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

Podcast · ~19 min · Podcast

• AI-generated code at scale creates “dark code” — software that ships but that nobody on the team fully understands — representing an organisational capability crisis, not a code quality problem.
• Amazon’s post-layoff codebase illustrates what happens when comprehension is not a deployment gate: systems run but the organisation loses the ability to modify, debug, or extend them safely.
• Introduces a three-layer framework: spec-driven development (comprehension before generation), self-describing architectures (code that documents its own intent), and comprehension gates (mandatory checkpoints before deployment).
• Practical takeaway: code generation velocity amplifies the cost of unclear specifications upstream; invest in spec tooling and comprehension gates now, before dark code accumulates to the point of organisational fragility.