Devnexus 2027

Agentic Coding, Intentional Design

Jeremy Davis

Jeremy is a Principal Architect at Docker. He helps Docker's customers to design and deliver applications, works with engineers to create great products, and occasionally speaks at conferences. Before joining Docker he did more or less the same thing at Red Hat. Before that he wrote a lot of code in C, C#, Groovy, Java, JavaScript, Objective-C, Perl, PHP, Python, Ruby, Visual Basic; mostly Java. He recently acquired a Marshall amp after relying on Fenders for years.

Autopilot: Building the Ultimate Ops Engineer with JFR and AI

Billy Korando

Billy is a Java Developer Advocate with the Java Platform Group at Oracle. With over a decade of experience in Java, Billy brings a passion for helping developers find ways to reduce tedious work, such as project initiation, deployment, testing, and validation, through automation and adopting the latest features and tools in the Java ecosystem. Outside of work, Billy enjoys traveling, playing kickball, and cheering on the Kansas City Chiefs. Billy also co-organizes the Kansas City Java users group.

Beyond LLMs: Hybrid AI Patterns for Real Applications

Eyal Wirsansky

Eyal Wirsansky is a Staff AI Engineer and veteran software developer currently focused on designing agentic AI solutions for the healthcare industry. Beyond his industry work, he serves as an adjunct professor of AI at Jacksonville University and leads both the Jacksonville Java User Group and the AI for Enterprise Virtual User Group. He is also the author of "Hands-On Genetic Algorithms with Python".

Context and Similarity - Food for Thought

Frank Greco

Frank is a senior technology consultant and enterprise architect working on cloud and AI/ML tools for developers. He is a Java Champion, Chairman of the NYJavaSIG (first JUG ever), and runs the International Machine Learning for the Enterprise conference in Europe. Co-author of JSR 381 Visual Recognition for Java API standard and strong advocate for Java and Machine Learning. Member of the NullPointers. #STEAMnotSTEM

Durable, composable and scalable agents with Spring AI 3.0

Soby Chacko

Soby Chacko is a core committer to Spring AI and the technical lead for Spring for Apache Kafka, as part of the Spring engineering team at Broadcom. He also contributes to related open source efforts within Spring engineering, particularly where AI and messaging intersect. He is passionate about addressing the complexities of event-driven and distributed systems, and he is committed to helping Java developers bring AI capabilities into those systems through familiar Spring programming models. In his current role, Soby is responsible for building new feature capabilities in Spring AI and Spring for Apache Kafka, as well as fostering the...

Dan Vega

Dan Vega is a Spring Developer Advocate at VMware Tanzu. He has been developing software for the web for over 20 years and his superpower is problem-solving. Dan is a blogger, YouTuber, course creator, and speaker. He is a lifelong learner and his passion is sharing his knowledge with the developer community. Dan lives near Cleveland Ohio with his beautiful wife and 2 daughters. When he isn’t writing code or teaching he enjoys spending time with his family, lifting weights, running, or reading a good book.

Engineering Patterns for Building AI-native applications

Snigdha Tadanki

Snigdha Tadanki is a Senior Software Engineer at Microsoft with 10+ years of experience building enterprise software, CRM platforms, distributed systems, and customer-service technologies. Her current focus is agentic AI, including reliable workflows, orchestration, observability, recovery, and secure production deployment.

Fix Production Rollouts on the Fly with Agentic AIOps

Kevin Dubois

Kevin Dubois is often featured as a (keynote) speaker at conferences worldwide, where he shares his passion and knowledge about developer experience, AI, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software architect and platform engineer. Kevin currently works as a Senior Principal Developer Advocate at IBM, and is also Technical Lead for the CNCF Developer Experience Technical Advisory Group and Agentic AI Foundation Ambassador.

How to Build Auditable Memory Using Context Graphs

Nyah Macklin

Nyah Macklin is a seasoned researcher and speaker on topics around AI, ML, Ethics, Governance, and Responsibility. Nyah serves as a Senior Developer Advocate for Artificial Intelligence at Neo4j, specializing in context engineering, knowledge graphs, and AI-driven developer tooling where Nyah has built high-impact technical communities and led initiatives that advance a critical understanding of AI and its use cases. They are also the Founder & CTO of Afros in AI, a technical community dedicated to showcasing the multifaceted nature of artificial intelligence. Beyond Nyah's technical expertise, Nyah has a background in government leadership and technology policy, having served as...

