Confronting Complexity with GraphQL

As the CEO and Co-founder of Apollo GraphQL, Matt DeBergalis has a lot to say about the ways that organizations can confront their inherent complexity and build reliable systems for AI to flourish. He joins Robb and Josh to talk about how GraphQL has made it easier for developers to build meaningful, AI-powered solutions.

As an open-source language for APIs, GraphQL makes data fetching more precise and flexible. When utilized within an agent runtime environment, GraphQL gives organizations the ability to build their own tools. As Matt explains, this gives orgs an enormous edge with agentic AI, and helping teams move light on their feet, experiment, and adjust quickly.

The trio also reminisces about the early days of the internet and agrees that ChatGPT was the mother of all demos.

———- Support our show by supporting our sponsors!

This episode is supported by OneReach.ai – creators of GSX, the first complete AI Agent Runtime Environment (V1 circa 2019).

Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom.

• Use any AI models
• Build and deploy intelligent agents fast
• Create guardrails for organizational alignment
• Enterprise-grade security and governance
• Avoid vendor lock-in

Backed by UC Berkeley and recognized by Gartner.
Before you build or buy another AI solution, think about getting an AI system.

Interested in implementing an Agent Platform for your organization? Book a Demo