Governance that tells you where you stand, what to fix, and exactly how — without slowing you down or drowning you in noise.
A scanner flags 200 findings. 190 are false positives, but you won't know which ones until you've triaged them all. A security gate blocks your release with no explanation beyond "failed." The quality dashboard hasn't been updated since Q2 because the data hasn't been trustworthy since Q1.
Quality tools aren't built for you. They're built for the people who report on you. So they optimize for coverage (flag everything!) instead of clarity (flag what matters and tell me what to do about it).
You use Copilot or Cursor every day. Autonomous agents are opening PRs on their own. Your PRs are faster. But the governance layer doesn't distinguish between a developer using an assistant and an agent that autonomously generated the code. The same review process applies whether you wrote every line by hand or an agent generated 80% of it. Nobody's checking whether agent-authored code meets your team's specific standards — just whether the CI passes.
A clear score that tells you instantly where your component stands. Findings that include remediation — not just "this is wrong" but "here's how to fix it." Policies you can actually read, so you know what standard you're being measured against. Transparent analysis where you can expand any check and see exactly what passed and failed.
That's cheer.dev. Governance that respects your time and helps you write better code.
Every component shows 5 category scores with trend arrows: Hygiene, Quality, Security, Trust, and Velocity. Green means you're good. Yellow means attention needed. Red means something's off. The trend arrow shows direction — are you improving or declining?
No walls of warnings. No severity matrices. No "487 findings across 12 categories." Five numbers. One glance. You know exactly where you are.
lodash to >=4.17.21express to >=4.19.2When a policy condition fails, you don't get a red light with no context. You get a finding that shows:
The Activity timeline shows every analysis that ran on your component — Trust Analysis, Hygiene Analysis, Policy Evaluation. Each one is timestamped and expandable.
Click into a Hygiene Analysis and see exactly which checks ran: README completeness ✓, Branch protection ✗, License compliance ○, Code review activity ○. You see what passed, what failed, and what wasn't evaluated. No mystery about why your score changed.
This is the transparency that builds trust in the scoring system itself. If you can see the logic, you can trust the result.
Ever been blocked by a quality gate and had no idea what rule you violated? That doesn't happen here.
Policies show category weights (sliders showing emphasis: 30% Security, 25% Trust, 20% Quality, 15% Hygiene, 10% Velocity). Within each category, individual conditions are listed with their severity (Critical, Major, Minor), their expected thresholds, and their enabled/disabled status.
You can read the policy that governs your component. You know what "passing" looks like before you push. No surprises.
"Developers are transitioning from creators to curators — reviewing, refining, and validating AI-generated code."
— CIO.com, 2026
Clear scores and actionable findings cut through the debugging noise. You know what's wrong, why, and how to fix it — whether the code was written by a human or an AI.
Clear scores. Actionable findings. Policies you can read. Start building trust in your code.