obra/smallest-agent SLOC report

As of 2026-08-27 (commit d42ba035040c), obra/smallest-agent contains 924 total lines: 542 code, 284 comments, 98 blank, across 7 files in 4 languages (top: JSON 86.3%). Counted with tokei via OctoCounts.

As of 2026-08-27 (commit d42ba035040c), obra/smallest-agent contains 924 total lines: 542 code, 284 comments, 98 blank, across 7 files in 4 languages (top: JSON 86.3%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving obra/smallest-agent to commit d42ba035040c, 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 small codebase by counted code lines. Code represents 58.7% of all lines, comments represent 30.7%, and the repository averages 77 code lines per file. JSON accounts for 86.3% of counted code.

LanguageFilesLinesCodeCommentsBlanks
JSON246846800
Shell16550114
JavaScript2372485
Markdown2354027579

Top language (JSON 86.3%). Generated at 2026-08-27T11:27:05.913525298+00:00.

Report FAQ

How many lines of code does obra/smallest-agent have?

obra/smallest-agent has 924 total lines, including 542 code lines, 284 comment lines, and 98 blank lines.

How was the obra/smallest-agent line count measured?

OctoCounts resolved the public GitHub repository to commit d42ba035040c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for obra/smallest-agent?

This OctoCounts report was generated from main at commit d42ba035040c on 2026-08-27T11:27:05.913525298+00:00.

Similar repository reports

Other public repositories with an OctoCounts report, ranked by top language and code size similarity: