What problem does it solve?
This Skill helps you build reliable compiler pipelines that transform source code into optimized intermediate representations and correct target machine code using LLVM infrastructure.
Core Features & Use Cases
- Compiler architecture guidance: Covers a classic pipeline from frontend to middle-end optimizers and backend code generation, with clear separation of concerns.
- Frontend implementation patterns: Provides approaches for lexical analysis, parsing strategies, and AST design that support LLVM-friendly codegen.
- LLVM IR and optimization workflow: Shows how to set up LLVM contexts/modules/builders, generate functions, run standard optimization pipelines via the new pass manager, and implement custom passes.
- JIT compilation concepts: Explains how to use LLVM ORC JIT (e.g., LLJIT) to execute generated IR for rapid iteration and tooling.
- Use Case: Implement a custom DSL or research language by building a tokenizer, parser, AST, and LLVM IR generator, then optimize and optionally JIT-run programs for fast feedback during development.
Quick Start
Tell an AI to outline an LLVM-based compiler pipeline for your language, including a lexer/token model, a parser strategy, AST design, LLVM IR codegen for expressions, and an optimization pass setup using the new pass manager.
