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CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Kilo Code presents large-token dataset on how developers adopt AI agents (25T cited)

At QCon AI, Brendan O'Leary of Kilo Code used real-world gateway usage data — the talk's title cites 25 trillion tokens while he also references ~40 trillion tokens — to argue developer adoption of agentic tools depends more on building trust than on model benchmark scores. He outlined a four-rung "trust ladder" and identified technical failure points in context construction, multi-model routing, and feedback loops that hinder scaling agentic workflows.

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