Ryan Booth

Ryan Booth, an expert in AI-assisted software development, joins Phillip Gervasi to discuss the innovative concept of vibe coding. They explore how this approach allows developers to engage in a fluid, conversational style of code creation with AI tools. The discussion includes the challenges of debugging, maintaining control, and navigating technical debt while leveraging AI. Booth emphasizes experimenting with different tools and learning through trial and error, highlighting the evolving dynamics between engineering and AI in shaping the future of software development.

In this engaging discussion, Ryan Booth, an expert in network automation with experience at Juniper and Abstra, shares his journey from network engineering to AI. He highlights the importance of community and persistence in success and his exploration of AI tools. Ryan delves into practical AI applications for network engineers, discussing retrieval-augmented generation and the importance of domain knowledge over just model building. He offers valuable insights on automating workflows and bridging gaps between network and software teams.

Ryan Booth, Engineering Manager at Juniper, specializes in AI and ML solutions. He shares a fascinating experience of building applications using AI tools without direct coding. Key topics include managing AI contexts and token limits, effective testing strategies, and the balance between frontend and backend development. Booth emphasizes breaking down projects into manageable tasks and using tools like Claude 3.5 Sonnet and Git for version control. His insights reveal how AI can revolutionize coding efficiency and network automation practices.