# azl397985856/fe-interview

宇宙最强的前端面试指南 (https://lucifer.ren/fe-interview)

Repository: https://github.com/azl397985856/fe-interview
Canonical: https://ross.abutalabs.com/products/azl397985856-fe-interview
Language: JavaScript
License: Apache-2.0
License Family: permissive
Topics: fe, interview, frontend, javascript, algorithm, qian-duan
Last push: 2023-09-18T17:04:14+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2609, "days_push": 1080, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2841, forks 259 (observed 2026-08-28T04:07:24.752707+00:00)

## What it is
A Chinese-language frontend interview study guide ('图解前端') that explains frontend concepts with diagrams, organized by topic, with daily question exercises. It serves both as job interview prep and a self-review resource for frontend engineers.

## Use cases
- prepare for a frontend developer interview
- review javascript fundamentals before an interview
- learn frontend concepts with visual diagrams
- practice daily frontend coding questions
- assess my own frontend knowledge gaps
- study frontend engineering topics like performance and tooling

## When to choose
- you are preparing for frontend job interviews, especially in the Chinese tech market
- you prefer diagram-based explanations of abstract concepts
- you want a topic-organized self-study checklist for frontend skills

## When to avoid
- you need up-to-date coverage of the newest frameworks, as updates are irregular
- you want structured courses or interactive exercises rather than reading material
- you cannot read Chinese

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: frontend, web-development, tutorials, education
- platform: cross-platform
- tags: interview-preparation, frontend-interview, javascript, algorithms, illustrated-guide, chinese-language, web-server

## Member repositories
- azl397985856/fe-interview (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.752707+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 2026-08-30T07:37:14.860209+00:00, confidence not recorded.
  - readme: https://github.com/azl397985856/fe-interview (fetched 2026-08-28T04:07:24.752707+00:00, sha ccd6e286ab91)
- Data as of 2026-08-30T08:39:29.467469+00:00.