# i-want-offer/FE-Essay

记录前端重要知识点和遇到的好文章，同时还有前端重要算法知识，但最关键的是包含各大小厂真题。

Repository: https://github.com/i-want-offer/FE-Essay
Canonical: https://ross.abutalabs.com/products/fe-essay
Homepage: https://i-want-offer.github.io/FE-Essay/
License: MIT
License Family: permissive
Last push: 2022-10-24T08:50:41+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": 2233, "days_push": 1409, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1042, forks 252 (observed 2026-08-28T04:03:20.744114+00:00)

## What it is
A curated collection of frontend interview preparation notes covering CSS, JavaScript, TypeScript, frameworks, browser rendering, performance optimization, algorithms, and real interview questions from major tech companies. It is published as a static documentation site with MIT-licensed content.

## Use cases
- prepare for a frontend developer interview
- review frontend interview questions from big tech companies
- study common CSS and JavaScript interview topics
- practice frontend algorithm questions
- find curated articles on frontend fundamentals
- review browser rendering and performance optimization concepts

## When to choose
- you are preparing for frontend job interviews and want real company questions
- you want a structured review of core frontend knowledge points
- you prefer community-curated study notes over formal courses

## When to avoid
- you need up-to-date documentation on the latest framework versions
- you want interactive exercises or hands-on coding practice
- you need authoritative reference material rather than personal notes

## 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, study-notes, algorithms, css, javascript, typescript, chinese-language, web-server

## Member repositories
- i-want-offer/FE-Essay (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.744114+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 2026-08-30T07:02:40.054852+00:00, confidence not recorded.
  - homepage: https://i-want-offer.github.io/FE-Essay/ (fetched 2026-08-29T13:04:04.023097+00:00, sha 08df979c984d)
- Data as of 2026-08-30T08:39:29.467469+00:00.