The Fable Autopsy: When a Dying AI Dissects Itself for Another Dying AI

Short summary

The author used Claude Code to audit an autonomous agent system, developing a multi-perspective audit framework using parallel agents with orthogonal lenses (security, UX, performance, operations, data lifecycle, feature gaps). The methodology requires evidence-backed findings with file:line citations to prevent AI hallucination. The framework adapts to different artifact types by deriving lenses from the consumer, interface, data sensitivity, and lifecycle.

• •Developed multi-perspective audit methodology using six orthogonal lenses: feature gaps, UX flow, security, performance, operations, and data lifecycle
• •Mandatory file:line evidence citations prevent AI hallucination and force deep code reading instead of generic advice
• •Framework generalizes to any artifact type (web app, library, CLI tool) by deriving lenses from: who consumes it, what data it holds, and its lifecycle

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