Impact
Trace the modules and dependency paths a change could reach.
Analyze a public pull request or upload your own change to estimate blast radius, relevant tests, engineering risk, workflow delays, and the safest next action.
Your code is analyzed as text and metadata. It is never executed.Temporary workspaces are removed automatically after each request. Dependencies, hooks, scripts, filters, and containers are never run.
Each prediction includes confidence and the evidence that produced it.
Trace the modules and dependency paths a change could reach.
Select high-signal checks and show the safety trade-off.
Score technical and workflow risk with visible evidence.
Estimate feedback time, reruns, review delay, and bottlenecks.
Compare interventions and identify the safest practical move.
Combine module dependencies, ownership, tests, CI history, and workflow events.
Treat changed files as an intervention and traverse likely technical and delivery effects.
Simulate targeted tests, full CI, reviewer changes, splitting, reruns, or no intervention.
Platform teamsMake test and workflow policy evidence-driven.
Engineering leadsSee cross-team consequences before review stalls.
Teams with expensive CIReduce feedback cost without hiding residual risk.
The interactive experience uses a fictional commerce repository and synthetic workflow history. It is designed to show the product flow—not claim customer outcomes.
Open the demo →