#S2 The Loot Report: Five Strangers Audited My Systems in One Day

Short summary

A physical therapist building hospital internal tools with AI describes how five community comments exposed real gaps in his shipped systems — from health checks that conflated silence with proof, to ML release gates validating the wrong file, to security scanners never tested for false positives. Each hole was closed within an hour using AI-assisted fixes. The unifying lesson: validate the artifact you actually ship, not the one you built, and test your guardrails against valid input, not just bad input.

• •Five community comments exposed gaps in shipped systems: health checks, ML gates, security scanners, deployment validation
• •Core lesson: validate the artifact users actually receive, not the one you built
• •Test guardrails with known-good input to catch false positives before AI agents 'fix' correct code

Generated with AI, which can make mistakes.