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compiler-development

Guides the compiler design process, covering parsing, intermediate representation, and optimization phases.

Install

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Installs to .claude/skills/compiler-development

Activation

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Expertise in compiler development using LLVM infrastructure including frontend design, IR generation, optimization passes, and code generation. Use this skill when building custom programming languages, implementing DSL compilers, or working on compiler internals.
264 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Designing compiler frontends
  • Generating LLVM IR
  • Implementing optimization passes
  • Developing JIT compilation logic
  • Structuring custom ASTs

How it works

The skill provides architectural patterns and code templates for the three-phase compiler design process, including frontend parsing, LLVM IR generation, and optimization pass management.

Inputs & outputs

You give it
Compiler design requirements or language specification
You get back
LLVM IR generation code, optimization pipelines, or JIT implementation

When to use compiler-development

  • Designing compiler frontends
  • Generating LLVM IR
  • Implementing custom ASTs

About this skill

Compiler Development Skill

This skill provides comprehensive knowledge of building compilers and language implementations using the LLVM infrastructure.

Compiler Architecture Overview

Classic Three-Phase Design

Source Code → Frontend → Middle-End (Optimizer) → Backend → Machine Code
                ↓              ↓                      ↓
             AST/IR      LLVM IR Passes          Target Code

Frontend Development

Lexical Analysis

// Token types for a simple language
enum class TokenKind {
    Identifier,
    Number,
    String,
    Keyword,
    Operator,
    Punctuation,
    EndOfFile
};

struct Token {
    TokenKind kind;
    std::string value;
    SourceLocation location;
};

Parser Implementation

  • Recursive Descent: Easy to implement, good error messages
  • Operator Precedence Parsing: Efficient for expression parsing
  • LALR/LR: Use tools like Bison for complex grammars

AST Design

class Expr {
public:
    virtual ~Expr() = default;
    virtual llvm::Value* codegen() = 0;
};

class BinaryExpr : public Expr {
    std::unique_ptr<Expr> LHS, RHS;
    char Op;
public:
    llvm::Value* codegen() override {
        llvm::Value* L = LHS->codegen();
        llvm::Value* R = RHS->codegen();
        
        switch (Op) {
            case '+': return Builder.CreateFAdd(L, R, "addtmp");
            case '-': return Builder.CreateFSub(L, R, "subtmp");
            case '*': return Builder.CreateFMul(L, R, "multmp");
            case '/': return Builder.CreateFDiv(L, R, "divtmp");
        }
    }
};

LLVM IR Generation

Module and Context Setup

#include "llvm/IR/LLVMContext.h"
#include "llvm/IR/Module.h"
#include "llvm/IR/IRBuilder.h"

class CodeGen {
    std::unique_ptr<llvm::LLVMContext> Context;
    std::unique_ptr<llvm::Module> Module;
    std::unique_ptr<llvm::IRBuilder<>> Builder;
    
public:
    CodeGen() {
        Context = std::make_unique<llvm::LLVMContext>();
        Module = std::make_unique<llvm::Module>("my_module", *Context);
        Builder = std::make_unique<llvm::IRBuilder<>>(*Context);
    }
};

Function Generation

llvm::Function* createFunction(const std::string& name, 
                                llvm::Type* returnType,
                                std::vector<llvm::Type*> params) {
    llvm::FunctionType* FT = llvm::FunctionType::get(returnType, params, false);
    llvm::Function* F = llvm::Function::Create(
        FT, llvm::Function::ExternalLinkage, name, Module.get());
    
    llvm::BasicBlock* BB = llvm::BasicBlock::Create(*Context, "entry", F);
    Builder->SetInsertPoint(BB);
    
    return F;
}

JIT Compilation

LLVM ORC JIT

#include "llvm/ExecutionEngine/Orc/LLJIT.h"

auto JIT = llvm::orc::LLJITBuilder().create();
if (!JIT) {
    handleError(JIT.takeError());
}

// Add module
(*JIT)->addIRModule(llvm::orc::ThreadSafeModule(
    std::move(Module), std::move(Context)));

