parallel-evaluation

A multi-agent parallel evaluation operates in three phases: collect targets and define scope, perform parallel scans using 2-4 agents from different perspectives, and apply a Worth-It filter to retain only actionable items. This generates an action-ready report for code reviews or architecture assessments.

The Worth-It filter in parallel architecture evaluations retains only actionable items by consolidating findings from diverse perspectives. It operates in Phase 3 to filter out noise, ensuring your action list contains only high-value improvements.

Yes, you can configure lenses for multi-agent code reviews. The parallel evaluation supports lens configurations, allowing 2-4 agents to scan targets from diverse, customized perspectives during Phase 2 to surface specific architectural or quality improvements.

The best way to assess refactor decisions is using parallel scanning to consolidate findings from 2-4 agents. By applying a Worth-It filter after collecting diverse perspectives, you retain only actionable improvements for confident decision-making.

Yes, parallel evaluation supports linux agents for incident reporting. You can configure linux agents during Phase 2 to perform parallel scans, consolidating multi-perspective findings to surface actionable improvements for incident reviews.