# JuanCrg90/Clean-Code-Notes

My notes of Clean Code book

Repository: https://github.com/JuanCrg90/Clean-Code-Notes
Canonical: https://ross.abutalabs.com/products/clean-code-notes
License Family: other
Topics: clean-code, notes, book
Last push: 2023-11-26T13:16:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3576, "days_push": 1011, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6119, forks 834 (observed 2026-08-28T04:09:36.130079+00:00)

## What it is
A set of study notes summarizing Robert C. Martin's book 'Clean Code', organized chapter by chapter. It serves as a free reference for software craftsmanship principles like meaningful names, functions, error handling, and refactoring.

## Use cases
- summarize the clean code book
- learn clean code principles quickly
- review best practices for writing readable code
- study notes for software craftsmanship
- quick reference for clean code chapters
- prepare for code review discussions

## When to choose
- you want a free, concise summary of the Clean Code book
- you need a quick refresher on clean coding principles
- you're deciding whether to read the full book

## When to avoid
- you need the full depth and examples of the original book
- you want interactive tutorials or exercises
- you need language-specific style guides

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: developer-tools, tutorials, programming-languages
- platform: cross-platform
- tags: clean-code, book-notes, software-craftsmanship, best-practices, robert-martin

## Member repositories
- JuanCrg90/Clean-Code-Notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:36.130079+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:48:00.454712+00:00, confidence not recorded.
  - readme: https://github.com/JuanCrg90/Clean-Code-Notes (fetched 2026-08-28T04:09:36.130079+00:00, sha 11983410e457)
- Data as of 2026-08-30T08:39:29.467469+00:00.