TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.
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You might assume this pattern is inherent to streaming. It isn't. The reader acquisition, the lock management, and the { value, done } protocol are all just design choices, not requirements. They are artifacts of how and when the Web streams spec was written. Async iteration exists precisely to handle sequences that arrive over time, but async iteration did not yet exist when the streams specification was written. The complexity here is pure API overhead, not fundamental necessity.
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