Every release is a leap of faith. Quality gates driven by policy replace guesswork with evidence. Ship when the scores say you're ready — not when someone feels brave.
CI passes. Tests are green. Code review approved. Ship it, right? Maybe. But CI only checks what you told it to check. Tests only cover what you wrote tests for. And "approved" might mean someone clicked a button at 4:57pm on a Friday.
You've tried release checklists. They're stale by the second sprint. You've tried manual sign-offs. They bottleneck at the people who can never say no fast enough. You've tried "just trust the team" — which works until the one time it doesn't and nobody can explain what happened.
A system that evaluates readiness against your own policies at every pipeline stage. That shows you exactly which conditions passed and which didn't. That puts humans in the loop for critical decisions — with full context, not just an "approve/reject" button. And that understands your component dependencies well enough to show blast radius before you commit.
cheer.dev's Release surface gives you all of this. Stage-based quality gates, approval workflows, dependency visualization, and automated communications. Governance that accelerates shipment by removing ambiguity, not adding bureaucracy.
Model your deployment pipeline as a sequence of stages — development, staging, production, or whatever your team calls them. At each stage, quality gates evaluate the component's Scorecard scores against your policies.
A component with a Security score of 5.3 isn't blocked by opinion. It's blocked by policy — the same policy your team agreed to when they configured their workspace. The gate tells you exactly which conditions aren't met and what the expected thresholds are.
Pass the bar, progress to the next stage. Miss it, get clear findings with remediation guidance. No ambiguity. No arguments about "good enough."
lodash to >=4.17.21express to >=4.19.2Some decisions shouldn't be automated. A major version bump to a core API. A release during a holiday freeze. A component with override history.
Approval workflows put the right people in the loop at the right stage — with full context. Approvers see the component's Scorecard scores, open findings, recent activity, and dependency impact. They make informed decisions, not blind sign-offs.
When an override happens, it's recorded. When an approval is granted, it's timestamped with the approver's identity and the score context at that moment. Complete audit trail, every time.
Your user-service depends on auth-service which depends on the shared database. If you release a new version of auth-service, what's the impact?
cheer.dev's dependency graph visualizes how your components connect — services to databases, APIs to downstream consumers, libraries to the applications that import them. Each component card shows type, lifecycle stage, and metadata.
Before you approve a release, you see what it affects. Not in a spreadsheet. Not in someone's head. In an interactive graph that shows the relationships your team defined.
Releases happen. Dependencies change. Security findings appear. The people who need to know should find out automatically — not when someone remembers to post in Slack.
Configure notification rules that trigger on specific events: Version Released, Dependency Release, Security Finding. Set conditions (severity thresholds, component filters). Choose channels. Customize templates. Preview before activating.
Enable or disable rules with a toggle. See trigger history. Know that the right people got the right information at the right time — without making it someone's manual job.
Reduction in production incidents
Teams using policy-driven quality gates
Faster release velocity
When governance removes ambiguity, teams ship more confidently
Of code is AI-generated
Every release now includes code no human fully wrote — governance matters more, not less
Release gates are powered by Scorecard scores. The policies you configure drive both measurement and governance.
Learn about Scorecard →AI Code GovernanceTrust scores factor into release gates. AI-generated code is governed end-to-end.
Learn about AI Code Governance →Quality gates at every stage. Approval workflows with full context. Governance you can trust.