---
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title: >-
  Platforms for Humans and Machines: Engineering for the Age of Agents — Juan
  Herreros Elorza
description: >-
  As AI coding agents become first-class users of internal developer platforms,
  the practices that make platforms accessible to humans turn out to be the same
  ones that enable AI to thrive. Self-service interfaces, well-defined APIs with
  schemas and documentation, local-first workflows, and rich observability have
  always been important elements of a good platform. Now they are prerequisites
  for agents that can autonomously build, debug, and ship software. This talk
  explores what it means to design platforms where both humans and AI can
  collaborate effectively. We'll cover: - How to expose your platform as a
  product with structured APIs (and perhaps MCPs) - Why prioritizing local
  tooling pays dividends when agents need to iterate on errors - How
  observability becomes the bridge between runtime behavior and AI understanding
  We'll also discuss the flip side: AI is making it easier than ever to
  *contribute* to platform code, but that comes with new responsibilities around
  quality gates, context files like CLAUDE.md, and maintainability. Walk away
  with concrete practices to ensure your platform is ready for a future where
  agents are not just tools, but users of it. Juan Herreros Elorza - Team Lead,
  Banking Circle I'm Juan, a Platform Engineering enthusiast. I am working for
  Banking Circle, as the Team Lead in our Cloud Native Technology team. When I'm
  not working, I'm most likely rehearsing or performing improv comedy. Socials:
  https://juanherreros.com/ https://linkedin.com/in/juan-herreros-elorza
  https://github.com/jherreros Slides:
  https://speakerdeck.com/jherreros/platforms-for-humans-and-machines-engineering-for-the-age-of-agents
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  https://liquidgold.cc/channel/aidotengineer/explore/video/platforms-for-humans-and-machines-engineering-for-t-4677da62aa9e
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# Platforms for Humans and Machines: Engineering for the Age of Agents — Juan Herreros Elorza

As AI coding agents become first-class users of internal developer platforms, the practices that make platforms accessible to humans turn out to be the same ones that enable AI to thrive. Self-service interfaces, well-defined APIs with schemas and documentation, local-first workflows, and rich observability have always been important elements of a good platform. Now they are prerequisites for agents that can autonomously build, debug, and ship software. This talk explores what it means to design platforms where both humans and AI can collaborate effectively. We'll cover: - How to expose your platform as a product with structured APIs (and perhaps MCPs) - Why prioritizing local tooling pays dividends when agents need to iterate on errors - How observability becomes the bridge between runtime behavior and AI understanding We'll also discuss the flip side: AI is making it easier than ever to \*contribute\* to platform code, but that comes with new responsibilities around quality gates, context files like CLAUDE.md, and maintainability. Walk away with concrete practices to ensure your platform is ready for a future where agents are not just tools, but users of it. Juan Herreros Elorza - Team Lead, Banking Circle I'm Juan, a Platform Engineering enthusiast. I am working for Banking Circle, as the Team Lead in our Cloud Native Technology team. When I'm not working, I'm most likely rehearsing or performing improv comedy. Socials: https://juanherreros.com/ https://linkedin.com/in/juan-herreros-elorza https://github.com/jherreros Slides: https://speakerdeck.com/jherreros/platforms-for-humans-and-machines-engineering-for-the-age-of-agents

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/platforms-for-humans-and-machines-engineering-for-t-4677da62aa9e · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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