Comprehensive scoring across every dimension that matters for AI-driven development. Each pillar contributes to your overall component score (0-10) with configurable weights and thresholds.
Your component's overall score is calculated using a weighted average of all enabled policy categories. Each category can be customized with different weights based on your team's priorities.
Development process hygiene including code review requirements, branching strategy compliance, and documentation completeness. Ensures consistent development practices across the team.
Traditional software quality metrics including test coverage, code complexity, maintainability, and documentation standards. Ensures long-term codebase health and developer productivity.
Tracks AI contribution percentage, monitors human review compliance, and ensures transparency in AI involvement. Critical for maintaining accountability in AI-accelerated development.
Comprehensive security assessment covering vulnerabilities, dependencies, secrets detection, and compliance requirements. Based on OSSF Scorecard with organizational customizations.
DevOps Research and Assessment metrics measuring deployment frequency, lead time for changes, change failure rate, and recovery time. Industry-standard indicators of team performance and velocity.
See how your codebase measures up across all 5 pillars of quality