What is Devnexus?
Devnexus is the largest and longest-running Java ecosystem conference in the U.S. and a leading global tech event. Founded by the Atlanta Java Users Group in 2004, it draws 1500+ developers for two or three days of hands-on workshops, expert-led sessions, in-person mentoring by Java Champions and speakers, and live demos. With 10 tracks and 100+ sessions, Devnexus offers deep dives into the latest technologies and a chance to connect with top technologists and fellow developers.
Featuring Speakers From
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Tracks
Frontier AI & Emerging Technology ai
The Frontier AI & Emerging Technology track looks ahead at the ideas and capabilities that could shape the next generation of software. Sessions explore emerging model architectures, reasoning systems, on-device AI, robotics, and new forms of human-computer interaction. Designed for developers and technical leaders, this track examines what is becoming possible, what remains experimental, and which developments deserve closer attention.
AI-Assisted Software Development ai
The AI-Assisted Software Development track explores how developers use AI throughout the software development lifecycle. Sessions cover coding assistants, agentic development workflows, testing, debugging, code review, and documentation. Designed for practitioners, this track focuses on getting useful results from AI tools, evaluating their output, and maintaining code quality while keeping developers in control of the software they deliver.
Building AI Applications & Agents ai
The Building AI Applications & Agents track focuses on creating software that puts AI to work. Sessions explore model integration, retrieval-augmented generation, context engineering, multimodal applications, and agents that interact with tools, data, and other systems. Developers and architects will learn practical patterns for moving from an initial idea to working applications that solve real problems.
Production AI Engineering ai
The Production AI Engineering track examines what it takes to operate AI applications and agents reliably at scale. Sessions cover evaluation, observability, deployment, model and prompt lifecycle management, data pipelines, and inference optimization. Designed for engineers responsible for production systems, this track explores how to manage quality, latency, cost, and changing model behavior long after the first successful demo.
Java java
TThe Java track brings together the language, platform, and frameworks that power the Java ecosystem. Sessions cover modern language features, JVM performance, concurrency, and application development with Spring, Jakarta EE, Quarkus, and beyond. Whether you’re modernizing an existing application or building something new, this track offers practical insights for writing efficient, reliable, and maintainable Java software.
System Design practices
The System Design track explores the architecture of modern software systems. Sessions cover distributed systems, event-driven design, microservices, cloud-native architectures, and the integration of AI capabilities into existing platforms. Designed for developers and architects, this track examines the practical trade-offs behind building systems that balance scalability, resilience, performance, and maintainability.
Production Engineering & SRE practices
The Production Engineering & SRE track explores the practices and platforms that keep modern applications running reliably. Sessions cover DevOps, continuous delivery, infrastructure as code, containers, observability, incident response, and site reliability engineering. Designed for developers, platform engineers, and operations teams, this track focuses on improving delivery, reducing operational toil, and building resilient production environments.
Security practices
The Security track focuses on protecting applications, data, and infrastructure as software systems and AI capabilities evolve. Sessions cover secure coding, threat modeling, software supply chain security, identity and access management, and threats specific to AI applications and agents. Developers and architects will gain practical approaches to identifying vulnerabilities, reducing risk, and building security into the systems they design and operate.
Soft Skills in an AI Era practices
The Soft Skills in an AI Era track focuses on the human capabilities that matter as AI changes how we work. Sessions explore communication, collaboration, critical thinking, adaptability, mentorship, and career development. Designed for technology professionals at every level, this track offers practical ways to build trust, navigate uncertainty, and strengthen the relationships and judgment that support effective teams.
Developer Tools practices
The Tech Leadership track is designed for engineering managers, technical leads, and decision-makers guiding teams through a changing technology landscape. Sessions explore engineering strategy, team development, AI adoption, developer productivity, and organizational change. Learn how experienced leaders evaluate new approaches, build effective engineering cultures, and connect technical decisions to meaningful business outcomes.
Tech Leadership practices
The Tech Leadership track is designed for engineering managers, technical leads, and decision-makers guiding teams through a changing technology landscape. Sessions explore engineering strategy, team development, AI adoption, developer productivity, and organizational change. Learn how experienced leaders evaluate new approaches, build effective engineering cultures, and connect technical decisions to meaningful business outcomes.
Latest News
In the Age of AI, the Hallway Track Matters More Than Ever
September 14, 2026
A few years ago, I wrote about what makes a great conference experience. My answer was the people. After years of attending conferences as an attendee, speaker, sponsor, and organizer,...
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You Don’t Have to Figure Out AI Development Alone
August 18, 2026
In August 2025, at a conference, a fellow developer and I were talking about the different ways we were using AI as a coding tool. I told him I’d played...
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Devnexus 2027 preview
July 22, 2026
Devnexus 2027: Helping Developers Navigate the New Age of AI
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The creator of the Spring Framework, Rod Johnson Keynotes at Devnexus
February 11, 2026
Write your content The creator of the Spring Framework, Rod Johnson, will deliver a keynote and a session at Devnexus 2026 and the AI Leader Summit!
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Jakarta EE: Connected Industries with an Edge with Petr Aubrecht
November 02, 2025
In modern manufacturing, where Digital Twins and smart robotics power entire production lines, one architectural challenge stands above all others: how to connect thousands of real-time machines to the cloud—safely,...
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Mastering Logging in Java with Jeanne Boyarsky and Victor Grazi
October 30, 2025
In their Devnexus session, “Mastering Logging in Java,” authors and Java experts Jeanne Boyarsky and Victor Grazi tackled one of the most underappreciated yet mission-critical aspects of modern software development:...
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Duke on CRaC with Jakarta EE with Rustam Mehmandarov and Ivar Grimstad
October 29, 2025
For Java developers, slow startup times have long been the Achilles’ heel of deploying microservices in the cloud. In serverless and containerized environments, those extra seconds between cold start and...
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