Engineering and Product Management are two sides of the same coin. The success of one depends on the success of the other. Therefore, it’s urgent that we abandon the framework where these two roles coexist as separate functions and look at it as One Team, with complementing skills.
This session will guide you through the model used by OutSystems engineering, making sure that Engineering and Product Management are in lockstep with regard to strategy, roadmap, allocation, and execution.
A model of a unified team is a big transformation step and requires a big change in mindset, so we’ll focus on organization and people management, strategy definition, prioritization sources and models, data-driven decision-making, and the key ceremonies that you and your team should implement.

As the QA landscape undergoes this revolutionary transformation with the integration of Generative AI, it is apparent that we are embarking on a new era of software testing. The evolution of QA showcases the industry’s relentless pursuit of efficiency, accuracy, and comprehensive coverage. In this workshop we will go through example of such systems nowdays like Github Copilot and ChatGPT and provide practical examples how they can be used for developing a more coprehensive testing strategy for React Components and UI testing. While these AI aids can generate code snippets, human guidance is crucial for refining and validating the suggested tests. It discusses the evolution of AI tools, including GitHub's TestPilot and Copilot X, and raises privacy concerns related to cloud-based solutions.

Buckle up for a non-miserable ride through the Python development journey! In this talk, we'll navigate the path from coding bliss to production pragmatism. Uncover strategies, pitfalls, tools, and tales of triumph as we transform your Python development saga into a genuinely enjoyable experience, from development to production.

In this roundtable session, we will explore the ethical considerations surrounding artificial intelligence (A.I.) in product development. As A.I. continues to advance and become more integrated into our daily lives, it is crucial to examine the potential ethical implications that arise from its use.

During this session, participants will engage in a collaborative discussion to address questions such as:
1) How can we ensure that A.I. algorithms are fair and unbiased?
2) What are the potential risks and consequences of relying heavily on A.I. in product development?
3) How can we balance innovation and progress with ethical considerations? Through sharing insights, experiences, and best practices, attendees will gain a deeper understanding of the ethical challenges associated with A.I. in product development.

AI is often seen as just a buzzword. But it can become a real advantage if we let our strategy lead the way, not the other way around. To make AI work for us, we need clear goals, a focus on what will really impact our business, and a good grasp of what AI can and can't do. We also need to know our stuff, have solid basics like infrastructure, and measure how well things are going. Plus, we can't forget about bringing in people who know AI inside out.

On the flip side, just chasing the newest tech trends, copying competitors without thinking, ignoring the basics, changing plans too often because of AI, and getting caught up in the hype - these are mistakes we should avoid.

In this session, we'll talk about how to change our thinking to follow the successful approach, not the unsuccessful one. And we'll look at how to use AI the right way, thinking about ethics too. These will be our key lessons.

In this presentation, Marcel Hild, Architect for Red Hat Developer Hub, explores the implementation of Backstage to enhance productivity in developer teams. The focus extends beyond the widely recognized Software Catalog and Templates to cover essential features of the Backstage core platform, illustrating its comprehensive capability as a developer portal framework. Marcel will discuss the strategic advantages of integrating Backstage for Internal Developer Portals (IDP), challenging the notion that its utility is confined to cataloging or templating. <br
Drawing on experiences from introducing Backstage to a large, globally distributed engineering team, Marcel will share insights into the Proof of Concept, deployment, and onboarding processes. The presentation will cover effective practices for ensuring the platform's performance and reliability, including the automation of misconfiguration detection and the application of observability techniques to evaluate the success of Backstage adoption. This session aims to provide a nuanced understanding of how Backstage can serve as a pivotal tool in optimizing developer workflows and infrastructure management.

In this presentation, we will introduce the Retrieval-Augmented Generation (RAG) architecture. This technique uses natural language capabilities of Large Language Model (LLM) to query a private database. You can literally ask question about your data, without the need to fine-tune an LLM. In the lab session we will design a RAG system in Python using Langchain, an open source framework. We will store private documents in a vector database (i.e. Elasticsearch) and ask questions using natural language thanks to the usage of an LLM (e.g. ChatGPT).

Every organization, from six-month-old startups to 30-year industry giants, has legacy systems. These systems hold your company's history but can also block the shift to a modern digital business. We've spent the last two decades helping companies revamp these old systems. We've learned what works and seen many attempts that don't.

In our talk, we'll share several successful strategies for updating legacy systems and some common mistakes to avoid. We'll go over specific methods, when they work best, and how you might use or steer clear of them, with real-life examples. The session includes insights from collaborative work with experts like Martin Fowler, James Lewis, and Ian Cartwright.

In a time when everything is important, a good decision making process is the one key tool in your box to stay sane. You need to decide, with confidence, where you spend your time, where your team is spending theirs, and what priorities to sacrifice for others.

Join Matthias on a journey of a young founder, making decisions on a whim and without any kind of structure, always reacting rather than responding, to becoming an executive that’s much more confident in his decision making. We’ll look at how you can pull yourself out of a reactive decision making mode that causes utter stress constantly, to both you and your team, and make decisions with a high level of confidence and transparency. We’ll talk about what ingredients you need in place for your decision making to flow without you really having to do anything, with just a dash of laziness and looking towards what the future might behold, both good and bad (and neutral).

Software engineers are increasingly integrating machine learning (ML) into application development to create innovative solutions. Our in-depth workshop is designed for those eager to enhance their technical skills, covering machine learning and deep learning theories and practical applications. Attendees will learn through interactive lectures and hands-on activities, tackling topics like data preprocessing, feature selection, model building, and algorithm optimization. They'll also explore deep learning architectures such as neural networks.

By the end of the workshop, participants will be equipped to build ML models for their applications, making data-driven decisions and crafting intelligent software. This experience provides a foundation for anyone aiming to specialize in ML or improve their current applications' features. The workshop is an opportunity for both experienced engineers and novices to stay current with AI and ML technological advancements.

The success rate of software projects has more than doubled since the introduction of the Manifesto for Agile Software Development 23 years ago. Despite this, developers and their managers are increasingly turning their backs on so-called "Agile" just when we need it most. And the sad thing is that they are right; Agile is no longer agile. Let's look at what went wrong, and let's start a discussion about reapplying the core values of the Manifesto and reclaiming the benefits of agility for individuals, teams, and organizations.