AI coding agents face bottleneck in developer review speed, not execution

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A developer explains that running multiple AI coding agents in parallel does not proportionally increase productivity. The primary bottleneck is the single developer's capacity to review results, answer questions, and grant permissions. Each agent follows a cycle of working, getting blocked, and waiting for human input, during which it is idle. This creates a queueing system where the developer acts as a single server, and adding more agents increases wait times non-linearly according to queueing theory principles.

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