Sponsored Keynote: GraphQL, BFFs and AI
summary
Argues that GraphQL should be built declarative GraphQL like databases so tooling handles resolvers, federation and BFFs uniformly; describes StepZen’s acquisition and rebrand into IBM API Connect Essentials and claims the same optimizations survive at scale. Shows a prototype LLM-to-GraphQL flow that generates operations from natural language and presents an AI middleware (flows engine) that converts any API or data source into tools/agents, exposes them as GraphQL APIs plus an SDK, and integrates with vector DBs, RAG, and model calls for end-to-end AI apps.
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chapters (6)
- 0:00Introduction and setup
- 1:06GraphQL and database parallels
- 3:16Declarative GraphQL approach
- 5:45AI applications with GraphQL
- 9:17AI middleware with GraphQL
- 10:40Developer-centric AI tools
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