AI

Session AI

Enchant Your AI and APIs with eBPF Magic 🪄

Monday Mar 16 / 03:55PM GMT

It is a common occurrence to see applications thrown over the fence, landing somewhere in production without a second thought about their lifecycle or how they may need maintaining in the future to connect to more efficient API endpoints.

Speaker image - Dan Finneran

Dan Finneran

Principal Community Advocate at Isovalent @Cisco

Session AI

From Copilots to Orchestrators: A 12 Week Playbook for Training Engineering Teams Using AI

Tuesday Mar 17 / 05:05PM GMT

Most engineering teams are stuck treating AI as autocomplete. Engineers have GitHub Copilot installed (or Claude or Cursor or whatever), they're generating snippets faster, but leaders can't connect usage to business outcomes—and developers are shipping code they don't fully understand.

Speaker image - Krys Flores

Krys Flores

Staff Software Engineer @Crunchyroll, Previously @Carta, @Lob, @Simple Habit, and @Nordstromrack.com|HauteLook

Session AI

Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review

Wednesday Mar 18 / 02:45PM GMT

At Duolingo, we realized that successful AI adoption would require deliberate learning — not just access to tools. Over the past year, we scaled AI usage across 300+ engineers through intentional dogfooding programs, live training, office hours, and AI observability dashboards.

Speaker image - Sarah Deitke

Sarah Deitke

Software Engineer @Duolingo

Session AI

The Reinvention of the Dev Team

Wednesday Mar 18 / 01:35PM GMT

I don’t need to tell you that AI has changed software development forever. You know this. Whether you’re positive, negative or indifferent to this change, you can’t deny that the past 2 years have radically changed the role of the software developer.

Speaker image - Hannah Foxwell

Hannah Foxwell

Independent Consultant at the Intersection of Platform Engineering, Security, and AI, Founder of AI For the Rest of Us

Session AI

AI is an Amplifier: Scale High Performance, Not Dysfunction

Wednesday Mar 18 / 10:35AM GMT

AI adoption in software development is nearly universal, yet the outcomes for teams are highly variable. Why do some organizations see massive productivity gains while others see their delivery stability crash? DORA’s latest research provides a key insight: AI acts as an amplifier.

Speaker image - Nathen Harvey

Nathen Harvey

Lead of DORA and Product Manager @Google Cloud

Session Alpha Copilot

The Realities of Building an AI Native Fintech Startup

Monday Mar 16 / 02:45PM GMT

For fifty years, $400 trillion in professionally managed assets sat untouched by external technology. The most analytically demanding investment workflows required a combination of PhD-level quant finance and advanced engineering that no outside vendor could sustain commercially.

Speaker image - David Lin

David Lin

Founder and CEO @Linvest21, Previously CTO @JPMorgan

Session data platform engineering

Building an AI Ready Global Scale Data Platform

Wednesday Mar 18 / 01:35PM GMT

As organizations move from single-cloud setups to hybrid and multi-cloud strategies, they are under pressure to build data platforms that are both globally available and AI-ready.

Speaker image - George Peter Hantzaras

George Peter Hantzaras

Engineering Director, Core Platforms @MongoDB, Open Source Ambassador, Published Author

Session Platform Engineering

Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server

Monday Mar 16 / 03:55PM GMT

The past year has seen an absolute explosion in the use of AI and agents in particular, a trend that is guaranteed to accelerate going forward.

Speaker image - Felipe Huici

Felipe Huici

CEO and Co-Founder @Unikraft, Founder and Maintainer of the Linux Foundation Unikraft Open Source Project

Session AI

Tools That Enable the Next 1B Developers

Wednesday Mar 18 / 10:35AM GMT

The developer population is growing by orders of magnitude. The new AI tooling is turning domain experts and operators into builders. Unfortunately, the tools and the platforms they are building on weren't designed for them.

Speaker image - Ivan Zarea

Ivan Zarea

Director of Platform Engineering @Netlify

Session AI

Rewriting All of Spotify's Code Base, All the Time

Tuesday Mar 17 / 11:45AM GMT

We don't need LLMs to write new code. We need them to clean up the mess we already made.In mature organizations, we have to maintain and migrate the existing codebase. Engineers are constantly balancing new feature development with endless software upkeep.

Speaker image - Jo  Kelly-Fenton

Jo Kelly-Fenton

Engineer @Spotify

Speaker image - Aleksandar Mitic

Aleksandar Mitic

Software Engineer @Spotify