# fengshi123/blog

汇总发布的前端博文，大家一起交流学习，如果有帮助到您，欢迎 star ~

Repository: https://github.com/fengshi123/blog
Canonical: https://ross.abutalabs.com/products/fengshi123-blog
License Family: other
Last push: 2021-12-26T16:04:10+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": 2613, "days_push": 1711, "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 1318, forks 173 (observed 2026-08-28T04:04:21.175289+00:00)

## What it is
A curated collection of Chinese-language frontend engineering blog posts hosted as GitHub issues, covering Vue, React, Webpack, Node.js, mobile development, and frontend architecture topics. It serves as a personal knowledge base and learning resource rather than a software artifact.

## Use cases
- learn vue internals like virtual dom and two-way binding
- prepare for frontend interview questions
- understand webpack optimization and internals
- study micro-frontend architecture approaches
- learn react hooks patterns
- read about node.js async io and clustering
- find mobile adaptation techniques

## When to choose
- you want in-depth Chinese-language articles on Vue, React, and Webpack
- you are preparing for frontend interviews
- you want a structured reading path through frontend topics

## When to avoid
- you need runnable code or a library to install
- you require English-language content
- you need actively updated material after 2021

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: frontend, web-development, tutorials, awesome-lists
- platform: -
- tags: blog, frontend-articles, vue, react, webpack, chinese-language, interview-preparation, web-server, nodejs

## Member repositories
- fengshi123/blog (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:21.175289+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 2026-08-30T04:47:57.819831+00:00, confidence not recorded.
  - readme: https://github.com/fengshi123/blog (fetched 2026-08-28T04:04:21.175289+00:00, sha 043887902b22)
- Data as of 2026-08-30T08:39:29.467469+00:00.