Lauren Tan argues PR volume now signals engineering productivity alongside impact
Overview
Lauren Tan, posting on X as @poteto, argues that PR volume now matters as a productivity signal because frontier AI agents let anyone produce code at machine speed.
She says the real bottleneck is trust in agent output, not code production, and that paying higher token costs is worth it compared with hiring many engineers. In her framing, the engineer's job shifts from writing code directly to building the machine that produces software. These are Tan's claims and opinions; the report offers no supporting data on PR volume or productivity outcomes.
Written by AI from the articles below · updated Oct 8, 8:02 PM ET
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- Lauren TanLauren Tan argues PR volume matters now that agents make coding machines universal
AILauren Tan argues that with frontier AI agents, anyone can produce code at machine speed, so PR volume now signals productivity alongside impact. She says the bottleneck is trust in agent output, and that higher token costs are worth it compared with hiring many engineers. She frames the engineer's job as building the software-producing machine rather than writing code directly.
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