As modern computation platforms become increasingly complex, their programming interfaces are increasingly dicult to use. is complexity is especially inappropriate given the relatively simple core functionality that many of the computations implement. We present a new approach for obtaining soware that executes on modern computing platforms with complex programming interfaces. Our approach starts with a simple seed program, wrien in the language of the developer’s choice, that implements the desired core functionality. It then systematically generates inputs and observes the resulting outputs to learn the core functionality. It nally automatically regenerates new code that implements the learned core functionality on the target computing platform. is regenerated code contains both (a) boilerplate code for the complex programming interfaces that the target computing platform presents and (b) systematic error and vulnerability checking code that makes the new implementations robust and secure. By providing a productive new mechanism for capturing and encapsulating knowledge about how to use modern complex interfaces, this new approach promises to greatly reduce the developer eort required to obtain secure, robust soware that executes on modern computing platforms.