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.
Built-in alert types
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 anywhere, create anywhere
Alerts land where you'll see them: email, Slack (channel or DM), in-app notifications, or via MCP for agentic workflows.
Create alerts through the web UI, in AI chat, via the REST API, or through MCP. Each method is equally capable.
Manage alerts, not noise
We built Gitrevio alerts with alert fatigue in mind. Every design decision aims to reduce noise and increase signal.