StreamSense – Real-time anomaly detection for developers inside VS Code

Summary: StreamSense detects anomalies in data streams instantly within VS Code, using AI to diagnose issues and suggest actions without requiring a data scientist. It applies statistical methods like Z-Score and CUSUM to business metrics such as transactions, error rates, latency, and revenue.

What it does

StreamSense monitors production data in real time and flags anomalies with AI-generated explanations. It integrates directly into VS Code, enabling developers to detect and address issues without switching contexts.

Who it's for

It is designed for developers who need immediate anomaly detection and diagnosis on their production metrics during development.

Why it matters

It reduces the time spent identifying production incidents by providing instant alerts and actionable insights within the developer environment.