# mission-peace/interview

Interview questions

Repository: https://github.com/mission-peace/interview
Canonical: https://ross.abutalabs.com/products/mission-peace-interview
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2024-07-31T18:47:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4427, "days_push": 763, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11358, forks 5144 (observed 2026-08-28T04:10:46.839886+00:00)

## What it is
A Java repository of solutions to common coding interview questions on data structures and algorithms, companion to Tushar Roy's YouTube explanations. It is organized as a Gradle project with runnable programs and JUnit tests for each solution.

## Use cases
- prepare for coding interviews
- study algorithm implementations in Java
- learn dynamic programming with worked examples
- practice data structure problems with tests
- find reference implementations of classic algorithms

## When to choose
- you are preparing for technical interviews and want Java solutions
- you want code that pairs with well-known video explanations
- you prefer runnable, tested implementations over pseudocode

## When to avoid
- you need a production-ready algorithm library
- you work in a language other than Java
- you want a structured course rather than a question collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, testing
- domain: education, tutorials
- platform: jvm, cross-platform
- tags: interview-preparation, data-structures, algorithms, java, coding-interview, youtube-companion

## Member repositories
- mission-peace/interview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.839886+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 2026-08-29T17:15:42.117866+00:00, confidence not recorded.
  - readme: https://github.com/mission-peace/interview (fetched 2026-08-28T04:10:46.839886+00:00, sha 2c3eab9e6b91)
- Data as of 2026-08-30T08:39:29.467469+00:00.