azl397985856/fe-interview resource
宇宙最强的前端面试指南 (https://lucifer.ren/fe-interview) observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2609
- days_rel: n/a
- days_push: 1080
- n_releases_24m: 0
Adoption not part of the score
2841 stars · 259 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
learning-resource · maturity maintenance
documentation developer-tools frontend web-development tutorials education cross-platform interview-preparation frontend-interview javascript algorithms illustrated-guide chinese-language web-server
1 source
- readme: https://github.com/azl397985856/fe-interview · fetched 2026-08-28 · ccd6e286ab91
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| azl397985856/fe-interview | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="azl397985856/fe-interview")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem