Welcome to Koalr

Most production incidents start in a pull request. Not a catastrophic one — a routine one. A Thursday afternoon merge, one reviewer, looks fine. Three hours later, something is broken in production and nobody is sure why.

The problem is not that engineers make mistakes. The problem is that nothing in the standard review process gives reviewers an objective signal about how risky a change actually is. Two hundred files changed, a core service modified, a reviewer with twelve other open PRs — and the only input is a green checkmark.

What Koalr does

Koalr sits alongside your existing GitHub workflow and scores every pull request on 36 signals — file churn, blast radius, change entropy, reviewer load, CODEOWNERS compliance, recent revert history, and more. Each PR gets a score from 0 to 100 and a risk label: Low, Medium, High, or Critical.

The score does not replace review. It gives reviewers a number to orient around. When a PR scores 87, the conversation is different. The questions are sharper. The bar for approval is higher. The right people get asked to look at it.

Beyond risk scoring, Koalr tracks the metrics that tell you how your engineering organisation is actually performing: DORA metrics (deploy frequency, lead time, change failure rate, MTTR), PR cycle time, review throughput, flow efficiency, and test coverage trends. All connected, all in one place.

Who it is for

Koalr is built for engineering teams who ship regularly and want more confidence in what they are shipping. It is most useful for teams between ten and a few hundred engineers — large enough that review quality varies, small enough that a single bad deploy hurts.

You do not need to change how you work. Connect your GitHub organisation, and Koalr starts scoring within minutes.

Try it now — no account needed

The fastest way to understand what Koalr does is to run it against a real PR. The live risk demo scores any public GitHub pull request in seconds. Paste a URL, get a score. No signup, no install.