# nixzhu/dev-blog

翻译、开发心得或学习笔记

Repository: https://github.com/nixzhu/dev-blog
Canonical: https://ross.abutalabs.com/products/dev-blog
Homepage: https://apps.apple.com/cn/app/ducky-model-editor/id1525505933
License Family: other
Topics: swift, gcd, algorithms, ios, parser, parser-combinators, state-machine
Last push: 2024-05-08T10:07:06+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": 4522, "days_push": 847, "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 3904, forks 697 (observed 2026-08-28T04:08:28.666143+00:00)

## What it is
A Chinese-language developer blog repository by nixzhu containing translated articles and original development notes, primarily on iOS and Swift topics. It covers subjects like GCD, Auto Layout, MVVM, state machines, and parser combinators.

## Use cases
- learn iOS development concepts in Chinese
- understand Grand Central Dispatch in depth
- study Swift parser combinators
- read translated iOS tutorials
- learn about state machines in app development
- find notes on Auto Layout and MVVM

## When to choose
- you read Chinese and want iOS/Swift learning material
- you want curated translations of classic iOS articles
- you are studying Swift topics like GCD or parser combinators

## When to avoid
- you need up-to-date tutorials for current iOS versions
- you only read English
- you need runnable code or a maintained library rather than articles

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, mobile-development, programming-languages
- platform: -
- tags: blog, chinese-language, swift, ios-development, translations, parser-combinators, state-machine, gcd, ios-tools, ios

## Member repositories
- nixzhu/dev-blog (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:28.666143+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 2026-08-29T18:25:08.590300+00:00, confidence not recorded.
  - readme: https://github.com/nixzhu/dev-blog (fetched 2026-08-28T04:08:28.666143+00:00, sha 0607d2075c2f)
- Data as of 2026-08-30T08:39:29.467469+00:00.