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
Three rule types are live today; the remaining six ship through Q3 2026. All nine are designable in natural language via AI chat — Gitrevio compiles your description into a rule.
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
Five delivery channels: Slack, email, webhook (HMAC-signed with retry + DLQ), in-app inbox, or MCP-triggered for agentic workflows.
Create alerts through the web UI, in AI chat, via the REST API, or through
gitrevio_alert_create in MCP. Each method is equally capable; alerts are first-class write actions, not read-only suggestions.
Manage alerts, not noise
We built Gitrevio alerts with alert fatigue in mind. Every design decision aims to reduce noise and increase signal.