Idan Englander, Manager of Technical Writing at Anaconda, details his experience transitioning from a solo writer to leading a scalable documentation team by implementing prioritization strategies, style guides, and formal New Product Introduction (NPI) processes. He highlights the role of AI in streamlining repetitive tasks like metadata tagging and content auditing, asserting that while AI enhances efficiency, human oversight is essential for maintaining quality and accuracy. Englander emphasizes that technical writing processes must be integrated into the product development lifecycle to ensure documentation is not an afterthought but a crucial component of product delivery. Anaconda leverages a docs-as-code approach, using tools like Jira, VS Code, and Mintlify to manage content effectively, with preview deployments facilitating rapid feedback. Despite challenges such as timing and the need to balance involvement in engineering standups, Anaconda's commitment to embedding documentation early in the development process has led to higher-quality outputs and better user experiences.