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rainoftimerainoftime/pl-skills/ffi-designer/SKILL.md

ffi-designer

Skill17 starsChanged 9 months agoApache-2.0View on GitHub

Design and implement Foreign Function Interfaces for calling code in other languages.

The file

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2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

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  • ≈2

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  1. Distinctive:

    Use binding generators for large libraries

    line 43
  2. Distinctive:

    When performance isn't critical

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SKILL.md

FFI Designer

Foreign Function Interfaces (FFI) enable programs to call code written in other languages. They bridge language runtimes and enable reuse of existing libraries.

When to Use This Skill

  • Calling C libraries from high-level languages
  • Interoperability between language runtimes
  • Binding generation
  • Performance-critical interop
  • Embedding interpreters

What This Skill Does

  1. Type Mapping: Convert types between languages
  2. Calling Convention: Handle ABI differences
  3. Memory Management: Manage memory across boundaries
  4. Callback Support: Allow foreign code to call back
  5. Error Handling: Propagate exceptions across FFI

Key Concepts

ConceptDescription
ABIApplication Binary Interface
Calling ConventionHow parameters are passed
Type MarshallingConvert types across boundaries
CallbackFunction pointer passed to foreign code
BindingGlue code for FFI

Tips

  • Use binding generators for large libraries
  • Handle memory ownership carefully
  • Document ownership semantics
  • Test with sanitizers
  • Consider thread safety

Common Use Cases

  • Calling C libraries
  • System programming
  • Performance-critical code
  • Native GUI bindings
  • Game engine integration

Related Skills

  • llvm-backend-generator - Generate FFI code
  • type-checker-generator - Type-safe FFI
  • memory-allocator - Memory management

Canonical References

ReferenceWhy It Matters
ctypes documentationPython FFI
JNI specificationJava Native Interface
"FFI and PL design" papersDesign principles

Tradeoffs and Limitations

Approach Tradeoffs

ApproachProsCons
ctypesSimple, PythonSlow
cffiFastMore complex
Native bindingsFastestLanguage-specific

When NOT to Use This Skill

  • Pure language code
  • When performance isn't critical
  • Cross-platform portability required

Limitations

  • ABI compatibility issues
  • Platform-specific behavior
  • Complex type mappings

Assessment Criteria

A high-quality implementation should have:

CriterionWhat to Look For
Type SafetyCorrect type mappings
Memory SafetyProper ownership
PerformanceMinimal overhead
UsabilityEasy to use

Quality Indicators

✅ Good: Type-safe, handles memory correctly, clean API ⚠️ Warning: Some manual memory management needed ❌ Bad: Type-unsafe, memory leaks, crashes

Research Tools & Artifacts

Real-world FFI systems:

ToolWhy It Matters
cffi (Python)C FFI for Python
JNIJava Native Interface
SWIGSimplified wrapper generator
clang bindingsLLVM-based FFI

Key Systems

  • GHC Haskell FFI: Type-safe FFI
  • Rust FFI: Safe FFI with ownership

Research Frontiers

Current FFI research:

DirectionKey PapersChallenge
Safe FFI"Safe FFI" (2018)Memory safety
Zero-cost"Zero-cost FFI"Performance
Bidirectional"Foreign函"Two-way interop

Hot Topics

  1. WebAssembly FFI: Wasm FFI design
  2. Multi-language runtimes: GraalVM polyglot

Implementation Pitfalls

Common FFI bugs:

PitfallReal ExamplePrevention
Memory leaksNot freeing native memoryOwnership rules
Type mismatchesWrong ABIUse bindings
GC issuesGC collected native pointerKeep reference
EncodingString encoding issuesUse proper encoding

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