tooyoung:codebase-stats

You can count lines of code in a monorepo without external tools by using built-in Bash scripting and Glob file discovery to identify modules and calculate LOC across JavaScript, TypeScript, Rust, Java, Go, and Python files.

Codebase structure analysis works with multi-module projects by detecting and analyzing different modules across complex monorepos and monoliths, identifying file types and calculating lines of code for various supported languages.

The best way to analyze codebase size across different languages is to run an automated LOC counter that identifies file types and modules, providing a breakdown of lines of code for JavaScript, TypeScript, Rust, Java, Go, and Python.

To identify the largest modules in a complex project structure, run codebase-stats to detect modules within monorepos and calculate the distribution of lines of code across different file types and languages.

Yes, you can analyze Rust and Go codebase composition using Bash scripting and Glob to discover files and count lines of code without relying on external LOC counters, identifying modules and file types automatically.

You need to analyze codebase size and structure when you want to quickly assess project scale, identify the largest modules, and understand the distribution of code across different languages within monorepos or multi-module projects.