The concept of "docs-as-code" revolutionizes traditional documentation workflows by integrating documentation into the same Git-based processes used for source code, ensuring that documentation is always current and aligned with development changes. This approach addresses the historical challenges of documentation residing in separate, less efficient systems, which often led to outdated and inconsistent documentation. By employing version control, pull requests, automated testing, and continuous deployment, docs-as-code allows documentation to be reviewed, versioned, and deployed alongside code, thus maintaining synchronization with the application lifecycle. Modern tools like Fern enhance this process by not only storing documentation in Git but also generating interactive documentation sites from API specifications and offering features such as visual editors and machine-readable formats. This integration facilitates contributions from non-developers and automates updates, reducing manual intervention and ensuring that documentation remains accurate and easily accessible. As AI and automation continue to evolve, they promise to further streamline documentation processes through auto-suggestion workflows and natural language interfaces, making documentation less burdensome and more collaborative.