As AI-assisted software development accelerates the speed at which teams generate code, documentation has become a critical source of engineering context. This video explains how clear technical documentation helps both engineers and AI tools understand system architecture, business rules, product requirements, and the reasoning behind previous decisions. Strong software documentation can reduce ambiguity, limit rework, improve onboarding, and produce more reliable AI-generated results. For engineering leaders introducing AI into the software development lifecycle, maintaining accurate and accessible documentation is no longer an administrative task. It is part of the infrastructure required to scale AI productivity while protecting software quality and human accountability.