# HyeminNoh/Tech-Stack

📚 신입 개발자로서 성장을 위한 전공 지식을 정리합니다 😊

Repository: https://github.com/HyeminNoh/Tech-Stack
Canonical: https://ross.abutalabs.com/products/tech-stack
Homepage: https://hyeminnoh.github.io/Tech-Stack/
License Family: other
Last push: 2022-12-12T07:30:59+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": 2431, "days_push": 1360, "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 1215, forks 117 (observed 2026-08-28T04:04:01.156171+00:00)

## What it is
A Korean-language study notes repository organizing computer science fundamentals for junior developers, covering Java, JavaScript, data structures, algorithms, databases, and networking. It is published as a static documentation site on GitHub Pages.

## Use cases
- prepare for developer job interview questions
- review data structures and algorithms basics
- learn Java fundamentals like JVM and garbage collection
- study networking concepts like TCP and OSI layers
- brush up on CS fundamentals as a junior developer

## When to choose
- you want concise Korean-language notes on CS fundamentals
- you are preparing for entry-level developer interviews
- you need a quick reference for Java, algorithms, or networking topics

## When to avoid
- you need in-depth tutorials or hands-on exercises
- you require English-language learning material
- you need up-to-date content on modern frameworks

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: tutorials, education, developer-tools
- platform: -
- tags: cs-fundamentals, interview-prep, korean-language, study-notes, data-structures, tech-interview, algorithms, web-server

## Member repositories
- HyeminNoh/Tech-Stack (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.156171+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 2026-08-30T06:17:13.659862+00:00, confidence not recorded.
  - readme: https://github.com/HyeminNoh/Tech-Stack (fetched 2026-08-28T04:04:01.156171+00:00, sha 0174587fb07e)
  - homepage: https://hyeminnoh.github.io/Tech-Stack/ (fetched 2026-08-29T12:25:26.348668+00:00, sha ea63ae138c07)
- Data as of 2026-08-30T08:39:29.467469+00:00.