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Presentation: Platform Engineering in the Age of AI

InfoQ36 min read

The panelists explain how platform teams adapt to support AI-assisted engineering, highlighting which capabilities belong in the platform. They discuss trade-offs between standardization and developer autonomy, while sharing strategies to manage AI tooling, security guardrails, and shifting workflows. By Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio

Renato Losio: In this session today, we're going to chat about platform engineering in the age of AI. In this roundtable we discuss how internal platforms are evolving, how AI is changing the next generation of platform engineering. My name is Renato Losio. I'm an editor at InfoQ. Today I'm joined by four experts coming from different areas, different backgrounds, different countries, that are going to give you their experience about platform engineering and how it's actually evolving. I'd like to allow each one of them to introduce themselves and share their journey in platform engineering. Davide de Paolis: I'm Davide de Paolis. I am an engineering manager at Shine now, formerly at sevDesk. I'm leading the platform engineering team, the infrastructure team on AWS, leading 10 people and serving 25 teams across all Europe. I started my career more than 20 years ago with the infamous Flash websites, and then evolved into other tech stack, languages. I landed on AWS more than 10 years ago, started with Lambda, serverless is still my favorite. Then basically grew into the role of technical lead and engineering manager, mostly for platform engineering team. I'm also an AWS Community Builder in my fifth…

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