Andre Kaminski, Director of Advanced Technology Solutions at WorkSafeBC and author of "The AI-Native Software Development Lifecycle," joins Peter and Dave to talk about what it actually means to rebuild your delivery process around AI, not just bolt it on.
They get into why optimizing code generation alone is the wrong focus, what the six phases of an AI-native SDLC look like in practice, and why the biggest challenge isn't the technology at all. It's the identity shift that comes with it.
If your organization is asking "which AI tool should we use?" this episode will help you realize that's probably the wrong question.
In this episode:
Why AI-augmented and AI-native are very different things
The compounding learning effect and why early adopters are pulling further ahead every month
What prompt architecture actually means and why it matters more than code
How to think about governance when prompts become your new source of truth
Chapters:
0:00 Welcome And Guest Introduction
2:00 Why AI Change Hits People
6:40 Identity Shock And Emotional Resistance
13:20 Speed Curves And Tool Adoption Traps
20:40 AI Native Versus AI Augmented
27:50 The Six Phases Of AI Native
35:00 Governance Prompt Skills And Vocabulary
41:20 Compounding Learning And Industry Disruption
45:10 Three Takeaways And Closing
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