codebase-inspection

To analyze lines of code and language breakdown, provide a target repository path to generate a structured summary including language counts, code and comment lines, and file tallies. This works for repositories of any size and language mix.

Counting lines of code for auditing project health involves generating LOC and file-count summaries to estimate project size and complexity. This approach also provides a language breakdown by repository contents and per-folder stats to understand code distribution.

Yes, you need pygount installed to get code metrics and file counts. The analysis requires pygount and a target path to produce the lines of code, language breakdown, and file tallies for your codebase.

Yes, you can use codebase inspection for comparing multiple repositories. It generates per-folder stats and language contribution breakdowns, which are explicitly designed for assessing onboarding needs and comparing different codebases.

A language breakdown tool works with mixed codebases by analyzing the target path to produce language counts, code and comment lines, and file tallies. It applies to repositories of any size and language to show code distribution.