Where Can I Learn About Compilers and Programming Language Design? A Curated Guide to the cs-self-learning Repository

You can learn about compilers and programming language design through the curated university course collection in the PKUFlyingPig/cs-self-learning repository, which provides complete lab pipelines, Docker-based environments, and step-by-step tutorials from top institutions like PKU, USTC, KAIST, and Stanford.

The cs-self-learning repository serves as a centralized knowledge hub for self-taught computer science students, aggregating high-quality resources on compiler construction and programming language theory. Its architecture organizes content into discipline-specific directories under docs/, with dedicated sections for compiler principles (编译原理) and programming language design (编程语言设计与分析). Each markdown file contains full course descriptions, lab schedules, and links to video lectures, enabling you to build a working compiler from lexical analysis through backend code generation.

University-Level Compiler Courses in the Repository

The repository aggregates complete compiler courses from leading Asian and international universities, each offering distinct pedagogical approaches and toolchains.

Peking University (PKU): Koopa IR and Docker-Based Labs

The docs/编译原理/PKU-Compilers.en.md file outlines PKU’s compiler practice course, which emphasizes incremental compiler construction using Koopa IR (an educational intermediate representation). The course provides a Docker-based one-click environment that eliminates local setup friction.

You can launch the PKU environment with:

# Pull the pre-configured Docker image

docker pull pku/minic:latest

# Run with the repository's compiler docs mounted

docker run -it --rm -v "$(pwd)/docs/编译原理":/workspace/docs pku/minic:latest bash

# Inside the container, navigate to the tutorial

cd /workspace/docs

# Execute the Koopa IR tutorial script

./run_koopa_tutorial.sh

This pipeline guides you through building a compiler front-end that generates Koopa IR, then progressively adds optimization passes and backend code generation.

University of Science and Technology of China (USTC): Six-Lab Pipeline

The docs/编译原理/USTC-Compilers.en.md entry describes USTC’s rigorous six-lab sequence covering the complete compiler stack:

1. Lab 1: Lexical analysis with Flex
2. Lab 2: Parsing with Bison
3. Lab 3: Abstract syntax tree construction and semantic analysis
4. Lab 4: Intermediate representation generation
5. Lab 5: Machine-independent optimizations
6. Lab 6: RISC-V backend code generation

To begin the USTC Flex and Bison workflow:

# Generate the lexical analyzer

flex -o lexer.c lexer.l

# Generate the parser

bison -d -o parser.c parser.y

# Compile the compiler

gcc -o mycompiler lexer.c parser.c main.c

# Test with a sample input

./mycompiler test_input.c

Shanghai Jiao Tong University (SJTU): The Tiger Language Project

The docs/编译原理/SJTU-Compilers.en.md file documents SJTU’s compiler course based on the Tiger language, a pedagogical language designed specifically for teaching compiler construction. The course focuses on modern compiler implementation techniques using the Tiger language grammar as the central case study.

Nanjing University (NJU): ANTLR-4 Based Tutorials

The docs/编译原理/NJU-Compilers.en.md entry provides NJU’s approach using ANTLR 4 (ANother Tool for Language Recognition) for parser generation. This path emphasizes grammar-driven development and provides community discussion links for troubleshooting parser ambiguities and AST construction patterns.

KAIST (CS420): Rust-Based KECC Framework

The docs/编译原理/CS420.en.md file describes KAIST’s CS420 course utilizing KECC (KAIST Educational C Compiler), a framework written in Rust. This course focuses on:

• SSA-based IR (Static Single Assignment intermediate representation)
• Modern optimization techniques
• RISC-V code generation
• Safe systems programming patterns using Rust’s ownership model

Programming Language Design and Analysis Resources

Beyond compiler construction, the repository addresses theoretical and advanced topics in language design.

