Domain-Driven Transformation—Modularizing and Modernizing Legacy Software

Future of Engineering Stage — 45 minutes Future of Engineering Clean Architecture Legacy Software

Starting a new project from scratch with a clean slate is one thing; tackling legacy systems with chaotic architectures is another. Many teams inherit systems described as “Monoliths” or “Big Balls of Mud,” and this talk focuses on how to bring order to such challenges.
Participants will learn how to evaluate their current systems and identify steps to introduce—or restore—structure. Using Collaborative Modeling, attendees will gain actionable insights to design a clear and future-ready architecture. The talk will equip participants with practical strategies to address common challenges, such as BBOM architecture, anemic domain models, and disorganized teams. By the end of the session, attendees will have a catalog of proven refactorings, actionable heuristics, and concrete tools to immediately evolve their own projects. Read More...

• Henning Schwentner [Coding Storyteller — WPS]

Keynote powered by Microsoft

Future of Engineering Stage — 30 minutes

Partner keynote

Future of Engineering Stage — 30 minutes

Is the Specialist Dead? Being a software developer in the AI age

Future of Engineering Stage — 45 minutes Artificial Intelligence Future of Engineering Clean Architecture Software Development

My journey in tech began with a Commodore 64. From there, I followed the industry's gravity: moving to the PC, finding a home on the Mac, and building a professional career through the mobile revolution—from the early days of feature phones and BlackBerry to the heights of Android.  We moved from direct memory access on those ealy machines to various architecture and abstractions.More recently, I transitioned into Full Stack development, seeking a broader view of the systems we build. It felt like the right moment. The world of engineering is changing drastically. Do we even still need the traditional split of specializations like mobile, frontend and backend developers? Grady Booch recently noted, we have entered the 3rd Golden Age of Software Development. I remember studying his software modeling techniques back at university.Is this the Renaissance of the Software Architect as we are moving past the "move fast and break things" era? Read More...

• Danny Preussler [Engineer Integrations & Tech Lead Internal Tools — SoundCloud]

Lunch Break

Future of Engineering Stage — 1 hour

APIs for the Age of Agents

Future of Engineering Stage — 45 minutes Future of Engineering APIs

APIs have always been about exposing capabilities — but who's consuming them is changing fast. Alongside human developers, we now have two new types of API consumers: runtime agents that call APIs autonomously to get things done, and agentic coding tools that help developers and engineers build integrations faster than ever before. This shift changes what "good API design" means. Beyond readability for human developers, APIs now need to be optimized for machine consumption — what we might call agent experience. And above the API layer, workflows offer a more powerful abstraction: goal-oriented interfaces that let agents (and the people building with them) work at a higher level than individual endpoint calls.Making this work safely at enterprise scale requires two things: a security layer that brokers credentials so agents never hold secrets directly, and sandboxed environments that let agents and builders operate freely without risk to production systems.If you've already invested in your API estate, you're closer than you think. The path forward is an evolution, not a rewrite. Read More...

• Erik Wilde [Head of Enterprise Strategy — Jentic]

Keynote powered by Ipsos Interactive Services

Future of Engineering Stage — 30 minutes

Keynote powered by MassMutual Romania

Future of Engineering Stage — 30 minutes

International speaker keynote

Future of Engineering Stage — 45 minutes

• Adarsh Nandan [Lead Scale Solution Engineer — Databricks]

International speaker keynote

DevOps Stage — 45 minutes

Partner keynote

DevOps Stage — 30 minutes

Partner keynote

DevOps Stage — 30 minutes

Watching LLMs: observability best practices for AI systems

DevOps Stage — 45 minutes DevOps Open Source LLM Real case studies AI Systems

When you deploy an LLM-powered system, you might not always think about monitoring. But what if your RAG pipeline is not retrieving the right context, if your prompts are causing hallucinations, or if your token costs just tripled overnight? This talk covers the practical observability stack needed for LLM applications in production. By diving into code, we’ll explore how to instrument token usage and cost tracking across model calls, implement evaluation pipelines that catch quality degradation before your users do, and set up guardrails that prevent both prompt injection attacks and unexpected model behavior. You'll learn to trace requests through vector database queries, embedding generations, and completion calls to debug the full retrieval and generation pipeline.Using open source tools and vendor-agnostic approaches, we'll examine real production patterns: distinguishing between model latency and retrieval latency, tracking semantic drift in your vector embeddings, correlating user feedback with model parameters, and building dashboards that help you answer questions like "why did this query return irrelevant results?" and "which prompts are consuming 80% of our budget?"Whether you're running a chatbot, a document Q&A system, or any application with LLMs and vector databases, you'll leave with concrete strategies for understanding what your AI system is doing, how much it's costing you, and most importantly, whether it's working correctly.Takeaways:           •           How to implement observability across your entire LLM application           •           How to setup cost monitoring that prevents surprises           •           How to build effective guardrails and evaluation loops for production safety Read More...

