multi-perspective-analysis

Multi-perspective code review analyzes code from specialist viewpoints like security and performance to identify blind spots. It conducts sequential focused analysis for each perspective, rates confidence, and outputs a ranked list prioritizing security, correctness, architecture, performance, and maintainability.

Architecture decision reviews benefit from evaluating decisions across multiple specialist angles rather than a single viewpoint. This approach merges results from sequential analysis, resolves conflicts, and generates a ranked actionable list prioritizing correctness and maintainability alongside security and performance.

Post-incident analyses and large refactor assessments are supported use cases for multi-perspective analysis. The approach applies sequential specialist viewpoints to the incident or refactor, rates confidence in findings, and synthesizes a prioritized list of actionable items.

To prioritize actionable items when findings conflict, multi-perspective analysis merges results and resolves conflicts through synthesis. It outputs a ranked list using a fixed priority order: security, correctness, architecture, performance, and maintainability.

During a security assessment, multi-perspective analysis conducts focused analysis for each perspective, rates confidence, and reports only high-confidence findings. This prevents noise and ensures the synthesized prioritized list contains actionable items with sufficient certainty.

Multi-perspective analysis may not suit trivial code changes or simple pull requests where sequential specialist viewpoints add unnecessary overhead. It is designed for security-sensitive pull requests, architecture evaluations, performance optimizations, and large refactor assessments requiring comprehensive blind spot identification.