// Look up symbol and execute
auto Sym = (*JIT)->lookup("main");
auto* MainFn = (int(*)())Sym->getAddress();
int result = MainFn();

Optimization Pass Pipeline

New Pass Manager (Recommended)

#include "llvm/Passes/PassBuilder.h"

void optimizeModule(llvm::Module& M) {
    llvm::PassBuilder PB;
    llvm::LoopAnalysisManager LAM;
    llvm::FunctionAnalysisManager FAM;
    llvm::CGSCCAnalysisManager CGAM;
    llvm::ModuleAnalysisManager MAM;
    
    PB.registerModuleAnalyses(MAM);
    PB.registerCGSCCAnalyses(CGAM);
    PB.registerFunctionAnalyses(FAM);
    PB.registerLoopAnalyses(LAM);
    PB.crossRegisterProxies(LAM, FAM, CGAM, MAM);
    
    llvm::ModulePassManager MPM = PB.buildPerModuleDefaultPipeline(
        llvm::OptimizationLevel::O2);
    MPM.run(M, MAM);
}

Custom Pass Implementation

struct MyPass : public llvm::PassInfoMixin<MyPass> {
    llvm::PreservedAnalyses run(llvm::Function& F, 
                                 llvm::FunctionAnalysisManager& FAM) {
        for (auto& BB : F) {
            for (auto& I : BB) {
                // Transform instructions
            }
        }
        return llvm::PreservedAnalyses::none();
    }
};

Language Implementation Patterns

Memory-Safe Languages

  • Use LLVM's memory sanitizer hooks
  • Implement bounds checking with GEP introspection
  • Reference counting or garbage collection integration

Type Systems

  • Implement type inference during AST construction
  • Generate appropriate LLVM types (i32, float, struct, ptr)
  • Handle generic types via monomorphization or boxing

Error Handling

  • Generate exception handling via LLVM's landingpad/invoke
  • Implement Result/Option types as tagged unions
  • Use LLVM's personality functions for unwinding

Notable Language Implementations

Systems Languages

  • Rust: Complex borrow checker, trait system → LLVM
  • Zig: Comptime evaluation, safety features
  • Carbon: C++ interop, modern syntax

Scripting Languages

  • Julia: JIT-compiled scientific computing
  • Crystal: Ruby-like syntax, static typing
  • Nim: Python-like, multi-backend

Domain-Specific

  • Solidity: Ethereum smart contracts
  • MLIR: Multi-level IR for ML/AI workloads
  • Halide: Image processing DSL

Development Workflow

  1. Start Simple: Begin with Kaleidoscope tutorial
  2. Incremental Features: Add one language feature at a time
  3. Test Extensively: Unit tests for each compiler phase
  4. Use LLVM Tools: opt, llc, llvm-dis for debugging IR
  5. Profile and Optimize: Focus on common code patterns

Resources

Official Tutorials

  • LLVM Kaleidoscope: Building a language from scratch
  • Clang internals: Frontend implementation patterns
  • Writing an LLVM Backend: Target code generation

Community Projects

See DIY Compiler section in README.md for 100+ example implementations across different language paradigms.

Getting Detailed Information

When you need detailed and up-to-date resource links, tool lists, or project references, fetch the latest data from:

https://raw.githubusercontent.com/gmh5225/awesome-llvm-security/refs/heads/main/README.md

This README contains comprehensive curated lists of:

  • 100+ DIY compiler implementations (DIY Compiler section)
  • Toolchain configurations and IDE setup
  • Compiler development tutorials and books

When not to use it

  • For general-purpose application development
  • For tasks unrelated to language implementation or compiler internals

Prerequisites

LLVM infrastructure

Limitations

  • Requires familiarity with LLVM infrastructure
  • Focuses on LLVM-based compiler development

How it compares

It offers specialized LLVM-based implementation patterns rather than generic compiler theory or high-level language development.

Compared to similar skills

compiler-development side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
compiler-development (this skill)16moNo flagsAdvanced
arm-cortex-expert294moNo flagsAdvanced
port-c-module22moReviewAdvanced
mlir-development16moReviewAdvanced

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