Bring your code context to automatically generate human-readable descriptions for feature gates, experiments, metrics, and events. Pre-requisite: This feature is powered by Statsig's new Github AI Integration.
We have observed that many Statsig users have empty descriptions for their entities (feature gates, metrics, experiments, etc.) in Statsig. This is despite users knowing that good descriptions are super useful in understanding the purpose of any entity.
Statsig AI can understand the meaning behind each feature gate, experiment, event, and metric from the code references that power these entities. As a result:
Anyone viewing a gate or experiment can quickly understand what it does and why it exists
In Metrics Explorer, users can see the semantic meaning of events and metrics, not just raw names
This dramatically improves self-serve understanding for PMs, engineers, and new team members.
If you empty description, Statsig will automatically pre-fill description fields with AI-generated context.
If you already have a description, Statsig will show an AI suggestion that can be more richer in context.