This chapter provides a comprehensive programming guide to stochastic frontier analysis (SFA), focusing on the practical implementation of various model specifications. The tutorial begins by detailing the programming of the classical stochastic frontier model, establishing a foundational understanding of how to estimate firm-level technical inefficiency within a parametric framework. It then advances to more sophisticated models, providing step-by-step instructions for implementing Wang’s (2003) flexible stochastic frontier model, which allows for more nuanced assumptions. Recognizing the importance of locational effects, the chapter further demonstrates how to program a spatial SFA Model, integrating spatial dependencies directly into the efficiency analysis. To ensure robust and reliable results, a dedicated section addresses the crucial final stage of development: code debugging and error diagnosis. This practical focus equips researchers with systematic strategies for troubleshooting their SFA programs, enabling them to confidently implement and validate both standard and advanced frontier models for empirical research.