Learn how to leverage AI assistants and the yFiles MCP Server for production-ready graph visualization.
While AI assistants excel at generating standard UI components, complex graph visualizations demand strict architectural precision. Generic LLMs frequently fail to handle the intricate layouts and performance requirements critical for enterprise network diagrams and org charts.
In this webinar, we cut through the AI hype to evaluate practical AI-assisted development techniques—ranging from basic prompting and IDE co-pilots to autonomous agents powered by the new yFiles MCP Server (Model Context Protocol). Discover where current AI tools accelerate your workflow, where they hit a wall, and how different approach patterns impact long-term code quality.
Join our CTO, Sebastian, for a pragmatic look at AI-assisted engineering. See exactly how to transition from a raw prompt to a refined, interactive diagram, followed by a live Q&A session.
This session is built for software engineers, frontend developers, and architects looking to integrate AI workflows into graph visualization projects without sacrificing scalability or performance.




































