DEV TOOLS Signal 194
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Engineers using AI agents report running eight to twelve agents in parallel, which demands constant context-switching and rapid evaluation of agent output rather than sustained flow states. The skills that matter most are shifting toward managing attention and energy, deciding which agent tackles which problem, and judging what deserves rework versus what can move forward.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
The primary bottleneck in AI-assisted development is now human attention, not coding, design, or verification.
Developers working with AI agents are increasingly orchestrating multiple parallel agents rather than spending uninterrupted time in deep coding flow.
The cognitive demands of directing AI agents resemble executive-level work: constant context-switching, evaluating incomplete information, and deciding where to allocate attention.
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