• Gerard van Engelen [Founder — Obserfana]

Lunch Break

DevOps Stage — 1 hour

International speaker keynote

DevOps Stage — 45 minutes

• Emanuele Bartolesi [GitHub Tech Lead — Xebia]

Partner keynote

DevOps Stage — 30 minutes

Modernizing Java with Confidence: GitHub Copilot and OpenRewrite in CI/CD Pipelines

DevOps Stage — 45 minutes Java DevOps Automation

Modernizing Java applications often means dealing with framework upgrades, large refactorings, dependency conflicts, and preparing the codebase for cloud-native deployments, all while keeping CI/CD pipelines stable and predictable.
In this session, I will show how DevOps and platform teams can combine AI-assisted tools such as GitHub Copilot with deterministic automation like OpenRewrite, integrated directly into GitHub Actions–based CI/CD pipelines. We will look at practical patterns for automating Java modernization safely, keeping control and reviewability of changes, and scaling these workflows across teams. Read More...

• Sandra Ahlgrimm [Senior Cloud Advocate — Microsoft]

Should This Be a Kubernetes Operator?

DevOps Stage — 30 minutes DevOps Kubernetes

A pragmatic look at what Kubernetes operators are, when building one makes sense, and how they enable opinionated resources in cloud-native environments.

• Alexandru Dejanu [Moderator — DevOps Stage]

International speaker keynote

Cybersecurity Stage — 45 minutes

Partner keynote

Cybersecurity Stage — 30 minutes

Keynote powered by Sigma Software

Cybersecurity Stage — 30 minutes

Me, Myself & AI: Compliance, Control and Trust in an Algorithmic Age

Cybersecurity Stage — 45 minutes Artificial Intelligence Machine Learning Security Real case studies

AI and machine learning promise transformative benefits, from efficiency and innovation to enhanced cyber defense. Yet this same technology is a double-edged sword. The rapid adoption of AI introduces new compliance challenges around data privacy, bias, transparency, third-party risk, and ethical use—often at a pace faster than organizations can govern. As automation enables cybercriminals to launch attacks at unprecedented scale, it simultaneously becomes one of our most powerful defensive tools. The question is no longer whether to use AI, but how to do so responsibly.This talk explores how emerging global regulations such as the EU AI Act, U.S. legislative efforts, NIS2 and DORA are reshaping accountability for organizations that create, deploy, or rely on AI systems—particularly through third parties. Taking a risk-based approach, we examine what “high-risk AI” really means, why regulatory clarity is essential to avoid stifling innovation, and how standards such as ISO/IEC 42001 (AI Governance), 23894 (AI Risk Management), and 27090 (AI Security Controls) can provide practical guardrails. With data sovereignty becoming a battleground, geopolitical tensions fragmenting technology ecosystems, and over half of security incidents now linked to third parties, compliance is converging into a single concept: Digital Trust.Attendees will leave with a clearer understanding of how to integrate AI into compliance frameworks without losing control—knowing where their data is, who can access it, and which laws apply—while balancing innovation, security, and societal values. Because in an AI-driven world, trust isn’t a by-product of technology; it’s a strategic choice. Read More...

• Mathew Caplan [Director of International Professional Services — Orange Cyberdefense]

Lunch Break

Cybersecurity Stage — 1 hour

International speaker keynote

Cybersecurity Stage — 45 minutes

Partner keynote

Cybersecurity Stage — 30 minutes

Partner keynote

Cybersecurity Stage — 30 minutes

The Rise of "Vibe Coding" & Its Impact On Software Security

Cybersecurity Stage — 45 minutes Security Software Development Vibe Coding

Software development is shifting from syntax-driven to intent-driven. This is transforming not only the software developer's workflow, but also who in an organization feels empowered to code in the first place. As application innovation skyrockets, how do we stay strongly grounded in security? This session discusses the security implications of the ever-growing "vibe coding" trend and proposes actionable solutions for leaders, developers, and hardcore vibe coders alike. Read More...

• Erika Dietrick [Software Engineer — Independent]

Staying Relevant in QA: Building Skills, Communities, and Strategies for the Future

Quality engineering & Automation Stage — 45 minutes QA Community Impact Skill Growth

In today's fast-paced work environment, QA professionals face the challenge of staying relevant—whether as testers, consultants, entrepreneurs, or team managers.  This keynote explores practical strategies for continuous competence development, fostering learning cultures, and leveraging communities to thrive in evolving landscapes. We’ll discuss organisational frameworks like DORA, the role of training and certifications, and how to build resilient teams that embrace innovation. Read More...

