The software industry has long depended on an informal system of knowledge transfer that passes expertise from one generation of developers to the next through direct conversation, code reviews, pair programming sessions, and casual explanations over coffee. This oral tradition forms the backbone of how complex systems stay maintainable and how new engineers learn the unwritten rules that documentation often fails to capture. Recent discussions on technology forums suggest this human-centered approach faces serious pressure from the rapid adoption of artificial intelligence tools that promise to answer questions instantly and generate code without the need for human intermediaries. A story posted on developers.slashdot.org highlights growing concern that the conversational fabric holding software teams together could fray as AI assumes more of the teaching role.…