study8677/awesome-architecture resource
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs. observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 98
- Release rhythm 35
- Longevity 7
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 102
- days_rel: n/a
- days_push: 12
- n_releases_24m: 0
Adoption not part of the score
2211 stars · 246 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A bilingual (Chinese/English) open-source knowledge base focused on software architecture rather than code, offering 40 architecture-thinking tutorials, 31 real-system architecture templates, and 6 end-to-end case studies. It covers classic systems (e-commerce, IM, payments) as well as AI-native systems (RAG, LLM inference, AI agents, AI gateways), emphasizing design trade-offs and decision-making.
Use cases
- learn system design for backend interviews
- study architecture patterns for distributed systems
- understand how to design a RAG knowledge base
- prepare for system design interview questions
- learn trade-offs in microservices and scalability
- find reference architectures for AI agent systems
- study real-world architecture diagrams of popular systems
When to choose
- you want architecture-level thinking and trade-off analysis rather than code tutorials
- you are preparing for system design or staff-engineer interviews
- you need reference architectures for AI-native systems like RAG, LLM inference, or agent workflows
- you prefer bilingual Chinese/English learning material
When to avoid
- you need runnable code, frameworks, or libraries rather than conceptual material
- you want deep hands-on implementation guides for a specific language or stack
- you need formal academic treatment of architecture theory
Facets
learning-resource · maturity active
documentation developer-tools microservices large-language-models tutorials awesome-lists developer-tools cross-platform system-design architecture-patterns microservices interview-preparation ai-native-systems rag ai-agents architecture-decision-records bilingual scalability software-architecture web-server
2 sources
- readme: https://github.com/study8677/awesome-architecture · fetched 2026-08-28 · 6b07bf99b57f
- homepage: https://study8677.github.io/awesome-architecture/ · fetched 2026-08-29 · 2d0588691a1e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| study8677/awesome-architecture | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="study8677/awesome-architecture")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem