●researcherThe taxonomy and dataset methodology — open-coding 500 samples then scaling with EM-aggregated LLM classifiers — offers a replicable approach for studying AI tool adoption in the wild.
●founderTemporal trends from 3+ years of real developer behavior provide signal on which AI coding use cases are sticking versus declining.