While ChatGPT can significantly assist in documenting legacy systems, full automation remains challenging
. It can effectively analyze and summarize code written in relatively modern or common languages, identifying functions, variables, and potential logic flows to generate initial documentation drafts
. However, difficulties arise with truly obscure or proprietary legacy languages, highly complex interdependencies, and the absence of clear, modern coding conventions that ChatGPT relies on. Human expertise is indispensable
for interpreting undocumented business rules, validating generated content, and understanding the deep architectural nuances specific to these long-standing systems. Therefore, ChatGPT is best utilized as a powerful documentation aid
, accelerating the process of understanding code snippets and creating foundational content, but requiring substantial human oversight and input to achieve comprehensive and accurate legacy system documentation. More details: https://dondog.lezhin.com/recommendations/picks/5068847935782912?sourceId=6551967191793664&method=0&url=https://abcname.com.ua/