# aforarup/interview

Resources to crack the next coding interview

Repository: https://github.com/aforarup/interview
Canonical: https://ross.abutalabs.com/products/aforarup-interview
License Family: other
Last push: 2024-08-03T07:05:20+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": 3533, "days_push": 760, "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 2034, forks 686 (observed 2026-08-28T04:06:07.769220+00:00)

## What it is
A curated list of resources for preparing for technical coding interviews, including articles, books, coding practice sites, guides, and systems design materials. It is a fork-style awesome list rather than software, aggregating links to external learning content.

## Use cases
- prepare for a coding interview
- find resources for technical interview prep
- study algorithms and data structures for interviews
- learn systems design for job interviews
- get interview tips for companies like Google and Facebook

## When to choose
- you want a single curated starting point for coding interview preparation
- you need links to classic interview prep books, articles, and practice platforms

## When to avoid
- you need interactive practice or an actual coding judge rather than links
- you want actively maintained content with recent updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials, developer-tools
- platform: cross-platform
- tags: interview-preparation, awesome-list, coding-interview, system-design, study-guide, algorithms

## Member repositories
- aforarup/interview (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.769220+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 2026-08-30T02:59:23.719692+00:00, confidence not recorded.
  - readme: https://github.com/aforarup/interview (fetched 2026-08-28T04:06:07.769220+00:00, sha d1523d88b94e)
- Data as of 2026-08-30T08:39:29.467469+00:00.