Unverified50% confidenceOpinionExact time
Generation speed can be multiplied by increasing the number of agents or token consumption, but manual review speed is essentially fixed, making review the new bottleneck.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
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Related Claims
UnverifiedIn traditional workflows, review workload grows roughly in sync with code output; but when AI agents greatly increase the speed of code output, the arrival rate of review requests may exceed human reviewers' processing capacity, creating queues and backlogs.76% similarUnverifiedWhen code generation speed is several times greater than human review capacity, only automating the review itself can prevent quality gates from becoming ineffective.74% similarVerifiedSpeculative decoding typically delivers a 2–3× speedup in practical applications.74% similarUnverifiedAs tool proliferation lowers the barrier to submission and the number of submissions surges, the pressure on the review system increases accordingly.72% similarUnverified响应速度越快的产品，单位时间内处理的请求越多，反而越容易触及用量上限70% similar
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