Swiss Cheese Validation

Verifying critic independence involves scoring orthogonality across multiple evaluation layers and generating overlap reports. This process detects shared blind spots and overlapping failures across code, security, and domain critics to ensure reliability.

Orthogonality scoring in quality assurance quantifies the independence of different critic layers. By analyzing overlapping failures across multiple agents, it identifies shared blind spots and calculates a score representing how independently each layer evaluates code.

Detecting overlapping failures requires applying validation across active critic layers in the latest evaluation batch. The system analyzes shared rejections across sessions and generates reports surfacing bad alignments and shared blind spots.

Configuring custom layer definitions for domain-critics and security-critics is supported. You can define specific layer parameters to match your automated review processes and generate tailored validation reports for ongoing monitoring.

Multi-agent validation should be used when automated review processes rely on multiple critics and need to prevent shared blind spots. It ensures that different evaluation layers maintain orthogonal failure modes for reliable quality assurance.