This is interesting, but it also highlights a shift from “using tools to solve problems” to “optimizing usage of the tool itself.” I wonder how much of this will correlate with actual productivity vs just higher token consumption. Usage metrics are easy to measure, but value created is much harder.
Yeah, totally agree, but I think measuring the usage is always the first step to know if you are using the tool correctly or not and then we can optimise it. First thing is always about finding the problems and then solving them.