# Developer-Y/technical-interviews

Repository: https://github.com/Developer-Y/technical-interviews
Canonical: https://ross.abutalabs.com/products/technical-interviews
License Family: other
Last push: 2024-02-07T11:29:50+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": 3579, "days_push": 938, "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 1273, forks 345 (observed 2026-08-28T04:04:12.337068+00:00)

## What it is
A curated guide of links and resources for preparing for software engineering technical interviews, covering coding, algorithms, system design, and company-specific processes. It is a collection of external articles, videos, and blog posts rather than runnable software.

## Use cases
- prepare for a coding interview at a big tech company
- find resources for system design interview prep
- learn how to pass phone screens and whiteboarding interviews
- study algorithms questions before a technical interview
- get advice on interviewing at Google, Facebook, Amazon, or Microsoft

## When to choose
- you want a curated list of high-quality interview prep articles and videos
- you are starting from scratch and need guidance on the interview process at major tech companies

## When to avoid
- you need an interactive practice platform with coding exercises or judge systems
- you want a structured course with lessons rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, developer-tools
- platform: cross-platform
- tags: coding-interview, interview-preparation, curated-links, career, algorithms, system-design

## Member repositories
- Developer-Y/technical-interviews (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.337068+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 2026-08-30T05:03:10.454286+00:00, confidence not recorded.
  - readme: https://github.com/Developer-Y/technical-interviews (fetched 2026-08-28T04:04:12.337068+00:00, sha 9ee2b92405a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.