LEARNING
Content at Devoxx UK is grouped into 8 core tracks, focussing on the information, tools and practices that will help you to work efficiently, make great decisions and produce high-quality software.
More sessions to be announced over the coming weeks.

Core engineering skills and proven techniques for building reliable, secure, and high-performing software.
Explore secure-by-design development, performance testing, benchmarking, modernization, AI guardrails, and defensive coding. This track delivers the tools and disciplines needed to produce maintainable, high-quality software with clarity.

Step into modern Java for 2026: microsecond-latency techniques, structured concurrency, virtual threads, GraalVM-native Spring apps, Rust interop via Project Panama, and AI inference with JDK 25. Focused on tools, practical patterns, live demos, and surprising tricks, this track shows how Java can be faster, smarter, and more expressive than ever.

Design resilient, scalable, and adaptable systems for the modern landscape. Balance complexity, team dynamics, and business needs while applying practical patterns, event-driven and agent architectures, and unified memory strategies. This track focuses on better decisions, clear communication, and building systems that endure—without losing sight of the people who operate them.

Deploy faster and operate smarter while staying confident and in control. Explore resilience, observability, and security alongside pipelines, feature flags, agentic workflows, and DevOps patterns. Gain actionable lessons and strategies to accelerate delivery, improve feedback, and experiment boldly with practical engineering approaches that work in the real world.

Explore the human side of great software: how we hire, learn, collaborate, and grow in an AI-accelerated world. Can we protect deep thinking and mentorship so AI amplifies rather than replaces human connection? This track covers healthy team dynamics, brave leadership, and building more sustainable careers in modern tech.

Dive into modern data and AI workflows with practical, real-world insights. From benchmarking and fine-tuning LLMs, agent interoperability, and sustainable AI, to declarative pipelines, semantic search at scale, and unhackable databases—this track shows you how to build, optimize, and secure data-driven systems that perform reliably under pressure.

Which language fits your next project? How do concurrency models, performance tricks, and modern language features shape the way you write and scale software? This track answers those questions with live demos, practical patterns, and insights across multiple languages—helping you weigh pros & cons when making smart language choices.

What happens when curiosity runs wild? Mind the Geek takes you to the bleeding edge: AI, robotics, quantum hacks, and open-source wizardry. From analyzing canoe technique with AI to 3D world-building on your GPU, quantum readiness, and robots that learn as they walk—expect demos, tricks, and inspiration for anyone who loves geeky fun.

















