llvm-backend

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Expert skill for LLVM integration including IR generation, optimization passes, and native code emission

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# LLVM Backend Skill ## Overview Expert skill for LLVM integration including IR generation, optimization passes, and native code emission. ## Capabilities - Generate LLVM IR from high-level AST/IR - Configure and run LLVM optimization passes - Implement custom LLVM passes - Handle LLVM type system mapping - Generate debug information (DWARF) - Configure target machine and code generation options - Implement LLVM JIT (ORC, MCJIT) integration - Handle cross-compilation target triples ## Target Processes - code-generation-llvm.js - jit-compiler-development.js - debugger-adapter-development.js - ir-design.js ## Dependencies - LLVM C++ API - llvm-sys bindings - Inkwell (Rust LLVM bindings) ## Usage Guidelines 1. **Type Mapping**: Establish clear mapping between source types and LLVM types 2. **SSA Form**: Leverage LLVM's SSA form; generate clean IR and let LLVM optimize 3. **Debug Info**: Generate debug info from the start using DIBuilder 4. **Optimization Levels**: Test with -O0 first, then enable optimizations incrementally 5. **Target Configuration**: Abstract target-specific code behind target triple configuration ## Output Schema ```json { "type": "object", "properties": { "llvmVersion": { "type": "string" }, "targetTriple": { "type": "string" }, "optimizationLevel": { "type": "string", "enum": ["O0", "O1", "O2", "O3", "Os", "Oz"] }, "passes": { "type": "array", "items": { "type": "string" } }, "generatedFile...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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