• Mikko Paloheimo [QA Coach — Paloheimo QA Mentorworks]

Partner keynote

Quality engineering & Automation Stage — 30 minutes

Partner keynote

Quality engineering & Automation Stage — 30 minutes

The Signals We Keep: Friction, Feedback, and Appropriateness in Delivery Systems

Quality engineering & Automation Stage — 45 minutes Testing Q&A Systems Automation

The world is noisy. Overwhelmingly so at times.Engineering teams have spent years trying to quieten that noise. We remove friction, smooth developer experience, and optimise delivery systems to feel faster and cleaner. But lately I’ve been wondering whether we’ve been quietening the wrong signals.Much of this comes from real frustrations in delivery systems where confidence is often inferred from outputs, dashboards, and automation. In testing, we’ve long understood the importance of storytelling and appropriateness in how we interpret those signals, yet even in highly optimised environments, teams can still struggle to understand how their systems actually feel to work within, and what feedback they can truly rely on.As the actors in software delivery evolve, and the systems around us change faster than the expectations we built them on, some of the feedback that once helped us feel oriented has started to disappear. Pipelines are polished, tooling is optimised, and yet that sense of orientation is often harder to find.In this talk, I explore friction through a feedback lens. Drawing on personal frustrations, changing industry expectations, and lessons from real delivery environments, I’ll look at how friction can act as a signal rather than a destination. Not something to eliminate by default, but something that helps us notice when systems are renegotiating their identity and balance.This is a moment to reconsider how delivery systems feel, what feedback still matters, and how we decide which signals are appropriate to keep as our delivery engines evolve.Takeaways:1. Use a simple loop: Notice → Interpret → OrientWhen something feels off, treat it as a signal, not a problem to remove.2. Interpret signals empiricallyTreat outputs (AI, dashboards, automation) as evidence, not truth, and make assumptions explicit.3. Create moments to reorientUse conversations and shared understanding to sense-check what your systems are telling you before acting. Read More...

• Chris Armstrong [DevRel Test Advocate — SmartBear]

Lunch Break

Quality engineering & Automation Stage — 1 hour

International speaker keynote

Quality engineering & Automation Stage — 45 minutes

• Pekka Pönkänen [QA Competence Lead — Wolt]

QA in the Age of AI: From Testing to Trust

Quality engineering & Automation Stage — 30 minutes Artificial Intelligence QA Testing Real case studies

In a world where code can be generated in seconds with the help of AI, testing doesn’t disappear — it becomes more critical than ever. But what does “quality” really mean when delivery speed is growing exponentially and applications are becoming increasingly complex? In this talk, I’ll explore the evolution of software testing from the perspective of an engineer who moved from manual testing to automation with Selenium, and more recently to modern testing using Playwright and TypeScript. We’ll discuss how the QA role has evolved within CI/CD pipelines and how AI tools like ChatGPT and GitHub Copilot are reshaping the way we write and validate software.Through real examples and a live demo, I’ll show how AI can accelerate development, but also how it can introduce subtle issues that only a well-designed testing strategy can uncover. We’ll also look at why “more tests” doesn’t necessarily mean “better quality.” Read More...

• Cosmin Trandafir [IT Systems Testing Consultant — Bug Hunter]

Partner keynote

Quality engineering & Automation Stage — 30 minutes

International speaker keynote

Quality engineering & Automation Stage — 45 minutes

Hugging Face ecosystem

AI Product Stage — 45 minutes Machine Learning AI Systems

Niels will showcase the Hugging Face ecosystem, all the tools and services Hugging Face provides for making machine learning accessible, open and collaborative.

• Niels Rogge [Machine Learning Engineer — Hugging Face and ML6]

Partner keynote

AI Product Stage — 30 minutes

Partner keynote

AI Product Stage — 30 minutes

Manipulating The Machine: Prompt Injections And Counter Measures.

AI Product Stage — 45 minutes LLM AI Systems

In the rapidly evolving landscape of Large Language Models (LLMs), GPTs, and the omnipresence of OpenAI, prompt injections have become a subtle but significant vector for causing harm to AI-based tools.  With seemingly simple yet creative techniques, it is often possible to extract information that was meant to remain hidden.We will explore various methods to perform prompt injection to extract system prompts and documents used by GPTs and other LLM-based tools. Along the way, we will discuss ways to integrate countermeasures into these tools to defend against attempts to steal information.Learn about prompt engineering, prompt injection, protective measures, and why, after all, we should not worry too much. Read More...

