Comprehensive scoring across every dimension that matters for AI-driven development
Code reviews, branching strategy, documentation
Test coverage, complexity, maintainability metrics
Human oversight, AI tracking, guardrail compliance
Vulnerability scanning, dependency checks, secrets detection
Deployment frequency, lead time, failure rate
AI accelerates development by 10x — but only with the right guardrails
Harness AI's speed and productivity gains while maintaining quality, security, and compliance
AI can generate code 41% faster, but speed without control leads to chaos. Our platform ensures human expertise validates critical decisions while AI handles the repetitive work.
Automated workflows pause for human review at security boundaries, compliance gates, and architectural decisions
AI identifies when human expertise is needed based on complexity, risk, and regulatory requirements
Complete traceability of AI-generated code with comprehensive audit trails for accountability
Connects with your existing testing tools to analyze coverage, quality trends, and test effectiveness. Transforms test data into actionable quality scores.
CI/CD metrics ingestion
Automatically pulls test results from your pipeline
Coverage trend analysis
Identifies quality patterns and improvement opportunities
45% of AI code fails security tests. We catch vulnerabilities before they reach production through embedded analysis.
Static & dynamic analysis
SAST/DAST in every pipeline run
Compliance verification
SOC2, HIPAA, PCI-DSS automated checks
Let AI handle the heavy lifting while humans ensure quality, security, and compliance at every critical juncture
Enable GovernanceIndustry data reveals the hidden costs of unmanaged AI code generation
Veracode 2025: Nearly half of AI-generated code fails security tests and introduces OWASP Top 10 vulnerabilities
Stack Overflow 2025: Only 1 in 3 developers trust AI-generated code (down from 43% in 2024)
CodeScene 2025: Three-quarters of tech leaders will be impacted by high technical debt by 2026
CodeScene: Nearly half of development time wasted on maintenance
Stack Overflow 2024: Two-thirds struggle with "almost-right" AI suggestions
GitClear 2024: 8x increase in duplicated code blocks during AI adoption
AI generates 41% of all code — but without proper guardrails, it's creating more problems than it solves
Real-time component scoring with policy-driven insights
Our policy-driven scoring evaluates Security, AI Trust, Quality, DORA metrics, and Code Hygiene. Each component gets a clear 0-10 score that rolls up to team intelligence and informs release decisions.
↗ +0.3 overall improvement
3 recommendations available
Real results from teams using cheer.dev for AI-trusted development
Join teams using cheer.dev to improve AI trust scores by 41% while reducing AI-related production incidents by 95%.