What problem does it solve?
It helps you review code changes rigorously by running parallel adversarial review layers and turning the results into a structured set of actionable triage items.
Core Features & Use Cases
- Adversarial multi-layer review: Blind Hunter (diff-only), Edge Case Hunter (diff + project read access), and Acceptance Auditor (diff + spec/context) run in parallel to surface different failure modes.
- Structured triage into next actions: Findings are normalized, deduplicated, and classified into decision-needed, patch, defer, or dismiss (noise).
- Spec-aware acceptance auditing: When a spec/story file is provided, the workflow checks changes against acceptance criteria and related context docs, and persists findings back into the story.
- Guided execution with checkpoints: The workflow halts for human confirmation when reviewing targets are unclear, when decisions are needed, and when patches must be handled.
Quick Start
Ask an AI agent to run code review for your changes so it can gather the diff, optionally load a spec, and produce categorized findings ready for action.