Software Systems AtlasAtlas of Software Systems

A systematic knowledge map for programmers at every stage Every reader follows their own path

Vol 0 · Developer Workshop

Terminal/Bash → Git → IDE Debugger → Package Management → Docker. Survival skills before writing code.

Enter Vol 0 →

Vol 1 · Programming Basics

Variables & Types → Control Flow → OOP → Concurrency → I/O. Forge your own Swiss Army knife.

Enter Vol 1 →

Vol 2 · Data Structures & Algorithms

Big O → Linked Lists/Hash Tables → Trees/Graphs → Sorting → DP. Give your code a super-powered brain.

Enter Vol 2 →

Vol 3 · Deep Dive into Computer Systems

CPU/Memory → Operating Systems → Processes/Threads → Performance Engineering. How code becomes electrical current.

Enter Vol 3 →

Vol 4 · Computer Networking

TCP/IP → HTTP/HTTPS → gRPC → DNS/CDN. Code travels across oceans to see you.

Enter Vol 4 →

Vol 5 · Databases & Data Systems

SQL → Transactions & MVCC → B+ Tree/LSM-Tree → Query Compilation → Distributed Databases. From basics to internals, explained all at once.

Enter Vol 5 →

Vol 6 · Software Engineering & Design Patterns

Software Construction → ADT → 23 GoF Patterns → Clean Architecture → Microservices → AI System Patterns. From coder to architect.

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Vol 7 · Distributed Systems

CAP/FLP → Raft → Distributed Storage → MapReduce → Observability. On par with MIT 6.5840.

Enter Vol 7 →

Vol 8 · Security & Cryptography

Cryptography → PKI → OAuth2/JWT → Web Security → Privacy Protection. Put on your armor.

Enter Vol 8 →

Vol 9 · Language Deep Dive

Type Systems → Memory Models → Concurrency Models → Functional Programming → JVM Bytecode. Dive into the language's depths.

Enter Vol 9 →

Vol 10 · Mathematics Foundations

Discrete Math → Combinatorics/Probability → Linear Algebra/Calculus → Information Theory. Three prep stations running through the entire site.

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Vol 11 · Compilers & Formal Languages

DFA/NFA → CFG → Turing Machines → Lexical/Syntax Analysis → Code Generation. On par with Stanford CS143.

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Vol 12 · Data Processing & Data Science

Data Cleaning → EDA → Statistical Inference → Feature Engineering → Data Governance. Extract gold from data.

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Vol 13 · AI & Machine Learning

Search/Reinforcement Learning → Linear/Tree Models → CNN/Transformer → LLM/RAG/Agent. Move from rule execution to data-driven decision making.

Enter Vol 13 →

Choose Your Entry Point

Not a zero-baseline linear path: This site covers the complete chain from CS undergraduate to professional advanced study. Each volume's home page lists prerequisites. Please choose a suitable starting point based on your level.

First time writing code — Start from Volume 0 (readable for absolute beginners), install JDK + write your first HelloWorld
Start →

Know a bit of Java, but not systematic — From variables to collections, fill in the gaps
Enter Vol 1 →

Know the basics, want to understand backend systems — Complete chain from HTTP, databases to distributed systems
View Learning Paths →

Want to understand a real software system — Start from "how a request flows through the system"
(Content under planning, check learning paths first)

14 Volumes + 6 Tracks · 3 Languages · Phase 1/2: Skeleton Complete → Production Engineering Expanding

All 162 chapter directories ready · See PLAN.md

Last updated: 2026-06-25