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The Web streams spec requires promise creation at numerous points — often in hot paths and often invisible to users. Each read() call doesn't just return a promise; internally, the implementation creates additional promises for queue management, pull() coordination, and backpressure signaling.
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This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
The semantics around releasing locks with pending reads were also unclear for years. If you called read() but didn't await it, then called releaseLock(), what happened? The spec was recently clarified to cancel pending reads on lock release — but implementations varied, and code that relied on the previous unspecified behavior can break.
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