reverse-engineering:analysis

To generate an AI prompt from a codebase feature, the tool analyzes the specified feature path to extract core logic and dependencies, producing an analysis.md file containing a copy-pasteable AI implementation prompt for immediate use.

Reverse engineering a feature into an AI implementation prompt involves examining existing codebase logic and data flows to create a detailed prompt that encodes implementation requirements for reproducing that feature in a new project.

Yes, the feature analysis applies to any programming language or framework, accepting a feature name or file path to map out key libraries and generate an implementation prompt.

You document codebase logic for reuse by running an analysis on the target feature, which outputs an analysis.md file containing an overview, file map, and a ready-to-use prompt designed for new repositories.

The analysis output includes an analysis.md file containing an Overview, Key Libraries, How It Works, File Map, and the AI Implementation Prompt to ensure comprehensive feature reproduction.