Platform Overview

One platform. Score and govern AI contributions end-to-end.

Scorecard scores your components across 5 categories. Release governs your pipeline with quality gates, approvals, and dependency awareness. Both driven by the same policies.

How It Works

Five steps to trusted releases

Step 01

Connect Your Repositories

Install the GitHub App, select your repos. No code changes required, no CI configuration, no SDK to integrate.

One-Click Setup

Install the GitHub App and select repositories. Events flow automatically — pushes, PRs, security alerts.

Zero Configuration

No YAML files, no pipeline changes. Cheer listens to your existing GitHub events and starts scoring immediately.

Step 02

Define Your Standards

Set the quality thresholds and governance standards that matter to your team. Configure policies with weights, conditions, and rules across all five categories.

Category Weights

Adjust the importance of Hygiene, Quality, Security, Trust, and Velocity to match your team's priorities.

Configurable Conditions

Enable or disable individual rules. Set thresholds per condition. Apply different policies to different component types.

Step 03

Get Scored Automatically

Every push, PR, and security event triggers analysis. Your components receive a 0-10 score across 5 categories, updated in real-time.

Metric Analysis

GitHub webhooks — Dependabot alerts, secret scanning, code scanning results — processed directly into metrics with no AI overhead.

AI Analysis

AI agents analyze hygiene, trust, PR completeness, and code patterns for deeper insights beyond what webhooks capture.

Component Score8.7/10
Release Ready
Hygiene8.4
Quality8.2
Trust8.5
Security9.1
Velocity9.0
Step 04

Act on Findings

Every score includes specific, actionable findings with remediation guidance. Know exactly what to fix and how to fix it.

Prioritized Findings

Findings ranked by severity — critical, major, minor. Focus on what matters most to your score and security posture.

Remediation Guidance

Specific steps to resolve each finding, with AI-generated recommendations tailored to your codebase.

CriticalNo branch protection on main
CategoryHygiene
Impact-1.2
RemediationEnable branch protection rules in repository settings
Step 05

Ship with Confidence

Quality gates determine release readiness based on your configured thresholds. No more guessing whether code is ready to ship.

Automatic Decisions

Configurable thresholds drive release decisions automatically.

≥ 8.0 — Automatic release
6.0 – 7.9 — Manual review required
< 6.0 — Release blocked

CI/CD Integration

Plug quality gates into your existing deployment pipeline.

GitHub Actions workflow
REST API for custom tooling
Webhook notifications
Capabilities

Everything you need to
govern with confidence

Workspaces

Team-based organization with role-based access

Policy Engine

Configurable weights, conditions, and thresholds per category

AI Analysis

Trust and hygiene checks powered by AI, alongside policy evaluation

Integrations

GitHub App, CI/CD webhooks, external security tools

Activity Audit Trail

Every analysis, every check, timestamped and filterable

Findings Aggregation

Workspace-level view by severity, category, and source

Two Surfaces

Score. Then ship.

Scorecard

Quality scoring that builds trust in AI contributions

OverviewQuality dashboard
Overall Health
8.7
Hygiene8.4No change
Quality8.2No change
Security9.1Stable
Trust8.5Stable
Velocity9Stable
Key Insights2
Score improved 1.2 points on auth-service
Hygiene trending up across 3 components
Actionable Findings3
Major
2
Minor
1
Score Trend
90d30d7d
Score DistributionSecTruQuaHygVel
Learn more →
Release

Human-in-the-loop governance that accelerates AI

Stages & GatesRelease pipeline
Development
Passed
auth-service
8.7
dashboard-ui
7.2
user-api
9.1
Staging
In Progress
auth-service
8.7
dashboard-ui
7.2
user-api
9.1
Production
Pending
auth-service
dashboard-ui
user-api
Quality gates: min score 7.02/3 stages passed
Learn more →

Ready to Start Building Trust?

Join teams using quality scores and actionable findings that drive continuous improvement.