Rust Core Architecture

To build a Rust core library with FFI bindings, use this architecture to implement domain logic and generate bindings via PyO3 for Python and NAPI-RS for Node.js, ensuring type-safe cross-language integration.

Structuring a multi-language Rust web service requires separating domain logic from bindings, using thiserror for error handling, and defining a standard processing pipeline for parsing, validating, and transforming data across FFI boundaries.

Yes, you can share Rust processing logic across PHP, Ruby, and WebAssembly by generating FFI bindings using ext-php-rs, Magnus, and WASM targets, allowing high-performance domain logic execution in each environment.

The processing pipeline handles data validation and transformation by defining a standard flow: parsing raw input, applying transformations, validating domain rules, and formatting output before returning results across the FFI boundary.

You need a comprehensive testing strategy covering doc tests, unit tests for core logic, integration tests for FFI bindings, and benchmarks to verify performance and reliability across Rust and target language boundaries.

Using a Rust core architecture provides high-performance, type-safe domain logic that prevents runtime errors common in dynamically typed languages, while FFI bindings allow seamless integration without rewriting logic for each platform.