Deebo is an AI-powered debugging copilot designed to accelerate the resolution of issues encountered by AI coding agents. It aims to enhance productivity by introducing a multi-threaded approach to AI-assisted development workflows, targeting teams that utilize AI agents for production code generation.

How It Works

Deebo functions as an autonomous debugging agent, acting as a copilot to a primary AI coding agent. It introduces parallel processing capabilities to the development workflow, enabling faster identification and resolution of coding problems. The system is configured via a JSON file, specifying server commands, arguments, and environment variables, including model choices and API keys for LLM interactions.

Quick Start & Requirements

• Install: npx deebo-setup@latest
• Prerequisites: Node.js, OpenAI-compatible SDKs (Anthropic, Gemini, OpenRouter), OpenRouter API Key.
• Configuration: Manual setup requires creating a JSON configuration file with server details and environment variables.
• Docs: [Not explicitly linked, but configuration details are provided.]

Highlighted Details

• Aims to speed up time-to-resolution by 10x.
• Supports multiple LLM providers including Anthropic, Gemini, and OpenRouter.
• Configurable via environment variables for model selection and API keys.

Maintenance & Community

• Contact via X (@sriramenn) or by opening an issue.
• Actively seeking partnerships with teams using AI agents for production code.

Licensing & Compatibility

• License: Apache License 2.0.
• Compatibility: Compatible with commercial use and closed-source linking under the Apache 2.0 license.

Limitations & Caveats

The project is presented as a "prototype," suggesting potential for ongoing development and potential instability. Specific hardware requirements beyond Node.js are not detailed, and the "multi-threadedness" is conceptual rather than a direct technical implementation detail provided in the README.