Invisible Machines podcast by UX Magazine Confronting Complexity with GraphQL ft Matt DeBergalis CEO/Co-founder, Apollo GraphQL | S6E8
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
Here is recent news Apollo announced at Summit last week :https://www.apollographql.com/newsroom/press-releases/apollo-expands-platform-to-power-the-agentic-future-at-graphql-summit-2025
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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