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Deebo

Createdsnagasuri

Automates debugging for AI coding agents by running parallel investigations and validating fixes.

About

Deebo is an autonomous debugging system designed to work alongside AI coding agents, leveraging the Model Context Protocol (MCP). It spawns multiple "scenario agents" to test different hypotheses in parallel, running each experiment in an isolated Git branch. Deebo validates or falsifies each approach, returning structured reports and solutions. This allows developers to focus on building features while Deebo handles the debugging investigation, effectively introducing multi-threadedness to the development workflow.

Key Features

  • Autonomous debugging system
  • Parallel investigation of hypotheses
  • Integration with AI coding agents (Claude, Cline, Cursor)
  • Uses Model Context Protocol (MCP)
  • Generates structured reports and solutions
  • 192 GitHub stars

Use Cases

  • Debugging production codebases
  • Automating bug fixes proposed by AI coding agents
  • Validating fixes through isolated Git branches
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