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In practice, (and yes, there are always exceptions to be found) BYOB is rarely used to any measurable benefit. The API is substantially more complex than default reads, requiring a separate reader type (ReadableStreamBYOBReader) and other specialized classes (e.g. ReadableStreamBYOBRequest), careful buffer lifecycle management, and understanding of ArrayBuffer detachment semantics. When you pass a buffer to a BYOB read, the buffer becomes detached – transferred to the stream – and you get back a different view over potentially different memory. This transfer-based model is error-prone and confusing:
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icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.
Jacqui Gabb, Professor of Sociology and Intimacy at The Open University, assessed this in her Enduring Love project, published in the journal Sociology in 2015.