# Kartikey-97/deterministic-resume-intelligence SLOC report

> Kartikey-97/deterministic-resume-intelligence: 7,089 code lines at commit 222b8d0ebe81, counted with tokei-14.0.0 on 2026-10-02. Saved result ea93e52f0dc327d4de4ef0c001d722260911f878b1bc7e4a03d547a3e26b8bcc.

Kartikey-97/deterministic-resume-intelligence has 7,089 source lines of code out of 14,477 total lines across 37 files, counted from the main ref at commit 222b8d0ebe81 by the OctoCounts tokei engine on 2026-10-02. The report is cached by commit, tokei version, and analysis options, reproduction requires the same commit, engine version, and effective counting rules. Unknown rules in older reports prevent exact reproduction.

OctoCounts produced this report by resolving Kartikey-97/deterministic-resume-intelligence to commit 222b8d0ebe81, downloading the repository source archive, and counting files selected by the effective rules with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, exact reproduction requires the same commit, engine version, and effective counting rules. Older reports with unknown rules cannot promise exact reproduction.

## Counting rules and retention

Kartikey-97/deterministic-resume-intelligence: counting rules unknown; engine tokei-14.0.0.

Saved reports remain subject to cache cleanup and replacement. Export the JSON or text for durable citation; live repository URLs can change.

## Repository size insights

This is a small codebase by counted code lines. Code represents 49.0% of all lines, comments represent 38.8%, and the repository averages 192 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 34 | 8,371 | 7,089 | 279 | 1,003 |
| Plain Text | 3 | 6,106 | 0 | 5,337 | 769 |

Top language (Python 100.0%). Generated at 2026-10-02T12:16:10.928009067Z. Canonical report: https://octocounts.com/github/Kartikey-97/deterministic-resume-intelligence/commit/222b8d0ebe81fecd9b5059150a80831610b661f1?reportId=ea93e52f0dc327d4de4ef0c001d722260911f878b1bc7e4a03d547a3e26b8bcc&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Kartikey-97/deterministic-resume-intelligence/commit/222b8d0ebe81fecd9b5059150a80831610b661f1?reportId=ea93e52f0dc327d4de4ef0c001d722260911f878b1bc7e4a03d547a3e26b8bcc&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does Kartikey-97/deterministic-resume-intelligence have?

Kartikey-97/deterministic-resume-intelligence has 14,477 total lines, including 7,089 code lines, 5,616 comment lines, and 1,772 blank lines.

### How was the Kartikey-97/deterministic-resume-intelligence line count measured?

OctoCounts resolved the public GitHub repository to commit 222b8d0ebe81, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Kartikey-97/deterministic-resume-intelligence?

This OctoCounts report was generated from main at commit 222b8d0ebe81 on 2026-10-02T12:16:10.928009067Z.

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
