This project provides a lightweight, cross-platform tool to detect if your coding environment is being influenced or controlled by an AI agent or an AI-powered editor. It's designed for developers and researchers who need to understand the nature of their development setup, particularly when working with emerging AI coding assistants.

How It Works

The tool operates by inspecting various environmental variables, process names, and common file paths associated with known AI coding agents and editors. It leverages a curated list of indicators to identify potential AI influence, offering a simple boolean output to signal detection. This approach is advantageous due to its low overhead and broad compatibility across different operating systems and development workflows.

Quick Start & Requirements

• Install via pip: pip install am-i-vibing
• No non-default prerequisites are mentioned.

Highlighted Details

• Detects environments influenced by AI coding assistants.
• Cross-platform compatibility.
• Lightweight and low overhead.

Maintenance & Community

No specific contributors, sponsorships, or community links are detailed in the provided README.

Licensing & Compatibility

The project is licensed under the MIT License, which permits commercial use and linking with closed-source projects.

Limitations & Caveats

The detection mechanism relies on a list of known indicators, meaning it may not detect novel or unlisted AI agents or editors. Its effectiveness is dependent on the comprehensiveness of its internal detection signatures.