Stephen Spalding, Kavitha Srinivasan
How do you make one of the world's largest federated graphs accessible to token-constrained LLM minions? With hundreds of teams contributing to or consuming GraphQL APIs at Netflix, good tools are critical. Today, our GraphQL platform supports engineers across the entire dev lifecycle. However, the nature of developer tooling is rapidly changing. It’s no longer enough to have a pretty UI if LLMs can’t access it—”agent-friendly” is now table stakes. In this talk, we'll discuss how our tools have adapted to expose agent-friendly interfaces, allowing agents to seamlessly interact with and utilize them for exploring the graph, building queries, designing schemas, and more. Finally, how can we leverage the power of AI within the tools themselves? We’ll discuss techniques for superpowering GraphQL tooling via focussed agents with guardrails and feedback loops, increasing accuracy and trust.
Netflix, Engineer
Stephen is a member of the Edge API team at Netflix and a member of the GraphQL TSC. His team develops and operates the Netflix API platform. This is the nexus point where hundreds of microservices are aggregated into a single API that delivers the Netflix experience for the hundreds of millions of Netflix devices worldwide.
Netflix Inc., Staff Software Engineer
Kavitha Srinivasan is a member of the GraphQL platform team at Netflix that operates one of the largest federated graphs and provides developer tools. She has also been a core contributor and maintainer of the Domain Graph Services framework, an open source framework for building Spring Boot based GraphQL services. She is passionate about great developer experience and has been involved in driving the education and adoption of federated GraphQL at Netflix.
Join two transformative days of expert insights and innovation to shape the next decade of APIs!