Whawit - Observability & Governance

Whawit is a governance and observability tool for VS Code, Cursor, Windsurf, and Kiro designed to reduce troubleshooting time and MTTR (Mean Time To Recovery). Ask questions about your logs, metrics, and system health directly in your IDE.

View Interactive Demo

More Use Cases

Explore other ways Whawit can help you:

• Investigate Device Issues (IoT): See how Whawit analyzes logs from edge devices to find root causes in seconds.
• Real Case: GCP & Kubernetes: Watch Whawit analyze a complex incident in a cloud-native environment.
• Start Your First Analysis: Learn how to track investigation progress and review results.

Runtime Troubleshooting & Fixing

Whawit makes it effortless to investigate and resolve runtime incidents. By connecting to your observability stack (Datadog, CloudWatch, etc.), Whawit brings real-time logs and metrics directly into your IDE.

Simply ask questions like "Why is the API latency high?" or "Show me recent errors in the payment service". Whawit analyzes the data and correlates it with your code to suggest fixes.

Features

Radar Chat

Ask natural language questions about your infrastructure and get instant answers powered by AI. Query logs from Datadog, CloudWatch, and other observability platforms without leaving your editor.

Context Search

Search your project's knowledge base for architecture documentation, runbooks, and system context. Get relevant information exactly when you need it.

Auto-detect Projects

Whawit automatically matches your workspace to your projects based on Git remotes. No manual configuration required.

Integration Management

View and manage your connected observability providers including Datadog, AWS CloudWatch, and more.

MCP Server

Whawit provides an MCP (Model Context Protocol) server that empowers AI assistants like Claude (in Cursor) or Windsurf to directly access your runtime data.

This allows the AI to not just read your code, but understand how it behaves in production, enabling it to propose fixes based on actual error logs and performance metrics.

See the MCP Server documentation for setup instructions.

Getting Started

1. Install the extension from the VS Code Marketplace
2. Login by clicking the Whawit icon in the activity bar, then click "Login to Whawit"
3. Select Project - Your workspace will be auto-detected, or select a project manually
4. Start Chatting - Open Radar Chat to ask questions about your system

Configuration

Commands

Requirements

• VS Code 1.85.0 or later
• A Whawit account (sign up at whawit.ai)

Support

• Documentation
• GitHub Issues
• Contact Support

License

MIT

Whawit is an intelligent observability platform that transforms system chaos into actionable insights, enhancing your existing monitoring tools with smart automation and faster incident response.

Whawit is a trademark of US3 GROUP LLC.

US3 GROUP LLC

Miami
255 Giralda Ave Floor 5
Coral Gables, FL 33134

Buenos Aires
Ing. Enrique Butty 275
C1001AFA CABA, Argentina

Bellevue
800 Bellevue Way NE
Bellevue, WA 98004, USA