AI Cross Validator

Dual-AI validation runs the same code through both Claude and Gemini simultaneously, comparing their findings to identify security vulnerabilities, performance anti-patterns, and accessibility gaps that one model might miss. Cross-comparison produces a consensus-driven action plan with higher confidence.

Yes. This validation covers React Native screens including Supabase RLS policies, TanStack Query patterns, React Navigation setup, and BaseScreen wrapper implementations, checking them against security, performance, and architecture best practices before deployment.

Cross-AI validation detects security vulnerabilities in Supabase RLS, performance anti-patterns in data fetching and rendering, accessibility gaps in screen components, architecture deviations from BaseScreen patterns, and violations of React Native best practices across the entire screen.

Submit your React Native screen file to the dual-AI validator, which analyzes it through Claude and Gemini, compares results, and resolves contradictions using web research. You receive a structured cross-AI report with prioritized findings and recommendations.

Single-AI review has inherent blind spots and limited perspective. Multi-AI validation reduces missed issues by 20% through simultaneous independent analysis from Claude and Gemini, then synthesizing their findings into a comprehensive, high-confidence report.

Yes. The Skill integrates both Claude and Google Gemini 2.5 Pro to perform simultaneous, independent validation. Both API connections are required to deliver the dual-perspective code review.