Why measuring developer productivity by AI token usage is a flawed metric
By
Alonso del Arte
If you only eat one bagel today, this is the bagel.
Summary
The article criticizes the trend of managers using AI token usage as a metric to measure software developer productivity. It argues that this is a flawed approach that leads developers to game the system through practices like "tokenmaxxing" — artificially inflating AI token consumption. The piece draws parallels to other bad productivity metrics that have historically been used in software development, and contends that pushing AI tools on developers and measuring their output through token counts is counterproductive and misunderstands how real development work gets done.
Key quotes
· 3 pulledWhen a dev's job depends on a bad metric, he's got no choice but to game it.
Something about A.I. makes pointy-haired bosses focus on the worst metrics for measuring the productivity of software developers.
If the pointy-haired boss is tracking A.I. token usage, the devs are going to engage in what is called 'tokenmaxxing.'
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