Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
Upstream compilers like Clang/LLVM don’t want to know anything about JS or the web platform, and not just for lack of effort. Generating and maintaining JS and web glue code is a specialty skill that is difficult for already stretched-thin maintainers to justify. They just want to generate a single binary, ideally in a standardized format that can also be used on platforms besides the web.
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It is also necessary to emphasize that many optimizations are only possible in parts of the spec that are unobservable to user code. The alternative, like Bun "Direct Streams", is to intentionally diverge from the spec-defined observable behaviors. This means optimizations often feel "incomplete". They work in some scenarios but not in others, in some runtimes but not others, etc. Every such case adds to the overall unsustainable complexity of the Web streams approach which is why most runtime implementers rarely put significant effort into further improvements to their streams implementations once the conformance tests are passing.，详情可参考同城约会
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