# Agentic-Studio-Pvt-Ltd/agentic-codebase SLOC report

> As of 2026-10-14 (commit f067072cbb35), Agentic-Studio-Pvt-Ltd/agentic-codebase contains 44,489 total lines: 27,397 code, 12,479 comments, 4,613 blank, across 38 files in 3 languages (top: Python 91.6%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Agentic-Studio-Pvt-Ltd/agentic-codebase has 27,397 source lines of code out of 44,489 total lines across 38 files, counted from the main ref at commit f067072cbb35 by the OctoCounts tokei engine on 2026-10-14. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving Agentic-Studio-Pvt-Ltd/agentic-codebase to commit f067072cbb35, downloading the repository source archive, and counting every source file 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, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 61.6% of all lines, comments represent 28.0%, and the repository averages 721 code lines per file. Python accounts for 91.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 8 | 30,963 | 25,092 | 3,378 | 2,493 |
| Templ | 15 | 2,402 | 2,305 | 0 | 97 |
| Markdown | 15 | 11,124 | 0 | 9,101 | 2,023 |

Top language (Python 91.6%). Generated at 2026-10-14T12:59:21.735225746+00:00. Canonical report: https://octocounts.com/github/Agentic-Studio-Pvt-Ltd/agentic-codebase

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Agentic-Studio-Pvt-Ltd/agentic-codebase/commit/f067072cbb35bac4e520e9d8358a28d74d35deb3?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D&reportId=f22f95aee96d9f1af3d124fd88876de247a4c9b2e8b2979bc61559eb2b02cacb).

## Report FAQ

### How many lines of code does Agentic-Studio-Pvt-Ltd/agentic-codebase have?

Agentic-Studio-Pvt-Ltd/agentic-codebase has 44,489 total lines, including 27,397 code lines, 12,479 comment lines, and 4,613 blank lines.

### How was the Agentic-Studio-Pvt-Ltd/agentic-codebase line count measured?

OctoCounts resolved the public GitHub repository to commit f067072cbb35, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Agentic-Studio-Pvt-Ltd/agentic-codebase?

This OctoCounts report was generated from main at commit f067072cbb35 on 2026-10-14T12:59:21.735225746+00:00.

## Similar repository reports

- [XiaoMi/ha_xiaomi_home](https://octocounts.com/github/XiaoMi/ha_xiaomi_home) — Python, 27,433 code lines
- [DyausG/operon](https://octocounts.com/github/DyausG/operon) — Python, 27,444 code lines
- [ygyang11/Arktor](https://octocounts.com/github/ygyang11/Arktor) — Python, 27,280 code lines
- [AgricIDaniel/claude-seo](https://octocounts.com/github/AgricIDaniel/claude-seo) — Python, 26,980 code lines
- [lij768423-svg/grok-register-panel](https://octocounts.com/github/lij768423-svg/grok-register-panel) — Python, 26,950 code lines
- [dortania/OpenCore-Legacy-Patcher](https://octocounts.com/github/dortania/OpenCore-Legacy-Patcher) — Python, 26,934 code lines

## 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)
