At Meta, Microsoft, Salesforce and other large companies, devs are purposefully burning tokens (and money!) to inflate their AI usage and hit AI usage metrics which they treat as targets.
Most people have learned by now, that “lines of code“ is a terrible metric for evaluating productivity. Why are we doing the exact same thing with AI tokens now?
I’m no developer, just so some casual scripting for my job, but lines of code being a performance metric is a hilarious notion. Like, the indicator of good code is that it’s efficiently written in a small number of lines. It’s similarly just as easy to waste tokens on nothing of value.
Most people have learned by now, that “lines of code“ is a terrible metric for evaluating productivity. Why are we doing the exact same thing with AI tokens now?
Because middle manglement has a constant compulsive need to justify their existence by finding new ways and metrics to “manage”.
I’m no developer, just so some casual scripting for my job, but lines of code being a performance metric is a hilarious notion. Like, the indicator of good code is that it’s efficiently written in a small number of lines. It’s similarly just as easy to waste tokens on nothing of value.