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What is Ladybugs?

Ladybugs is a production debugging system that captures complete runtime context from your applications. Instead of relying on limited logs or trying to reproduce bugs locally, Ladybugs gives you full visibility into what actually happened in production—down to function calls, loops, data changes, and variable values.

The Problem We Solve

Traditional debugging is time-consuming and frustrating:
  • You receive a bug report but can’t reproduce it locally
  • Logs provide incomplete information about what went wrong
  • You waste hours adding more logging and redeploying
  • AI coding assistants need extensive context to help debug issues

How Ladybugs Helps

Ladybugs eliminates the debugging loop by providing AI agents with complete production context:

Zero-effort debugging

Simply tell your AI: “I tried to create a post with the title ‘Banana’ and it failed”—no need to debug manually or provide additional context.
Your AI agent can then:
  • Search for all relevant functions and data related to that specific request
  • View real runtime data: function parameters, return values, variable states
  • Trace low-level execution: conditions evaluated, loops executed, data accessed
  • Perform instant root cause analysis and suggest fixes

How It Works

1

Instrument your code

Ladybugs uses a Babel plugin to automatically add traces to your JavaScript/TypeScript code during the build process.
2

Collect runtime data

When your code runs in production, all execution data is captured and sent to your self-hosted Docker container.
3

Query with AI

Access all production data through our MCP (Model Context Protocol) integration, allowing AI agents to instantly understand and fix bugs.

Supported Platforms

Currently, Ladybugs supports the JavaScript ecosystem:
  • Node.js - Backend applications
  • React - Frontend applications
  • TypeScript - Full TypeScript support
  • Other JavaScript frameworks and libraries

Get Started