Whawit - DevOps AI Assistant

AI-powered DevOps assistant for VS Code, Cursor, Windsurf, and Kiro. Ask questions about your logs, metrics, and system health directly in your IDE.

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.

Getting Started

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

Configuration

Setting	Description	Default
`whawit.apiUrl`	Whawit API URL	`https://api.whawit.ai`
`whawit.autoDetectProject`	Auto-detect project from Git remote	`true`
`whawit.showStatusBar`	Show Whawit in status bar	`true`
`whawit.openAnalysisIn`	Where to open analysis results	`embedded`

Commands

Command	Description
`Whawit: Login`	Login to Whawit
`Whawit: Logout`	Logout from Whawit
`Whawit: Open Radar Chat`	Open the Radar chat panel
`Whawit: Select Project`	Select a project to work with
`Whawit: Search Context`	Search project knowledge base
`Whawit: Manage Integrations`	Open integrations panel
`Whawit: Analyze Current Workspace`	Analyze your current workspace

MCP Server

The Whawit MCP server exposes tools for AI assistants like Claude in Cursor. See the MCP Server documentation for setup instructions.

Whawit - Observability AI Assistant

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