# walkinglabs/learn-harness-engineering SLOC report

> As of 2026-10-21 (commit 95c42edf2563), walkinglabs/learn-harness-engineering contains 126,397 total lines: 102,678 code, 15,848 comments, 7,871 blank, across 736 files in 11 languages (top: SVG 69.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

walkinglabs/learn-harness-engineering has 102,678 source lines of code out of 126,397 total lines across 736 files, counted from the main ref at commit 95c42edf2563 by the OctoCounts tokei engine on 2026-10-21. 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 walkinglabs/learn-harness-engineering to commit 95c42edf2563, 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 large codebase by counted code lines. Code represents 81.2% of all lines, comments represent 12.5%, and the repository averages 140 code lines per file. SVG accounts for 69.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| SVG | 180 | 71,666 | 71,666 | 0 | 0 |
| TypeScript | 164 | 13,870 | 10,578 | 1,191 | 2,101 |
| JSON | 60 | 9,547 | 9,547 | 0 | 0 |
| TSX | 111 | 8,489 | 7,878 | 66 | 545 |
| Shell | 13 | 1,678 | 1,265 | 181 | 232 |
| JavaScript | 21 | 1,178 | 1,025 | 28 | 125 |
| Python | 3 | 586 | 503 | 16 | 67 |
| HTML | 15 | 210 | 210 | 0 | 0 |
| YAML | 1 | 7 | 6 | 0 | 1 |
| Markdown | 147 | 18,371 | 0 | 13,757 | 4,614 |
| Plain Text | 21 | 795 | 0 | 609 | 186 |

Top language (SVG 69.8%). Generated at 2026-10-21T03:18:34.311930107+00:00. Canonical report: https://octocounts.com/github/walkinglabs/learn-harness-engineering

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/walkinglabs/learn-harness-engineering/commit/95c42edf2563db22c400e36125270ba2059cc250?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=46c33a761ede3accb6971ccd701eecda165e5e2b9d5dba4d026d6a52d9192566).

## Report FAQ

### How many lines of code does walkinglabs/learn-harness-engineering have?

walkinglabs/learn-harness-engineering has 126,397 total lines, including 102,678 code lines, 15,848 comment lines, and 7,871 blank lines.

### How was the walkinglabs/learn-harness-engineering line count measured?

OctoCounts resolved the public GitHub repository to commit 95c42edf2563, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for walkinglabs/learn-harness-engineering?

This OctoCounts report was generated from main at commit 95c42edf2563 on 2026-10-21T03:18:34.311930107+00:00.

## Similar repository reports

- [cs341-illinois/coursebook](https://octocounts.com/github/cs341-illinois/coursebook) — SVG, 95,975 code lines
- [mviewer/mviewer](https://octocounts.com/github/mviewer/mviewer) — SVG, 141,991 code lines
- [yifanzhang-pro/recurrent-looped-tranformer](https://octocounts.com/github/yifanzhang-pro/recurrent-looped-tranformer) — SVG, 70,341 code lines
- [athemeroy/awesome-claude-5-5-videos](https://octocounts.com/github/athemeroy/awesome-claude-5-5-videos) — SVG, 55,849 code lines
- [dotnet/eShop](https://octocounts.com/github/dotnet/eShop) — SVG, 55,283 code lines
- [criterion-rs/criterion.rs](https://octocounts.com/github/criterion-rs/criterion.rs) — SVG, 51,717 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)
- [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)
