Show HN: Flux, A Python-like language in Rust to solve ML orchestration overhead (github.com)

Flux is an innovative, high-performance programming language built in Rust, designed specifically for efficient AI orchestration. By minimizing Python interpreter overhead, Flux offers a lean execution environment ideal for Tensor operations. It tackles performance bottlenecks common in frameworks like PyTorch, which are hindered by Python's Global Interpreter Lock (GIL), by executing tasks in a memory-safe Rust binary. The language ensures a balance between dynamic flexibility and static safety, allowing developers to code with Python-like simplicity while also incorporating type hints when necessary for crucial parts of the code. What sets Flux apart is its native handling of Tensors, treating them as first-class citizens and providing optimized operators. It seamlessly integrates with the Rust ecosystem, emphasizing a lightweight runtime to streamline AI orchestration. The language supports bi-directional conversions between Flux and NumPy, translating Python errors into Flux errors for better debugging. With features like an initial static type checker and full support for basic control flows, Flux positions itself as a unique player in the AI infrastructure landscape, complementing existing languages like Mojo while addressing performance concerns specific to Tensor operations.