Eps 3 Fixing Engineering Documentation & Reporting with AI
In this episode, we discuss one of the biggest struggles in Agile and project management: documentation. Where is the single source of truth? And how do you view this challenge through the lens of AI?
Despite the rise of modern tools and frameworks, teams still wrestle with scattered information, outdated documents, and conflicting versions of critical project data.
We explore why documentation often takes a back seat in Agile environments and how this impacts alignment, productivity, and decision-making across cross-functional teams. Is it possible to stay truly "Agile" without compromising on documentation quality and consistency?
But here's where it gets exciting: we examine this issue through the lens of AI. How can artificial intelligence help address these long-standing documentation hurdles? From intelligent summarization and auto-tagging to contextual search and real-time knowledge syncing — we unpack how emerging AI tools are redefining how teams document, manage, and retrieve knowledge.