Alerts that detect patterns, not just thresholds
Threshold-based alerts tell you a number crossed a line. Gitrevio alerts tell you a pattern is forming — a bottleneck emerging, an attrition risk shifting, a sprint going off-track — before the damage is done.
Nine built-in alert rule types
Seven rule types are live today — PR stuck, AI ROI dropping, attrition risk spike, bus factor crash, sprint at risk, build failures, and security issue detected. The remaining two (anomaly detection and complexity spike) are in progress.
What alerts look like in practice
Each alert includes context, cause, and a suggested action. Not a number — a story.
Pattern detection, not threshold math
Traditional alerts fire when a number crosses a line: "cycle time > 5 days." The problem? That threshold is arbitrary, context-free, and either too noisy (fires constantly) or too late (fires after the damage).
Gitrevio's AI learns your team's baselines, seasonal patterns, and normal variance. It alerts on meaningful deviations — the kind that experienced engineering leaders would notice, not the kind that a simple rule catches.
It also correlates across signals. An attrition risk alert isn't triggered by a single metric — it's the combination of declining commit frequency, reduced review participation, and increased context switching that forms the pattern.
Deliver where your team already works
Delivery channels: Slack, email (SendGrid), webhook (HMAC-signed with retry), and in-app inbox. An hourly evaluator fires the live rules and routes each alert by severity to the channel you configure.
Create and manage alerts through the web UI or the REST API — pause, unpause, and acknowledge included. Critical and P1 conditions escalate to an ops-Slack channel.
Manage alerts, not noise
We built Gitrevio alerts with alert fatigue in mind. Every design decision aims to reduce noise and increase signal.