I Looked At Amazon After They Fired 16,000 Engineers. Their AI Broke Everything.

What's really happening inside your codebase when AI writes code nobody fully understands?

The common story is that dark code is a security or engineering quality problem. But the reality is more complicated: it's an organizational capability crisis that is only going to get worse.

In this video, I share the inside scoop on dark code and what actually fixes it:

• Why observability and agent pipelines don't solve the core problem

• How spec-driven development forces comprehension before code exists

• What self-describing systems look like and why they matter at AI speed

• Where a comprehension gate catches what the first two layers miss

Every builder, founder, and engineering leader shipping AI-generated code right now faces a choice: treat dark code as an organizational discipline problem, or keep driving with the headlights off.

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