As of 2026-08-21 (commit 2df5c58c1181), i5ting/learn-ai-practice contains 339 total lines: 0 code, 238 comments, 101 blank, across 2 files in 1 languages (top: Markdown 0.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving i5ting/learn-ai-practice to commit 2df5c58c1181, 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.
This is a small codebase by counted code lines. Code represents 0.0% of all lines, comments represent 70.2%, and the repository averages 0 code lines per file. Markdown accounts for 0.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Markdown | 2 | 339 | 0 | 238 | 101 |
Top language (Markdown 0.0%). Generated at 2026-08-21T18:10:31.736557954+00:00.
i5ting/learn-ai-practice has 339 total lines, including 0 code lines, 238 comment lines, and 101 blank lines.
OctoCounts resolved the public GitHub repository to commit 2df5c58c1181, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit 2df5c58c1181 on 2026-08-21T18:10:31.736557954+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: