Ep88: Generative AI & Graph + Iterative AI Development

Jennifer shares updates on her upcoming AI First Java book, fall event prep, and spring 2027 conference abstracts. Key topics this episode:

• GraphAcademy makeover. Neo4j's learning platform now features browser-based code environments, auto-generated API keys, AI-assisted data modeling, and public datasets for self-paced learning.
• GraphRAG workshop. Jennifer recently delivered a virtual workshop on generative AI and GraphRAG using the updated GraphAcademy platform.
• Graph Summit NYC. Neo4j's flagship event featuring a brand-new hands-on workshop format where attendees build a working project.
• Upcoming events. Northeast JUG tour in late September (Raleigh, NC; Charlotte, NC; Richmond, VA) and a RAG benchmarking webinar in the works.
• "Building Software is Learning". Thorsten Ball's article on shortening the feedback loop between building and validating requirements, and why iterative development matters even more in the age of AI coding tools.
• Real-world example. Jennifer shares how writing her book's capstone project with Claude reinforced the need for upfront context, boundaries, and tight iteration when working with AI.

Thanks for listening, and happy coding!