VQV Signal
According to a post on X by @rohanpaul_ai, summarizing a Carnegie Mellon and JetBrains paper, doubling an engineer's coding-agent token spend went with only about 10% more commits. Among weeks with similar commit counts, the heaviest weeks used 39 to 240 times the tokens of the lightest. The study covered 404 JetBrains engineers, according to the headline. The post describes this as evidence that token consumption is a weak signal of shipped work.
According to a post on X by @rohanpaul_ai, summarizing a Carnegie Mellon and JetBrains paper, doubling an engineer's coding-agent token spend went with only about 10% more commits. Among weeks with similar commit counts, the heaviest weeks used 39 to 240 times the tokens of the lightest. The study covered 404 JetBrains engineers, according to the headline. The post describes this as evidence that token consumption is a weak signal of shipped work.
AI-assisted summary based on the listed source.
Per @rohanpaul_ai's summary of a Carnegie Mellon and JetBrains paper, doubling an engineer's coding-agent token spend went with only about 10% more commits. Among weeks with similar commit counts, the heaviest weeks used 39 to 240 times the tokens of the lightest. Why it matters: Companies ranking engineers by AI...
Companies that rank engineers by AI token use could be rewarding high spending rather than delivered code. Engineering managers and tool builders may need to rethink how they measure productivity from coding agents. Watch whether the full paper and independent researchers confirm these ratios.
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VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
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