Capacity, Not Horsepower: Rethinking How We Measure AI's Impact on Engineering

Capacity, Not Horsepower: Rethinking How We Measure AI's Impact on Engineering Move past vanity metrics and learn how to prove AI's real impact on engineering, using data from 500+ organizations

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Hours saved and lines of code don't show whether AI is working. Justin Reock (DX) and Uma Namasivayam (Dropbox) share a research backed framework for measuring what leadership actually wants to know: is your engineering team delivering more innovation, more reliably and sustainably?

Key takeaways:

[li indent=0 align=left]Why AI adoption is the wrong metric, and impact is the right one [li indent=0 align=left]Why faster engineering doesn't automatically mean more value [li indent=0 align=left]How to turn AI-generated capacity into business impact