We use active automata-based learning to extract the state machine underlying the modal text editor Vim. We expose the various challenges to interface an active learning library with the text editor. Furthermore, we report on how we uncovered several issues and how they were dealt with by the (Neo)Vim developers. Finally, we reflect on the possible uses of automatically extracted finite-state machines beyond bug reports.