Was bedeutet KI für die Art, wie wir zusammenarbeiten?

Man liest es gerade überall: Ein Dev, zwei Agents – kein Team mehr nötig. Ob das stimmt, weiß keiner so genau. Aber die Frage, was das für uns bedeutet – für Rollen, Zusammenarbeit, Führung, den Alltag in agilen Teams – die stellt sich trotzdem.

Dieses gemeinsame Meetup von Agile Chemnitz und 42 Shades of IT ist kein Vortrag darüber, was KI alles kann. Wir wollen uns darüber austauschen, was ihr schon erlebt habt. Wie hat sich eure Arbeit verändert, was habt ihr ausprobiert, was hat funktioniert – und was nicht? Und wo glaubt ihr, dass es hingeht?

Dafür starten wir mit einem kurzen Impuls aus unserer eigenen Erfahrung – und gehen dann in den Austausch, am besten bunt gemischt: Entwickler*innen, Agile Rollen, Teamleads, HR. Leute, die sich einbringen wollen, nicht nur zuhören.

Was erwartet dich?

• Ankommen und Networking ab 18:30 Uhr
• Kurzer Impuls zu aktuellen Beobachtungen rund um KI und agile Zusammenarbeit
• Erfahrungsaustausch: Wie arbeitet ihr heute mit KI – jenseits der Technik?
• Diskussion: Was wird wichtiger, was weniger? Was braucht ihr für die Zukunft?
• Raum für Ideen, Inspiration und Vernetzung

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Wir freuen uns auf euch!

Hinweis: Das Meetup findet ausschließlich vor Ort als Präsenzveranstaltung statt.

Note: Conversations and discussions are in German.

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The Model Context Protocol (MCP) is transforming the way AI agents interact with enterprise systems and APIs. While traditional APIs are primarily designed for human developers, MCP creates a bridge that integrates AI models as fully-fledged actors within enterprise landscapes. This allows them to access systems directly and become part of the system architecture. In this presentation, we address the central question of how MCP differs from classical APIs, where parallels exist, and what implications this has for design, integration, and governance. Through a hands-on showcase, we demonstrate a concrete implementation: we show how existing APIs can be made accessible via MCP servers and present a comprehensive MCP blueprint. Additionally, we explore how Azure cloud services can be leveraged to deploy, manage, and secure an MCP server. The talk provides practical insights from the development and operational deployment of MCP servers, including new challenges, solution approaches, and lessons learned.

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In economically challenging times, the pressure to make digital systems more efficient continues to grow. At the same time, complexity and the pace of change are increasing - making technical missteps more costly than ever. Yet optimization efforts often focus primarily on the early phases of a project, while lifecycle costs, adaptability, and long-term sustainability are not always given the attention they deserve. At the same time, significant potential can emerge - or quietly be lost - during ongoing operations. The key insight is this: those who prioritize maintainability, resource efficiency, and continuous improvement from the start not only reduce costs, but also build systems that remain affordable, reliable, and effective in the future. With this session, we aim to provide practical food for thought, share real-world experiences, and spark a broader discussion about building IT systems that are both economically and sustainably sound.

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The Model Context Protocol (MCP) is transforming the way AI agents interact with enterprise systems and APIs. While traditional APIs are primarily designed for human developers, MCP creates a bridge that integrates AI models as fully-fledged actors within enterprise landscapes. This allows them to access systems directly and become part of the system architecture. In this presentation, we address the central question of how MCP differs from classical APIs, where parallels exist, and what implications this has for design, integration, and governance. Through a hands-on showcase, we demonstrate a concrete implementation: we show how existing APIs can be made accessible via MCP servers and present a comprehensive MCP blueprint. Additionally, we explore how Azure cloud services can be leveraged to deploy, manage, and secure an MCP server. The talk provides practical insights from the development and operational deployment of MCP servers, including new challenges, solution approaches, and lessons learned.

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Cloud platforms face a fundamental challenge: How do we enable developers to access cloud and Kubernetes resources quickly and autonomously - without compromising security, compliance, and governance? The Cloud Operating Model describes how responsibilities are distributed between platform and application teams. In doing so, it reveals an apparent contradiction: maximum autonomy on the one hand, centralized control on the other. This session demonstrates how Crossplane resolves this tension at a technical level. As a Kubernetes-native control plane, Crossplane brings governance and self-service together, making the Cloud Operating Model practically achievable. Platform teams define reusable, secure infrastructure patterns, while development teams consume them through self-service APIs - without being able to bypass established standards. Through declarative blueprints, automated validation, and role-based access controls, governance evolves from a bottleneck into an enabler of speed and security. Using concrete real-world examples, the talk illustrates how organizational requirements can be translated into technically enforceable patterns—and how teams can move to the cloud faster, more securely, and more efficiently.

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