Swyx - Founder of smol.ai and host of Latent Space Podcast

Swyx is visiting from San Francisco and will be sharing about the state of AI and The Rise of the AI Engineer.

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.

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.

Recently I have been building Menagerie a tool for dispatching many Claude Code agents to complete tasks in parallel while maintaining visibility of progress, status and outputs. agents can show you what they are doing to the web app via playwright and ask for help when the need it.

I think the future of engineering will be based on creating robust agentic systems and amid all the doom and gloom that can exist in the industry these days I want to paint a positive picture of the exciting engineering problems that actually lay ahead of us.

Along with this I'll describe what it has taken me to deploy a system like this, e.g. sandboxing, cursor compatibility, terminals over the network and also how i've made it fun to use (for example you can give your agent a cute avatar, and if you so choose also a top hat)