multi-review

name	multi-review
description	Launch parallel AI code reviews with multiple reviewers, then synthesize results.
argument-hint	[scope or file-path]

Multi-Review: Parallel AI Code Review

Launch multiple parallel reviewers, then synthesize results.

Step 1: Determine Parameters

Parse $ARGUMENTS for scope.

Step 2: Launch Reviews

Launch 3+ reviewer agents in parallel, each focused on a different aspect:

• Architecture compliance (project patterns, interface adherence)
• Code quality + security (OWASP, complexity, naming)
• Test coverage (gaps, quality, isolation)

Step 3: Synthesize Results

After all reviewers complete:

1. Deduplicate findings — merge overlapping issues, keep highest severity
2. Categorize — Critical, High, Medium, Low, Info
3. Cross-reference — note reviewer consensus (higher confidence)
4. Summarize — overall assessment

Write synthesis with:

## Executive Summary

## Critical & High Findings

## Medium Findings

## Low & Informational

## Reviewer Agreement Matrix

## Statistics
- Total unique findings: N
- By severity: CRITICAL: N, HIGH: N, MEDIUM: N, LOW: N

Step 4: Create Issues (Optional)

Create tracking issues for Critical/High findings as needed.

Cross-References

• @code-review — Standard 2-phase review
• @security-review — Security-focused review