The new genre of computationally intensive theory construction benefits from being empirically grounded in patterns from data but also theoretically driven to integrate with an existing discourse. In this chapter, I further emphasize how patterns can serve as building blocks not only in creating novel theories but also in cultivating research programs. In particular, I describe the two moves of modularizing and meta-patterning and show how they can be used to evolve diverse research programs. I discuss the opportunities and challenges of programmatic research within the genre of computationally intensive theory construction and beyond.