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תוכן מסופק על ידי Invisible Machines. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Invisible Machines או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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Confronting Complexity with GraphQL ft Matt Debergalis CEO/Co-founder, Apollo GraphQL | S6E8

52:39
 
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Manage episode 516939567 series 167672
תוכן מסופק על ידי Invisible Machines. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Invisible Machines או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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

---------- 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.

Book a Demo:

https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1

--------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:

Amazon — https://bit.ly/4hwX0a5

#invisiblemachines

#podcast

#techpodcast

#aipodcast

#ai

#agenticai

#digitaltransformation

#graphql

#opensource

#softwareengineering

#techinnovation

#digitaltransformation

#futureofai

#emergingtech

#developertools

#techtalk

#MCP

#ApolloGraphQL

  continue reading

104 פרקים

Artwork
iconשתפו
 
Manage episode 516939567 series 167672
תוכן מסופק על ידי Invisible Machines. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Invisible Machines או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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

---------- 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.

Book a Demo:

https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1

--------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:

Amazon — https://bit.ly/4hwX0a5

#invisiblemachines

#podcast

#techpodcast

#aipodcast

#ai

#agenticai

#digitaltransformation

#graphql

#opensource

#softwareengineering

#techinnovation

#digitaltransformation

#futureofai

#emergingtech

#developertools

#techtalk

#MCP

#ApolloGraphQL

  continue reading

104 פרקים

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