Stanford CS242: Advanced Type Systems and Rust

The docs/编程语言设计与分析/CS242.en.md entry covers Stanford’s graduate-level course on programming languages, with particular emphasis on:

• Formal semantics and type theory
• Rust’s type system and its interaction with the borrow checker
• Advanced program analysis techniques
• Safety and concurrency guarantees through language design

This resource bridges the gap between compiler implementation (how to build) and language theory (why certain designs prevent entire classes of bugs).

End-to-End Context: Nand2Tetris and the Full Stack

To understand how compilers fit into complete computer systems, the repository references docs/体系结构/N2T.en.md (Nand2Tetris). This course demonstrates the full vertical integration from logic gates through assembly language, culminating in building a Jack compiler that targets a virtual machine. Seeing this end-to-end construction helps you understand exactly where the compiler sits in the hardware-software interface.

Essential Tools and Setup

The repository emphasizes practical tooling for compiler development. The docs/必学工具/tools.en.md file lists essential utilities including Godbolt (Compiler Explorer) for inspecting assembly output, Docker for reproducible build environments, and version control workflows for managing multi-stage compiler projects.

When working with the USTC or PKU labs, you will typically use this toolchain workflow:

# Environment setup (example for USTC Lab 1)

flex -o lexer.c lexer.l
bison -d -o parser.c parser.y
gcc -o compiler lexer.c parser.c main.c -lfl

# Testing

./compiler < test_program.c

Summary

• The cs-self-learning repository aggregates complete compiler courses from PKU, USTC, SJTU, NJU, and KAIST, each providing full lab pipelines from lexical analysis to RISC-V code generation.
• PKU-Compilers.en.md offers a Docker-based environment with Koopa IR tutorials for incremental compiler construction.
• USTC-Compilers.en.md provides a rigorous six-lab sequence using Flex, Bison, and RISC-V backend generation.
• CS420.en.md (KAIST) introduces the Rust-based KECC framework for SSA-based optimization and modern backend techniques.
• CS242.en.md covers advanced programming language theory, type systems, and Rust’s borrow checker semantics.
• Practical setup uses standard compiler construction tools (Flex, Bison, ANTLR4, LLVM) with Docker environments to ensure reproducible builds.

Frequently Asked Questions

What prerequisites do I need before studying compilers?

You should have solid foundations in data structures and computer architecture before attempting the compiler labs in the cs-self-learning repository. Understanding C or Rust syntax is essential since most labs (particularly USTC and KAIST CS420) require implementing compilers in these languages. Familiarity with formal grammars and automata theory will help you grasp Flex and Bison specifications, though the PKU and NJU courses provide sufficient onboarding material for these tools.

Which course in the cs-self-learning repository is best for beginners?

PKU-Compilers.en.md is the most beginner-friendly entry point in the repository. It provides a Docker-based one-click environment that eliminates toolchain setup issues, and it uses Koopa IR—an educational intermediate representation designed specifically for learning. The course follows an incremental "write-a-compiler" workflow where you build the front-end first, then progressively add optimization passes and backend code generation, making the complexity manageable for first-time compiler builders.

How do I set up the development environment for these compiler labs?

Most courses in the repository provide Docker images for reproducible environments. For the PKU compiler course, pull the pre-configured image with docker pull pku/minic:latest and run it with the repository's compiler docs mounted as a volume. For USTC and other Flex/Bison-based labs, you will need to install the GNU compiler toolchain, Flex, and Bison, then compile the generated lexer and parser C files together with your driver code. The repository's docs/必学工具/tools.en.md file lists essential utilities like Godbolt for assembly inspection and Docker for containerized builds.

Does the repository cover modern compiler backends like LLVM or RISC-V?

Yes, the cs-self-learning repository includes extensive coverage of modern backend technologies. USTC-Compilers.en.md features a complete RISC-V code generation lab as its final assignment, teaching you to target real hardware. CS420.en.md (KAIST) utilizes the KECC framework written in Rust, which implements SSA-based IR (Static Single Assignment) and modern optimization techniques similar to LLVM's architecture. While some courses use educational IRs like Koopa for clarity, the progression leads directly to industry-standard concepts and hardware targets.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}