codebase-explorer

Mapping an unfamiliar codebase involves scanning entry-point files like README.md, package.json, and pyproject.toml to infer the tech stack, then extracting folder layouts and architectural patterns to produce a reproducible codebase map.

Codebase exploration is the process of reading and understanding a repository's structure, dependencies, and conventions to align new work with existing code. You need it when coding in unfamiliar repositories across languages and frameworks.

Yes, codebase exploration applies to unfamiliar repositories across languages, frameworks, and architectures. It reads key project files to reveal conventions, folder layouts, and dependencies regardless of the specific tech stack.

The best way to identify architectural patterns is through pattern extraction, which analyzes the codebase structure and conventions to generate a reusable template that aligns downstream work with existing code.

Generate a reproducible codebase map by running entry-point scanning steps to read project files, followed by structural mapping to document top-level folders, modules, dependencies, and conventions in a consistent format.

No dependencies are required. The codebase analysis reads existing project files like README.md and configuration files directly to infer the tech stack and produce a structural map without installing additional packages.