The discussion centers around the use of SAS (Statistical Analysis System) for statistical analysis, particularly in the context of bio sciences and finance. Users express frustration with SAS's outdated interface and limited editing capabilities, especially when using it on Linux. They share experiences with alternative text editors like vim, Gedit, and Geany to enhance coding efficiency, noting features like color-coding and regex support. There is a consensus that SAS's macro language is complex and unintuitive, stemming from its origins in the 1970s, which contributes to its perception as old-fashioned. Participants also discuss workarounds for submitting code from external editors to SAS, highlighting the challenges posed by the software's design and environment limitations. Overall, the conversation reflects a blend of practical tips and shared grievances about SAS's usability in modern data analysis workflows.