Artificial Intelligence is transforming software engineering at every level. While AI can generate code, automate tasks, and assist with decision-making, successful engineers still need to provide direction, context, and judgment. The next generation of software development is not just about using AI tools, it is about understanding how to collaborate with AI agents, influence teams, and design systems that combine human expertise with machine intelligence.
This Fullstack Live Event explores two critical dimensions of modern engineering. First, you’ll learn why soft skills, communication, and stakeholder management are becoming even more valuable as AI adoption accelerates. Then, you’ll dive into the technical side of agentic AI, discovering how multiple AI agents can collaborate, use tools, retrieve knowledge, and orchestrate complex workflows. Together, these perspectives provide a practical roadmap for engineers who want to stay relevant, productive, and influential in the AI era.
As AI becomes a core part of software delivery, engineers face new challenges that cannot be solved through technology alone. This session explores three essential soft skills that help engineers thrive in AI-driven organizations. Through practical examples and interactive exercises, you’ll learn how to influence stakeholders, communicate technical risks clearly, negotiate effectively, and understand the priorities of executives and decision-makers. These skills will help you maximize your impact long after coding tasks have been automated.
In this live-coding session, you’ll build a role-playing game powered by multiple collaborating AI agents. Using Spring AI, you’ll explore concepts such as MCP (Model Context Protocol), Agent-to-Agent communication (A2A), RAG (Retrieval-Augmented Generation), and AI tool integration. Along the way, you’ll discover how agentic systems coordinate tasks, access external knowledge, enforce rules, and generate dynamic experiences—providing practical insights into building sophisticated AI-powered applications.
Software engineers who want to understand how AI is changing software development and how to remain valuable in an increasingly automated industry.
Developers and architects looking to gain hands-on experience with agentic AI systems, AI orchestration, and modern AI application architectures.
Technical leaders who need to balance emerging AI capabilities with effective communication, stakeholder management, and organizational influence.
how to develop the soft skills that become more important as AI adoption grows
how AI agents collaborate through tools, protocols, and shared workflows
how Spring AI, MCP, A2A, and RAG enable modern agentic applications
how to design systems where humans and AI work together effectively
Jonathan Kahn helps engineering teams and technology organizations navigate the human side of software development. His work focuses on communication, leadership, stakeholder management, and helping engineers build the skills needed to thrive in rapidly changing technical environments.
Arnaud Jean specializes in modern Java development, AI-powered applications, and distributed systems. He focuses on helping developers build practical, production-ready solutions using emerging AI technologies and modern application architectures.
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