Unverified50% confidenceOpinionExact time
The pace of human PRs is measured in hours or even days, whereas the output pace of Agents may be on the order of minutes, so a merge queue based on manual review will quickly become a bottleneck.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/26/2026
First Seen
Valid until: 1/24/2027
Sources
Related Entities
Related Claims
UnverifiedIn large language model-driven Agent scenarios, the Agent can concurrently initiate a large number of operations within seconds, while it usually takes a human tens of seconds to several minutes to complete one meaningful review, which degrades HITL from a control mechanism into an efficiency bottleneck or a formalized signature.74% similarUnverifiedGenerating an AI PR takes only a few seconds, but reviewing it can take tens of minutes, creating a severe asymmetry in review burden.72% similarUnverifiedIn a CrewAI task with a total runtime of 23.8 seconds, only 2.3 seconds were attributable to model calls, 8.8 seconds were spent on framework mediation during agent handoffs, and 8.6 seconds were spent on context serialization and retries.69% similarUnverifiedBrown observed that each time AI crosses a mathematical benchmark threshold, the human time required for the tasks it can handle increases by approximately 10x (GSM8K ~5 seconds, MATH ~1 minute, olympiad qualification level ~10 minutes).67% similarUnverifiedTraditional front-end design review, feedback collection, and item-by-item code modification take weeks, which shrinks to days after adopting coding agents, while the perception agent workflow can compress the cycle to hours.67% similar
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