# careercup/ctci

Cracking the Coding Interview, 5th Edition

Repository: https://github.com/careercup/ctci
Canonical: https://ross.abutalabs.com/products/ctci
Language: Java
License Family: other
Last push: 2023-06-26T09:01:08+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": 4913, "days_push": 1164, "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 5136, forks 2250 (observed 2026-08-28T04:09:11.097056+00:00)

## What it is
A collection of Java solutions to the exercises in 'Cracking the Coding Interview, 5th Edition'. It serves as a study companion for software engineers preparing for technical coding interviews.

## Use cases
- prepare for coding interview questions
- practice data structures and algorithms problems in Java
- compare my solutions to Cracking the Coding Interview exercises
- study common interview problems before a job interview
- find reference implementations of classic interview puzzles

## When to choose
- you are working through the 5th edition of Cracking the Coding Interview and want reference solutions
- you prefer Java implementations of interview problems
- you want a well-starred community resource for interview prep

## When to avoid
- you need solutions for the 6th edition of the book
- you need a maintained project with a license for production use
- you want solutions in languages other than Java or Objective-C

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

## Member repositories
- careercup/ctci (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.097056+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 2026-08-29T18:02:01.425895+00:00, confidence not recorded.
  - readme: https://github.com/careercup/ctci (fetched 2026-08-28T04:09:11.097056+00:00, sha 43607d99e20d)
- Data as of 2026-08-30T08:39:29.467469+00:00.