# WeareSoft/tech-interview

:loudspeaker:🙍 tech interview

Repository: https://github.com/WeareSoft/tech-interview
Canonical: https://ross.abutalabs.com/products/tech-interview
License Family: other
Last push: 2022-11-17T12:20:42+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": 2913, "days_push": 1385, "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 4886, forks 769 (observed 2026-08-28T04:09:01.909647+00:00)

## What it is
A curated study repository of fundamental computer science and software engineering concepts for preparing for technical interviews. It covers data structures, networking, operating systems, databases, design patterns, algorithms, and language/framework topics with Q&A style explanations.

## Use cases
- prepare for a software engineering technical interview
- review core CS concepts like TCP handshake and deadlocks
- study common database and OS interview questions
- brush up on design patterns before an interview
- find concise answers to Java and Spring interview questions

## When to choose
- you want a free, community-maintained question-and-answer study guide for tech interviews
- you need a quick refresher on CS fundamentals across many topics
- you prefer reading organized markdown notes over video courses

## When to avoid
- you need interactive coding practice or mock interview platforms
- you want up-to-date, deeply verified content (last release 2022, no license)
- you need non-Korean-language material, as most content is in Korean

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, developer-tools, education
- platform: cross-platform
- tags: tech-interview, study-guide, computer-science, interview-preparation, korean

## Member repositories
- WeareSoft/tech-interview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.909647+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 2026-08-29T18:18:13.795767+00:00, confidence not recorded.
  - readme: https://github.com/WeareSoft/tech-interview (fetched 2026-08-28T04:09:01.909647+00:00, sha cad3499bc24b)
- Data as of 2026-08-30T08:39:29.467469+00:00.