• Georg Dresler [Principal Software Architect — Ray Sono]

Lunch Break

AI Product Stage — 1 hour

Panel

AI Product Stage — 1 hour

Keynote powered by EPAM Romania

AI Product Stage — 30 minutes

Partner keynote

AI Product Stage — 30 minutes

International speaker keynote

AI Product Stage — 45 minutes

An Agent Walks Into a Bar... and Meets Another Agent: Multi-Agent Systems in Action

AI Stage — 45 minutes AI Systems AI Agents

In the world of AI, a single agent can accomplish a lot—but what happens when multiple agents enter the scene? This session is your ultimate guide to understanding multi-agent systems (MAS), the key to building scalable, intelligent, and collaborative AI solutions. We'll break down the core distinctions between single-agent and multi-agent architectures, explore real-world applications, and dive into the complexities of agent interaction, coordination, and fault tolerance. Whether you're designing autonomous trading bots, smart logistics networks, or AI-driven simulations, this talk will give you a solid foundation in MAS and its transformative potential. Get ready for a deep dive into the tech that’s reshaping AI collaboration!- Why one “super agent” quickly gets overwhelmed- How specialized agents working together outperform a jack-of-all-trades- The five orchestration patterns (Sequential, Concurrent, Group Chat, Handoff, Magnetic) that make multi-agent systems effective in real-world use cases- Where this is heading: emergent behaviors, cross-domain teams, and self-healing systems- How to start building your multi-agent systems Read More...

• Maxim Salnikov [AI Dev Tools & Platforms Solution Engineer — Microsoft]

From API to AI: A Survival Guide for Building an MCP Server

AI Stage — 30 minutes Artificial Intelligence LLM APIs

We started with a successful B2B API, but quickly realized that feeding it directly to an LLM serving human travelers required a translation layer.  This talk explores how we built a consumer-facing MCP server that bridges that gap — translating rigid API schemas into AI-friendly tools that understand "budgets" and "vibes," deploying a single codebase across multiple AI partner integrations with different auth models and platform constraints, and ensuring reliability through an LLM evaluation framework with "golden prompts," data minimization, and prompt injection defenses.  Read More...

• Hakan Turkmenoglu [Full Stack Software Engineer — Booking.com]
• Rail Mazgutov [Backend Engineer — Booking.com]

AI is Now Everyone's Problem - Act Like It!

AI Stage — 30 minutes Artificial Intelligence Generative AI

There was a time when "AI in the enterprise" meant a data science team, a Jupyter notebook, and a model that ran once a day in a corner of your data warehouse. Controlled, Contained, rarely customer-facing. That era is over. GenAI didn't just raise the ambition for what AI can do, it changed who is responsible for delivering it. Enterprise developers are now building AI-native applications that are end-user facing, always-on, and deeply integrated with business-critical workflows. We went from deterministic logic to probabilistic models, from scripts to autonomous agents, and "it works in the sandbox" is no longer good enough.Data scientists haven't disappeared — but their role has evolved. Fine-tuning models, curating training data, and evaluating quality are more critical than ever. The difference is that their work now feeds directly into production systems built and operated by enterprise developers. Two disciplines, one pipeline, and the handoff between them needs to be seamless.This keynote tackles the hard questions that come with AI growing up: How do you move from prototype to production without losing control? How do you build with confidence while keeping security, compliance, and governance intact? And how do you bridge the gap between experimentation and enterprise scale?If your team is done experimenting and ready to ship, this talk is for you. Read More...

• Timo Salm [Master Solutions Architect — Broadcom]

International speaker keynote

AI Stage — 45 minutes

Lunch Break

AI Stage — 1 hour

International speaker keynote

AI Stage — 45 minutes

• Paul Ardeleanu [Principal Architect (Developer Relations) — Vonage]

Partner keynote

AI Stage — 30 minutes

Partner keynote

AI Stage — 30 minutes

The Self-Healing Canary: Integrating Agentic AIOps into Your Releases

AI Stage — 45 minutes Artificial Intelligence Kubernetes AI Systems

Standard progressive delivery is an essential safety net, but in most cases, a rollback is just the beginning of a long investigation. This session explores how to evolve from simple automated rollbacks to a self-healing release cycle by integrating an agentic AI system via the A2A protocol.
We will demonstrate an architecture where specialized agents analyze canary logs and metrics in parallel to provide high-fidelity health checks. If an issue is detected, the system immediately signals a rollback while simultaneously launching an asynchronous remediation workflow. This "coding agent" analyzes the specific error against the app's source code to either create a detailed issue description or propose a fix in the form of a pull/merge request.
To maintain performance and keep costs low, the system utilizes a hybrid model strategy. We run Small Language Models (SLMs) directly on a Kubernetes cluster for fast, local analysis and escalate to larger frontier models only when complex reasoning is required. Attendees will learn how to build this modular system and get access to the open-source implementation to start automating their own remediation loops. Read More...

• Kevin Dubois [Senior Principal Developer Advocate — IBM]

Session 1

Roundtable Area | Day 2 — 1 hour

Session 2

Roundtable Area | Day 2 — 1 hour

Session 2

Roundtable Area | Day 2 — 1 hour