# ai-infra-curriculum/ai-infra-engineer-learning SLOC report

> As of 2026-09-16 (commit 35be44648668), ai-infra-curriculum/ai-infra-engineer-learning contains 104,305 total lines: 15,433 code, 64,451 comments, 24,421 blank, across 427 files in 12 languages (top: Python 83.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

ai-infra-curriculum/ai-infra-engineer-learning has 15,433 source lines of code out of 104,305 total lines across 427 files, counted from the 35be44648668a34a4f3bf1c40ee661d2f7753a9c ref at commit 35be44648668 by the OctoCounts tokei engine on 2026-09-16. 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 ai-infra-curriculum/ai-infra-engineer-learning to commit 35be44648668, 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 14.8% of all lines, comments represent 61.8%, and the repository averages 36 code lines per file. Python accounts for 83.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 34 | 17,096 | 12,922 | 2,590 | 1,584 |
| YAML | 22 | 3,190 | 1,505 | 1,410 | 275 |
| JSON | 3 | 402 | 390 | 0 | 12 |
| Makefile | 3 | 458 | 269 | 103 | 86 |
| Dockerfile | 2 | 443 | 121 | 257 | 65 |
| Shell | 3 | 126 | 65 | 30 | 31 |
| TOML | 1 | 58 | 54 | 0 | 4 |
| Jupyter Notebooks | 1 | 176 | 48 | 94 | 34 |
| INI | 1 | 58 | 37 | 12 | 9 |
| SQL | 1 | 173 | 22 | 115 | 36 |
| Markdown | 353 | 81,812 | 0 | 59,595 | 22,217 |
| Plain Text | 3 | 313 | 0 | 245 | 68 |

Top language (Python 83.7%). Generated at 2026-09-16T23:49:37.207947501+00:00. Canonical report: https://octocounts.com/github/ai-infra-curriculum/ai-infra-engineer-learning

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ai-infra-curriculum/ai-infra-engineer-learning/commit/35be44648668a34a4f3bf1c40ee661d2f7753a9c?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).

## Report FAQ

### How many lines of code does ai-infra-curriculum/ai-infra-engineer-learning have?

ai-infra-curriculum/ai-infra-engineer-learning has 104,305 total lines, including 15,433 code lines, 64,451 comment lines, and 24,421 blank lines.

### How was the ai-infra-curriculum/ai-infra-engineer-learning line count measured?

OctoCounts resolved the public GitHub repository to commit 35be44648668, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ai-infra-curriculum/ai-infra-engineer-learning?

This OctoCounts report was generated from 35be44648668a34a4f3bf1c40ee661d2f7753a9c at commit 35be44648668 on 2026-09-16T23:49:37.207947501+00:00.

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