AI's Impact on Software Documentation - Rewriting the Developer Education Playbook

Overview

Explore a comprehensive podcast episode featuring Dave Nunez, Partner of Abstract Group, discussing the evolving landscape of software documentation in the era of AI. Delve into the challenges and opportunities presented by artificial intelligence in creating effective developer education materials. Learn about the core goals of excellent software documentation, including creating high-quality content, utilizing different content types, and improving discoverability. Gain insights into Stripe's writing culture, the importance of user research in documentation, and strategies for measuring documentation effectiveness with OKRs. Discover techniques for improving documentation through analytics, optimizing search functionality, and focusing on Time to First Action. Benefit from Dave's extensive experience in leading developer documentation efforts at major tech companies and his insights on internal documentation and the future of technical writing in the AI age.

Syllabus

[] Dave's preferred coffee
[] Introducing this episode's co-host, Kuba
[] Takeaways
[] Please like, share, leave a review, and subscribe to our MLOps channels!
[] Good docs, bad docs, and how to feel them
[] Inviting Dev docs and checks
[] Stripe's writing culture
[] Engineering team writing culture
[] Bottom-up tech writer change
[] Strip docs cult following
[] TriDocs Smart API Injection
[] User research for documentation
[] Design cues
[] Empathy-driven docs creation
[34:28 - ] Zilliz Ad
[] Foundational elements in documentation
[] Minimal infrastructure of information in "Read Me"
[] Measuring documentation with OKRs
[] Improve pages with Analytics
[] Google branded doc searches
[] Time to First Action
[] Dave's day in and day out and what excites him
[] Exciting internal documentation
[] Wrap up