All 15 Async Generators & Async Context Managers questions
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How do you handle backpressure when an async generator produces items faster than the consumer can process them?

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Answer

Since 'async for' inherently pauses the PRODUCER (the generator's execution) at each yield until the consumer calls __anext__() again, async generators are naturally backpressure-aware — the producer literally cannot get ahead of the consumer, unlike a callback-based push model where you'd need an explicit buffer or queue.
async def slow_consumer(source):
    async for item in source:
        await asyncio.sleep(1)  # slow processing
        process(item)
        # the producer naturally waits here until we call __anext__ again
Real-world example Processing a fast-arriving async data stream (like a websocket feed) without needing to manually implement a bounded buffer or queue.

Common follow-ups: How would you add EXPLICIT buffering on top of this if you wanted the producer to run ahead by a controlled amount?

Concurrency (asyncio/threading/multiprocessing)
All 15 Async Generators & Async Context Managers questions