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.

Looking for the Agent runtime episode - https://youtu.be/CddjTUWSaHA?si=86dSwjyE3uZGYY8F

Chapters -

00:00 - Intro and episode setup

02:10 - Unsung hero moment for GraphQL and agent energy

03:12 - GraphQL basics for APIs in an agent runtime

04:36 - Why GraphQL won - types, tooling, developer velocity

05:20 - API design UX - REST vs GraphQL for developers

06:54 - From developers to builders - laypeople using agents

07:00 - Will the term developer fade - future of dev work

12:28 - Edit over scratch - tools that elevate product taste

15:35 - Personalized small-batch software and 3D-print analogy

17:31 - Agent-personalized apps beyond siloed UIs

18:46 - GraphQL as business language - nouns, verbs, capabilities

29:04 - Deterministic rails vs non-deterministic models in finance

32:01 - Real guardrails with MCP to Agent to GraphQL

51:00 - Graph as backbone of agentic AI

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Confronting Complexity with GraphQL ft Matt Debergalis CEO/Co-founder, Apollo GraphQL | S6E8

Invisible Machines podcast by UX Magazine