# yanfeizhang/coder-kung-fu

开发内功修炼

Repository: https://github.com/yanfeizhang/coder-kung-fu
Canonical: https://ross.abutalabs.com/products/coder-kung-fu
Language: C
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T13:17:36+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2052, "days_push": 7, "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 6807, forks 1060 (observed 2026-08-28T04:09:48.739531+00:00)

## What it is
A curated collection of in-depth Chinese-language technical articles ('Coder Kung Fu') explaining how CPUs, memory, disks, networks, GPUs, and the Linux kernel actually work under the hood. It accompanies the author's published books on Linux processes/memory and Linux networking.

## Use cases
- understand how CPU caches and TLB work
- learn Linux kernel memory management internals
- understand how network packets traverse the kernel
- learn GPU and NVIDIA architecture fundamentals
- deepen systems programming fundamentals for performance tuning
- prepare for backend/systems engineering interviews

## When to choose
- you want deep, low-level explanations of hardware and Linux kernel internals
- you are a backend or systems engineer strengthening fundamentals
- you prefer article-based learning with practical performance insights

## When to avoid
- you need runnable software, libraries, or tools
- you want beginner-friendly or English-language tutorials
- you need structured course material with exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: developer-tools, operating-systems, hardware, tutorials, performance
- platform: cross-platform
- tags: computer-architecture, linux-kernel, cpu, memory-management, networking, gpu, deep-dive-articles, chinese-language, linux

## Member repositories
- yanfeizhang/coder-kung-fu (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:48.739531+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 2026-08-29T17:42:04.360411+00:00, confidence not recorded.
  - readme: https://github.com/yanfeizhang/coder-kung-fu (fetched 2026-08-28T04:09:48.739531+00:00, sha f1f0185bf469)
- Data as of 2026-08-30T08:39:29.467469+00:00.