MCP Killed the Handshake: What Stateless Really Means for Agents

David Parry

David Parry is a Principal Architect with 25+ years building enterprise systems, cloud platforms, and AI integrations. Starting in 1996, he has focused on scalable, mission-critical solutions, from government-grade communication systems to guiding Fortune 500 companies into the autonomous agentic era. His work emphasizes deterministic guardrails, governed agent orchestration, and production-ready architectures that ensure reliability, security, and measurable outcomes in AI systems.

Microservices in the GenAI Era

Chris Richardson

Chris Richardson is a developer and architect. He is the author of POJOs in Action and the founder of the original CloudFoundry.com, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices and speaks regularly at international conferences. Chris is the creator of Microservices.io, a pattern language for microservices, and is the author of the book Microservices Patterns. He provides microservices consulting and training to organizations that are adopting the microservice architecture and is working on his Eventuate, an open-source microservices collaboration platform.

OK, But What About Predictive AI?

Brayan Muñoz V.

Brayan Muñoz V., an Oracle Ace Associate, is a Java SDE, Data Scientist, and Professor with an MSc in Data Science (UCJC) and a Telematics Engineer degree (PUCMM). He brings six years of software development experience, which includes three years in AI and data science projects, in monolithic and microservices architectures. He currently serves as a Professor and thesis advisor at PUCMM's School of Computing and Telecommunications. Brayan is a Board Member of the Dominican Republic Java User Group (@JavaDominicano) and a winner of the JCP Program Awards Java in Education category with the group, frequently speaking on Java and...

José R. Almonte C.

José R. Almonte C. is a Telematics & Software Engineer and Data Science graduate with four years of experience building solutions in FinTech and E-learning platforms. His work is driven by responsibility, teamwork, and continuous learning, and he is passionate about advancing in Software Engineering, AI/ML, Data Science, Sports Analytics, and Finance. Outside of work, he enjoys traveling and exploring new cultures, following the NBA, MLB, NFL, and European soccer, playing padel, experimenting with new recipes, reading, and practicing piano.

Reinventing Testing Practices in the AI Era

Eric Deandrea

Eric Deandrea is a Java Champion & Senior Principal Software Engineer at IBM on the Quarkus engineering team. Eric has over 26 years of experience designing and building Java-based solutions and developer training programs. He is a contributor to various OSS projects, including Quarkus, Spring, LangChain4j, Docling, WireMock, and Microcks, as well as a speaker at many public events and user groups around the world. Eric recently put his Quarkus and Spring knowledge to use by publishing his first book, “Quarkus for Spring Developers (https://red.ht/quarkus-spring-devs).” Outside of work, Eric enjoys boating on the lakes of New Hampshire, ice hockey, and...

Anna Chernyshova

Solutions Engineer focused on cloud-native architecture and developer experience. Passionate about developer productivity, fast feedback loops, and keeping the software supply chain secure as agent-driven workflows reshape how we build and ship software. Former Customer Success Engineer for Testcontainers Cloud and Quality Architect. Open-source contributor and conference speaker with a bias toward practical demos and real-world engineering problems.

Restoring Lost Work in Git: A Forbidden Love Story

Abbey Perini

Abbey Perini is many things - a metro Atlanta native, person of many hobbies, full-stack web developer, accessibility advocate, international speaker, and technical writer with ✨over 500,000 views.✨ She's full-stack in the truest sense - give her a problem and she'll figure it out. She's happiest problem solving in the front-end, back-end, and all the APIs and microservices in between. Passionate about accessibility, she's worked in Vue, React, and even AngularJS (2013). She's spent her development career rectifying tech debt in existing codebases.

RoboCoders Judgement Day: From Side Projects to Software Factories

Viktor Gamov

Viktor Gamov is a Principal Developer Advocate at Confluent, an IBM Company, founded by the original creators of Apache Kafka®. With a rich background in implementing and advocating for distributed systems and cloud-native architectures, Viktor excels in open-source technologies. He is passionate about helping architects, developers, and operators build systems that are low-latency, scalable, and highly available. As a Java Champion and an esteemed speaker, Viktor is known for his insightful presentations at top industry events like JavaOne, Devoxx, Kafka Summit, and QCon. His expertise spans distributed systems, real-time data streaming, JVM, and DevOps. Viktor has co-authored "Enterprise Web Development"...

Baruch Sadogursky

Baruch Sadogursky (@jbaruch) did Java before it had generics, DevOps before there was Docker, and DevRel before it had a name. He built DevRel at JFrog from a ten-person company through an IPO, co-authored "Liquid Software" and "DevOps Tools for Java Developers," and is a Java Champion, a Microsoft MVP for AI, and a CNCF Ambassador alum. Today he's head of DevRel at Port, working on the agentic SDLC, and a self-certified Level 3 AI Context Sommelier. In addition to sharing knowledge with AI agents, Baruch also shares knowledge with developers through blog posts, meetups, and conferences such as DevNexus,...

