Coverage gaps become deploy risk signals.
Koalr connects your test coverage data to deployment risk prediction. Low coverage on high-churn files is a leading indicator of incidents — Koalr surfaces it before it costs you.
Works with your existing coverage tools
Coverage intelligence, not just coverage numbers
Coverage % alone doesn't tell you what will break. Koalr finds the files that matter.
Coverage as a risk factor
Test coverage % is factored into deploy risk scoring — low coverage raises the risk score automatically.
Hotspot detection
Cross-reference low coverage with high file churn to find the files most likely to cause incidents.
Threshold alerts
Set a minimum coverage % per repo. Get a Slack alert the moment coverage drops below your threshold.
PR coverage delta
See exactly how much coverage each PR adds or removes — before you merge.
Coverage by developer
Attribute coverage changes to individual PRs and authors. See who's improving coverage and who's not.
Correlation analysis
Quantify the relationship between low coverage and incident rate across your repos.
The hotspot you're not seeing
Most coverage tools show you aggregate percentages. Koalr goes further: it cross-references coverage gaps with file change frequency. A file with 12% coverage and 8 commits in 30 days is a ticking clock. You'll see it in the hotspot report — not in your next postmortem.
Find the hotspots before they find you.
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