the illusion of humanity

39

Design Engineering: The next era of Software Design

40

Build RAG from Scratch

41

https://www.youtube.com/watch?v=CaZbsbKnOho&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=47

42

Cybersecurity in the Era of AI

43

Using Gen AI on your code, what could possibly go wrong?

44

ChatGPT and OpenAI API solutions

45

Integrating Language Models into Web UIs

46

Using GPT Visual Capabilities to Solve a Wordle Puzzle

47

Video Game AI for Business Applications

48

Building specialized AI Copilots with RAG

49

The Rise of the Design Engineer

50

Cracking the Furby Code Evolving an Icon

51

GitHub Copilot AI for Coding, Learning, and Building

52

LLM Process Prompt to Prediction

53

AI Tools Change Software Design Not Just Speed

54

Building Useful AI in Web Applications with .NET

55

OpenAI and ChatGPT Enterprise Solutions: My Favorite Implementations

56

Farm Internet, Home Automation, and Llama Cam

57

Microsoft Security Copilot: Scaling Defense with Generative AI

58

Overcoming Imposter Syndrome with GitHub Copilot

59

Production Patterns for Generative AI APIs

60

Advanced HTML for Performance and Accessibility

61

Clone Yourself with Azure Custom Neural Voice

62

Ethical AI: Risks, Mitigation, and Humanitarian Impact

63

Engineering Generative AI Confidence

64

Practical Generative AI Applications and LLMs

65

Next Generation Developer Platforms and Architectural Archetypes

66

Advanced HTML for Good Developers

67

Azure Custom Neural Voice Clone Yourself

68

Ethical AI: Risks, Mitigation, and Humanitarian Impact

69

In Prompts We Trust: Engineering Language Models

70

Sprinkling AI: Practical Applications with GPT APIs

71

Next-Gen Developer Platforms & Deployable Architectural Archetypes

72

Achieving 10x Developer Productivity with Generative AI

73

Microsoft Security Copilot: A New Era in Cyber Defense

74

Mastering Imposter Syndrome with GitHub Copilot and Community

75

Production Scale Gen AI: API Patterns for Safety

76

Advanced HTML for Performance and Accessibility

77

Clone Yourself with Azure Custom Neural Voice

78

Ethical AI Understanding and Countering Risks

79

In Prompts We Trust

80

Sprinkle AI In Your App: Practical GPT Applications

81

Next Generation Developer Platforms & Deployable Architectural Archetypes

82

Generative AI: The 10x Developer's New Frontier

83

Ethical AI: Understanding and Mitigating Risks

84

In Prompts We Trust: Engineering Effective LLM Interactions

85

Practical AI: Integrating Generative Models into Applications

86

Innovating Development: Tools for Speed and Collaboration

87

Can you become a 10x developer using generative AI?

88

In Prompts We Trust - Jiaranai Keatnuxsuo

89

Practical Applications of Generative AI: How to Sprinkle a Little AI in Your App

90

Next Generation Developer Platforms & Deployable Architectural Archetypes

91

Can you become a 10x developer using generative AI?

92

Navigating the AI Landscape: Local, Large, and Ethical Choices

93

Secure AI with OWASP Principles

94

Generative AI for the .NET Developer

95

ChatGPT and OpenAI API solutions

96

Kubernetes and MLOps for Scalable and Reproducible Generative AI

97

What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML? - Erik Bamberg

98

Level up with GitHub Copilot: using AI to learn, code, and build - Michelle "MishManners" Duke

99

Neural Style Transfer: Generative AI Art and Science

100

Transformers and ChatGPT: The Rise of Generative AI