From Spring Framework to Spring AI: 13 Years of Building What Developers Need - Sébastien Deleuze | The Marco Show

Sébastien Deleuze, a longtime Spring Framework committer and member of the Spring AI team, joins Marco to talk about how 13 years on the Spring team shaped his pragmatic approach to software development. The conversation covers how Spring AI fits into the Spring ecosystem, why enterprise AI still needs deterministic workflows and human accountability, and why long-term software quality matters even as GenAI changes how code gets written.

💡 In this episode:

• How Sébastien joined the Spring team through open source contributions

• Why he only introduces features he once wished Spring had as a developer

• How Spring AI brings AI services into the familiar Spring programming model

• Why AI helps with speed, but not with the most important decisions

• Why accountability and sustainable engineering still matter in the age of GenAI

Timestamps:

(00:00) Teaser

(00:32) Introduction

(00:54) Sébastien Deleuze’s 13 years on the Spring team

(01:22) How an open-source contribution led to joining Spring

(03:08) Working on a fully remote team

(03:54) Building the Spring features he wished he had as a developer

(05:22) Why Kotlin was the right fit for Spring

(06:35) How the Spring team discovers what developers need

(08:23) Learning from competing frameworks without copying them

(11:06) What is Spring AI?

(13:27) Bringing AI into enterprise applications

(14:53) AI-generated pull requests and the accountability problem

(16:36) How open-source maintainers deal with low-quality AI contributions

(18:27) Keeping up with the speed of change in AI

(20:43) Using AI tools for most coding tasks

(21:21) Writing better prompts by providing the right context

(24:05) Running multiple AI agents and managing context switching

(24:53) Can an AI agent fix a complex Spring issue?

(25:38) Why detailed issues and commit messages matter more in the AI era

(27:22) What’s next for Spring AI 2.0 and 2.1

(29:44) Spring AI’s relationship with Embabel and the wider ecosystem

(30:56) Why Spring AI is reducing its scope

(32:05) The most important engineering skill AI cannot replace

(33:29) Using AI outside of work

(38:10) Giveaway

(39:04) Rapid-fire questions

(40:13) Outro

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🎥 Watch the full episode on YouTube: https://www.youtube.com/watch?v=mCOGZGV48hU