We present InfiniteOpt.jl which facilitates a coherent unifying abstraction for characterizing infinite-dimensional optimization problems rigorously through a common lens. This decouples models from discretized forms and promotes the use of novel transformations. This new perspective encourages new theoretical crossover and novel problem formulations (creating new disciplines like random field optimization).