This paper examines the iterative integration of manual and automated coding within the methodological framework of Quantitative Ethnography (QE). By combining the interpretive depth of hand coding with the scalability and consistency of automated coding, we demonstrate how iterative coding enhances analytic rigor, transparency, and validity. Drawing on an ongoing QE study exploring Black intra-racial dynamics and identity negotiation, we illustrate how iterative coding cycles—anchored in both inductive and deductive processes—refine thematic accuracy and reduce bias. Each phase, from exploratory automatic coding to manual validation and refinement, contributed to a robust coding schema that supported both contextual sensitivity and systematic reproducibility. The findings highlight key methodological insights, including the importance of clearly defined protocols, ongoing recalibration, and interdisciplinary expertise. We argue that this iterative approach aligns with QE’s core goals of integrating qualitative nuance with quantitative and computational precision, offering a scalable and reflexive model for analyzing complex, context-rich qualitative data at scale.