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

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

Published 4 months ago
Description

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.


Subscribe for daily AI strategy and news. For playbooks and analysis: https://natesnewsletter.substack.com/p/your-codebase-is-full-of-code-nobody?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true


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