AI development hits everyone, so hit us. Everybody wants AI agents to replace regular UIs. In this talk, I will describe the evolution of our multitool AI agent, built with Node.js on top of Google Vertex AI. I’ll dive into our journey of choosing the right models and scaling development through CI/CD, TDD, and performance monitoring. Is it even possible to achieve stable results for AI projects that can hallucinate and return various responses? Interestingly, we eventually decided to remove MCP servers and Zod schema validation—technologies often considered the "standard" for these tasks. Want to know why we moved away from them? Join my session to get these insights and ask your questions live!

<p>MLOps (Machine Learning Operations) is a recent buzzword, that trends a lot. Let's figure out together how maintaining applications with machine learning components is significantly different from maintaining applications without them.</p> <p>We will look into MLOps best practices and typical problems and their implementations/solutions in real world production.</p>