jamwithai/production-agentic-rag-course
jamwithai/production-agentic-rag-course has 9,976 source lines of code out of 16,239 total lines across 121 files, counted from the main ref at commit 424a0eb99edf by the OctoCounts tokei engine on 2026-10-04. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
As of 2026-10-04 (commit 424a0eb99edf), jamwithai/production-agentic-rag-course contains 16,239 total lines: 9,976 code, 3,374 comments, 2,889 blank, across 121 files in 9 languages (top: Python 68.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving jamwithai/production-agentic-rag-course to commit 424a0eb99edf, 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 61.4% of all lines, comments represent 20.8%, and the repository averages 82 code lines per file. Python accounts for 68.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 97 | 8682 | 6838 | 421 | 1423 |
| Jupyter Notebooks | 7 | 4690 | 2606 | 1249 | 835 |
| YAML | 1 | 385 | 361 | 9 | 15 |
| TOML | 1 | 72 | 66 | 0 | 6 |
| Dockerfile | 2 | 92 | 51 | 19 | 22 |
| Makefile | 1 | 52 | 34 | 5 | 13 |
| Shell | 1 | 31 | 20 | 6 | 5 |
| Markdown | 9 | 2200 | 0 | 1636 | 564 |
| Plain Text | 2 | 35 | 0 | 29 | 6 |
Top language (Python 68.5%). Generated at .
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Report FAQ
How many lines of code does jamwithai/production-agentic-rag-course have?
jamwithai/production-agentic-rag-course has 16,239 total lines, including 9,976 code lines, 3,374 comment lines, and 2,889 blank lines.
How was the jamwithai/production-agentic-rag-course line count measured?
OctoCounts resolved the public GitHub repository to commit 424a0eb99edf, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for jamwithai/production-agentic-rag-course?
This OctoCounts report was generated from main at commit 424a0eb99edf on 2026-10-04T08:25:39.454856121+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
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- Ishannaik/agent-sweep — Python, 10,120 code lines
- pallets/flask — Python, 10,166 code lines
Play the growth animation for jamwithai/production-agentic-rag-course on this page — 9,976 code lines across 9 languages, counted by tokei.