# frank-lam/fullstack-tutorial

🚀 fullstack tutorial 2022，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试

Repository: https://github.com/frank-lam/fullstack-tutorial
Canonical: https://ross.abutalabs.com/products/fullstack-tutorial
Homepage: https://frank-lam.github.io/fullstack-tutorial
Language: Java
License Family: other
Topics: skill-tree, java, fullstack-developer, computer-science, interview, java-interview
Last push: 2022-12-02T03:33:19+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": 3065, "days_push": 1370, "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 11685, forks 2386 (observed 2026-08-28T04:10:49.487159+00:00)

## What it is
A Chinese-language fullstack developer tutorial and interview preparation guide covering algorithms, Java, Python, frontend, databases, operating systems, networking, and distributed systems. It includes backend skill-tree roadmaps and notes aimed at students preparing for campus recruitment and technical interviews.

## Use cases
- prepare for java backend interview
- learn fullstack development roadmap
- review data structures and algorithms for campus recruitment
- study java concurrency and jvm notes
- find a backend developer skill tree
- brush up on operating systems and networking for interviews

## When to choose
- you are preparing for Chinese tech company interviews or campus recruitment
- you want a curated roadmap of backend/fullstack topics with links to notes
- you prefer structured study notes over interactive courses

## When to avoid
- you need runnable code or a maintained software library
- you want up-to-date content, as the last release was in 2022
- you need English-language materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, developer-tools, education, programming-languages, backend, web-development
- platform: cross-platform
- tags: interview-preparation, fullstack, java, skill-tree, chinese-language, backend-architecture, computer-science

## Member repositories
- frank-lam/fullstack-tutorial (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:49.487159+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 2026-08-29T17:15:24.192267+00:00, confidence not recorded.
  - readme: https://github.com/frank-lam/fullstack-tutorial (fetched 2026-08-28T04:10:49.487159+00:00, sha 102a71e797ee)
  - homepage: https://frank-lam.github.io/fullstack-tutorial (fetched 2026-08-29T08:13:39.005711+00:00, sha 5e6cff4f4233)
- Data as of 2026-08-30T08:39:29.467469+00:00.