[Music] So, as you come in, we have here a server set up with everything you'll need. If you want to follow along, you should have gotten a post-it note. If you don't, just raise your hand and my colleague Alex over here will come find you and we'll provide you with one.Uh, basically what you're going to do is you're just going to go, if you have a number 160 or below, you go to this link here, the QR code on top as well. Um, and if you have a number that's 2011 or above, you go to the second link or the QR ...

AI Coding Agents: Efficacy and Usage - Coding agents are substantively useful, though opinions vary on their best practices and applications [1] - The number one mistake people make with coding agents is using them the same way they used AI coding tools six months ago [1] - The evolution of frontier model capabilities drives distinct eras in generative AI, influencing application architecture [1] Design Decisions for Agentic LLMs - Agents should make edits to files without constant human approval [2] - The necessity of a thick client (e.g., forked VS Code) for manipulating LLMs is questionable [2] - The industry is moving beyond the "choose your own model" phase due to deeper coupling in agentic chains [2] - Fixed pricing models for agents introduce perverse incentives to use dumber models [2] - The Unix philosophy of composable tools will be more powerful than vertical integration [2] Best Practices and User Patterns - Power users write very long prompts to program LLMs effectively [4] - Directing agents to relevant context and feedback mechanisms is crucial [5] - Constructing front-end feedback loops (e.g., using Playwright and Storybook) accelerates development [6] - Agents can be used to better understand code, serving as an onboarding tool and enhancing code reviews [9][11] - Sub-agents are useful for longer, more complex tasks by preserving the context window [12][13]

[Music] Hi, I'm Lizzie. I'm a developer advocate at Cloudflare. And I'm Nick. I'm a developer experience engineer at work OS. Yes. So, at Cloudflare, I make a lot of AI demos, AI MCP servers. Anyone here also making any of those? Yes. Agents. Nice. Of course, should have guessed because conference. So, I've been having fun making agents and MCP servers that act on behalf of me. I built an agent to auto vote in the NBA finals for me and then I got blocked eventually. Uh, anyways, like book tennis courts in S ...

AI agents promise breakthroughs but often deliver operational chaos. Building reliable, deployable systems with unpredictable LLMs feels like wrestling fog – testing outputs alone is insufficient when the underlying workflow is opaque and flaky. How do we move beyond fragile prototypes? This talk, from the creator of Docker, argues the solution lies outside the model: engineering reproducible execution workflows built on rigorous architectural discipline. Learn how containerization, applied not just to depl ...

Product leaders see AI possibilities. Operations teams see implementation chaos. That disconnect can kill promising AI features before they ever reach users. In this session, Chris Hernandez (Chime) and Jeremy Silva (Freeplay) share an integrated framework that bridges product strategy and operational reality. You'll learn how they transformed fragmented AI workflows into a unified approach—from prototyping and prompt testing to human review loops and model benchmarking. We’ll explore how to build evaluatio ...

How do you get time to first byte (TTFB) below 150 milliseconds for voice models -- and scale it in production? As it turns out, open-source TTS models like Orpheus have an LLM backbone that lets us use familiar tools and optimizations like TensorRT-LLM and FP8 quantization to serve the models with low latency. But client code, network infrastructure, and other outside-the-GPU factors can introduce latency in the production stack. In this talk, we'll cover the basic mechanics of TTS inference, common pitfal ...

Agent deployments can be dicey, especially at first. This session goes over all the things that cause headache with deployments from serverless issues to networking issues - and how we fix them. About Rick Blalock Seasoned founder with exit. Developer at night and during the day if I can fit it in meetings... Scaled a mobile developer platform from hundreds to 800,000 developers. Successfully started and sold a fisheries platform & app to the world's largest fishing app with 15m+ users, and then led that co ...

An introduction to the evals track About Manu Goyal Manu Goyal is the founding engineer at Braintrust. Previously, he developed autonomous systems at Nuro. He has an 8 year old Pomeranian named Hendrix. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter ...

[Music] Welcome everyone. Thank you so much for coming. My name is Forest.This is Matt. Uh and we're going to be talking to you today about augment agent and specifically legacy code. how we get the most out of gnarly legacy code bases using an AI agent.So I do not work for Augment Code. Um I am a friend and partner of Augment Code. So I helped to put this talk together.Matt is from Augment Code. So he's going to be your best person to come to with your most detailed technical questions after the session. M ...

[Music] Um, yeah. So, my name is Mike Chambers. I'm going to pick you up a little bit there. So, I'm from Queensland in the eastern part of Australia, but that's okay. Um, yeah, very happy to be here. So, I'm a developer advocate for Amazon Web Services. Um, and I completely and utterly and only and totally spe specialize in generative AI. Used to be machine learning. Now it's generative AI. Um, I'll be talking about why this slide is up here in a moment. Any tabletop RPG players in the room? There's got to ...