AI agents are everywhere, but how do you go from demo to dependable? In this talk, we’ll build agents using LangGraph, and take it beyond toy examples into enterprise-grade readiness.

We’ll start with context engineering concepts like: control flow, prompt engineering, prompt management and tool calling. From there, we’ll build an agent step-by-step, enabling contextual reasoning via Retrieval-Augmented Generation (RAG), and integrating tool use for dynamic task execution. We'll also cover agent observability with open source observability tools such as LangFuse to bring full observability into the decision our agents make.

Whether you're exploring AI agents or planning your first production deployment, you'll leave this session with the patterns, tools, and clarity to do it right.

It's pretty common to evaluate new changes with a vibe check but that makes it difficult to really know what's up with your system. We'll talk a bit about how to build more complex apps.

Evals are the difference between building a demo and a product you can actually use. This talk is a little story about building a new class of product at StackOne. A front door for AI agents into the HR tech ecosystem. I'll talk about building workflows, agentic rag and how to make sure it doesn't all break all the time.

Agentic React apps where UIs autonomously act, chain tool calls, and evolve state—bring complexity that traditional observability tools can't unravel. How do you actually understand what your agents are doing in production?

In this talk, we'll explore agent observability: capturing not just logs, metrics, and traces, but the reasoning, tool usage, and decision paths behind agent behavior. You'll learn how to bring visibility into agent workflows, how OpenTelemetry semantic conventions help standardize telemetry, and how modern tools let your agents "talk back," so you can debug, understand, and trust what they're doing.

By the end, you will take away a practical workflow to instrument, trace, and interrogate agents—so your apps aren't operating in the dark.