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All Episodes

Code Conversations — 131 episodes

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Title
1

MCP vs API

2

Why MCP really is a big deal

3

Skills for the age of AI developer tools

4

Devs want specs, Product Owners want speed

5

When Copilots Run Wild

6

AI for MRI Diagnostics

7

AI-Driven Code Refactoring

8

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

9

Conversational AI apps

10

LLMs and the illusion of humanity

11

2025 - The year of the AI Agent

12

The Evolution and Impact of Generative AI

13

Generative AI in JavaScript

14

Real world learnings delivering enterprise AI solutions

15

The Truth About The AI Bubble

16

AI Trends 2026

17

LLMs and the illusion of humanity

18

Design Engineering: The next era of Software Design

19

Build RAG from Scratch

20

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

21

Cybersecurity in the Era of AI

22

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

23

ChatGPT and OpenAI API solutions

24

Integrating Language Models into Web UIs

25

Using GPT Visual Capabilities to Solve a Wordle Puzzle

26

Video Game AI for Business Applications

27

Building specialized AI Copilots with RAG

28

The Rise of the Design Engineer

29

Cracking the Furby Code Evolving an Icon

30

GitHub Copilot AI for Coding, Learning, and Building

31

LLM Process Prompt to Prediction

32

AI Tools Change Software Design Not Just Speed

33

Building Useful AI in Web Applications with .NET

34

OpenAI and ChatGPT Enterprise Solutions: My Favorite Implementations

35

Farm Internet, Home Automation, and Llama Cam

36

Microsoft Security Copilot: Scaling Defense with Generative AI

37

Overcoming Imposter Syndrome with GitHub Copilot

38

Production Patterns for Generative AI APIs

39

Advanced HTML for Performance and Accessibility

40

Clone Yourself with Azure Custom Neural Voice

41

Ethical AI: Risks, Mitigation, and Humanitarian Impact

42

Engineering Generative AI Confidence

43

Practical Generative AI Applications and LLMs

44

Next Generation Developer Platforms and Architectural Archetypes

45

Advanced HTML for Good Developers

46

Azure Custom Neural Voice Clone Yourself

47

Ethical AI: Risks, Mitigation, and Humanitarian Impact

48

In Prompts We Trust: Engineering Language Models

49

Sprinkling AI: Practical Applications with GPT APIs

50

Next-Gen Developer Platforms & Deployable Architectural Archetypes

51

Achieving 10x Developer Productivity with Generative AI

52

Microsoft Security Copilot: A New Era in Cyber Defense

53

Mastering Imposter Syndrome with GitHub Copilot and Community

54

Production Scale Gen AI: API Patterns for Safety

55

Advanced HTML for Performance and Accessibility

56

Clone Yourself with Azure Custom Neural Voice

57

Ethical AI Understanding and Countering Risks

58

In Prompts We Trust

59

Sprinkle AI In Your App: Practical GPT Applications

60

Next Generation Developer Platforms & Deployable Architectural Archetypes

61

Generative AI: The 10x Developer's New Frontier

62

Ethical AI: Understanding and Mitigating Risks

63

In Prompts We Trust: Engineering Effective LLM Interactions

64

Practical AI: Integrating Generative Models into Applications

65

Innovating Development: Tools for Speed and Collaboration

66

Can you become a 10x developer using generative AI?

67

In Prompts We Trust - Jiaranai Keatnuxsuo

68

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

69

Next Generation Developer Platforms & Deployable Architectural Archetypes

70

Can you become a 10x developer using generative AI?

71

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

72

Secure AI with OWASP Principles

73

Generative AI for the .NET Developer

74

ChatGPT and OpenAI API solutions

75

Kubernetes and MLOps for Scalable and Reproducible Generative AI

76

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

77

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

78

Neural Style Transfer: Generative AI Art and Science

79

Transformers and ChatGPT: The Rise of Generative AI

80

Unlocking the Potential of AI

81

Exploring ChatGPT for Improved Observability

82

Banking Cybersecurity: Battling DeepFakes & AI-powered Scammers

83

Prompt Injection: When Hackers Befriend Your AI

84

Software Engineering Careers 2025 Roadmap

85

What It Takes To Be A Software Engineer

86

Becoming a Software Engineer

87

Product Management Is Dead?

88

AI Agents into Product Management Workflows

89

Key Capabilities of an AI Product Management Agent

90

What will AI product management agents do for us?

91

Future Potential of AI-Driven Product Management

92

Using AI to write a product requirements document

93

Product Management in the Age of AI

94

Google's AI Prompt Engineering Course Summary

95

Lean Team Topologies for Amplified Productivity

96

9 DevOps Team Patterns

97

Team Topologies with Matthew Skelton

98

Platform as a Product - Why Platform as a Product?

99

A Team-Centric Approach: Kubernetes as Foundation, Not Platform

100

Designing Teams for Modern Software Systems

101

Team Topologies: Thinnest Viable Platform (TVP)

102

Platform as a Product: Fundamentals and Best Practices

103

Team Topologies, Cognitive Load & Complex Systems

104

Building Successful Platform Teams

105

Team Topologies

106

What are AI Agents?

107

Scaling AI Model Training and Inferencing Efficiently with PyTorch

108

What is PyTorch_ (Machine_Deep Learning)

109

What is Back Propagation

110

Large Language Models Are Zero Shot Reasoners

111

Supervised vs. Unsupervised Learning

112

Use AI-Powered Automation to Accelerate Auto Claims Processing

113

What is an RBM?

114

What is a Knowledge Graph?

115

What is Random Forest?

116

What is NLP (Natural Language Processing)?

117

What are GANs (Generative Adversarial Networks)?

118

What are Convolutional Neural Networks (CNNs)?

119

Why Are There So Many Foundation Models?

120

Five Steps to Create a New AI Model

121

Intro to Large Language Models

122

Large Language Models (LLMs) - Everything You NEED To Know

123

What are Large Language Models (LLMs)?

124

Introduction to large language models

125

How Event Driven Architectures Go Wrong & How to Fix Them

126

Event-Driven Architecture by Martin Fowler

127

Darkside of Event-Driven Architecture

128

A Beginner's Guide to Event-Driven Architecture

129

Event Driven Architecture by Dave Farley

130

Event-Driven Architecture

131

Event-Driven Architecture vs Request-Response Architecture