Slopless in Atlanta: Six Steps to Agent Pull Requests That Maintainers Actually Merge

Corey Gallon

Corey Gallon is Managing Director of Rexmore, an AI-native holding company building, buying and transforming businesses with AI. He is an AI engineer who ships real, maintainable software with coding agents: 87.3 billion tokens through agents so far this year (~2.4 billion weekly). Previously he was: - Chief Innovation Officer of PwC's Commercial Technology business - Adjunct Professor of Graduate AI and Machine Learning at Loyola University Chicago - An AI coding agents OG: a primary contributor to, and maintainer of, GPT-Engineer, the open-source coding agents project that became Lovable He is an artisan roaster and brewer of specialty coffee...

Spend Your Tokens Where They Matter: Development with a Token Budget

Erin Schnabel

Erin Schnabel (@ebullientworks) is Council Chairperson of the Commonhaus Foundation and a Java Champion. She's a Senior Technical Staff Member at IBM and Distinguished Engineer at Red Hat, with 25+ years as a developer, architect, and technical leader. She prefers being hands-on with code and learns by building interesting (and often ridiculous) things, like "Monster Combat" (https://github.com/ebullient/monster-combat), an application that made monsters fight each other to explore application metrics, or "Pockets" (https://github.com/ebullient/pockets-cli), a command-line app that used JPA and Camel for RPG inventory management.

The Demo Worked. Then Reality Happened: Building AI Inference for the Real World

Paul Power

Paul is a software engineer based in Waterford, Ireland. He is currently working on the Q-Fence EU Horizon project, and emerging technologies with OCTO at Red Hat.

The UX of AI: Making AI-Powered Apps Your Users Don't Hate

Kathryn Grayson Nanz

In 2013, I graduated with a BFA and took my first job as a Junior Graphic Designer at a small, boutique ad agency. While there, my Creative Director warned me to never let anyone find out I could code, because if I did I'd be stuck doing it forever. I ignored his warning; it turns out he was completely right, but I've never been happier. I currently work as a developer advocate on a wonderful team where I help people build web applications in React, design and maintain their UI component libraries, and desperately attempt to stop back-end devs from...

Think Fast: OnDevice AI and Vector Features

Gant Laborde

Gant Laborde is a New Orleans native, born and raised. He grew up with hurricanes (not the drink), rich New Orleans culture, and as a free tour guide for all his out-of-state friends. Over the years he’s seen his city experience corruption, flooding, heartbreak, and most importantly, revived-determination. “New Orleans doesn’t know how to quit,” Gant says, “that’s why I love it.” Gant firmly believes conflict abets passion, a fire always moves fastest uphill. As CIO for the popular company Infinite Red, Gant works remotely from his home and uses his self-managed autonomy to explore a variety of leadership arts....

What’s that? How an Agent & Context Graph analyzed a message stream

Martin O'Hanlon

Martin is an experienced computer science educator and open source software developer. Martin creates educational content for Neo4j and supports developers in using graph technology to understand their data. As a child he wanted to be either a Computer Scientist, Astronaut or Snowboard Instructor.

You May Now Optimize The Wedding! An intro to Planning AI

Tom Cools

Developer Relations Engineer for Timefold, Java Champion and leader of the Belgian Java User Group. Tom has a decade worth of experience delivering systems and loves to share not only knowledge but also passion for our craft. You can read more at his blog (http://www.tomcools.be) or follow him on Bluesky (@tomcools.be).

Your Agents Don't Need More Context. They Need True Context — and You Can't Buy It

Martin Rojas

Martin Rojas leads AI Acceleration at PlayOn Sports, transforming how the 400+ person organization adopts AI. He moves teams from experimentation to production—building literacy and infrastructure to ship reliable AI features at scale. As AI Acceleration Lead, Martin drives strategy and hands-on implementation: computer vision for automated sports broadcasting, LLM systems, and workflow automation that reduces real toil. He runs AI office hours, designs workshops, and cultivates AI champions across departments while establishing governance that enables speed without liability. Martin speaks at DevNexus, Google DevFest, and ATL Dev Con on practical GenAI and prompt engineering as a discipline. He organizes...

Building ai-native applications

Production ai engineering

Frontier ai & emerging technoglogy

Ai-assisted software development

Ai and llm fundamentals

Ai developer tools