# youngyangyang04/TechCPP

【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

Repository: https://github.com/youngyangyang04/TechCPP
Canonical: https://ross.abutalabs.com/products/techcpp
License Family: other
Last push: 2025-04-14T04:13:23+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 16, release rhythm 35, longevity 100
- inputs: {"age_days": 2243, "days_push": 506, "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 3056, forks 422 (observed 2026-08-28T04:07:39.750081+00:00)

## What it is
A curated Chinese-language knowledge base of C++ backend engineering interview questions and learning materials, covering topics like virtual functions, smart pointers, memory management, and STL internals. It is maintained by the author of programmercarl.com and actively updated with community contributions.

## Use cases
- prepare for a C++ backend engineer interview
- review C++ interview questions on virtual functions and memory
- learn STL internals and implementation principles
- find a structured C++ backend learning roadmap
- study smart pointers and memory management for interviews

## When to choose
- you are preparing for C++ backend development interviews
- you want a question-driven review of core C++ concepts
- you prefer Chinese-language technical explanations

## When to avoid
- you need a beginner tutorial from zero (the repo points to separate courses)
- you want runnable project code rather than Q&A notes
- you need English-language material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: programming-languages, tutorials, backend, developer-tools
- platform: cpp, cross-platform
- tags: cpp-interview-prep, cpp-learning-guide, stl, backend-development, knowledge-base

## Member repositories
- youngyangyang04/TechCPP (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:39.750081+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 2026-08-30T07:28:50.689358+00:00, confidence not recorded.
  - readme: https://github.com/youngyangyang04/TechCPP (fetched 2026-08-28T04:07:39.750081+00:00, sha b39bfa85605e)
- Data as of 2026-08-30T08:39:29.467469+00:00.