Why AI Productivity Is a Faulty Metric
The most dangerous AI productivity metric is the one that is easiest to screenshot.
Prompts sent, tokens spent, suggestions accepted, lines of code generated. These numbers look impressive on a dashboard, but they often mask a more pointed question: “Did our software actually get better?”
We’re now using AI coding tools at a pace few predicted years ago. I've spent my career on both sides of the equation, first building the systems that measure developer productivity, and now watching how those measurements get used (and misused) once AI enters the picture. Today, leading product at Stack Overflow means sitting at the intersection of both: the knowledge technologists rely on, and the tools now built to access and contribute to it.
In fact, our own annual surveyfound that 84% of respondents use or plan to use AI tools in development work — but 46% don’t trust the accuracy of AI’s...
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