Understanding the dynamics of supramolecular polymers is essential for designing materials with tunable properties, such as self-healing and adaptability. However, experimental characterization of monomer exchange in these systems has remained challenging due to spatial and temporal resolution limitations. The work I review here shows how computational chemistry has provided crucial insights into these processes, allowing the prediction of monomer exchange mechanisms ahead of experimental confirmation.