# DeveloperErenLiu/RuntimePDF

Runtime系列文章总字数为10w+，写技术文章不容易，希望各位能帮忙点个Star，谢谢！

Repository: https://github.com/DeveloperErenLiu/RuntimePDF
Canonical: https://ross.abutalabs.com/products/runtimepdf
License Family: other
Last push: 2019-10-12T02:05:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3028, "days_push": 2518, "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 1408, forks 163 (observed 2026-08-28T04:04:38.508956+00:00)

## What it is
A compiled PDF collection of a nine-part Chinese-language blog series explaining the iOS Objective-C Runtime, totaling over 100,000 words. It covers Runtime internals such as message sending, method forwarding, categories, and method swizzling.

## Use cases
- learn how the iOS Objective-C Runtime works
- prepare for iOS engineer interview questions about Runtime
- understand method swizzling and message forwarding
- study Runtime source code and structure
- find a comprehensive single-document Runtime tutorial

## When to choose
- you want a thorough, free, single-PDF deep dive into iOS Runtime
- you read Chinese and prefer blog-style explanations
- you are preparing for iOS interviews covering Runtime topics

## When to avoid
- you need up-to-date documentation for recent iOS/Swift Runtime changes (last updated 2019)
- you need runnable code or a library rather than reading material
- you only read English

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, mobile-development, programming-languages
- platform: -
- tags: ios, objective-c, runtime, tutorial-series, pdf, interview-preparation, method-swizzling, chinese-language, mobile

## Member repositories
- DeveloperErenLiu/RuntimePDF (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.508956+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 2026-08-30T04:38:34.182696+00:00, confidence not recorded.
  - readme: https://github.com/DeveloperErenLiu/RuntimePDF (fetched 2026-08-28T04:04:38.508956+00:00, sha 9635134fd8ba)
- Data as of 2026-08-30T08:39:29.467469+00:00.