Bad designs are still bad. AI doesn’t make it good. The novelty of AI makes the bad things tolerable, for a short time. Building great designs and experiences with AI have the same first principles pre-AI. When people use software, they want it to feel responsive, safe, accessible and delightful. We’ll go over the big and small details that goes into software that people want to use, not forced to use. About John Pham I'm John Pham, an engineer and a self-taught designer. I seek the dopamine hits of buildin ...

You've made the demo. How do you make the product? A lot of AI products don't actually work. Even worse, a lot of the techniques being advertised for making AI products better don't work either. We'll cover the challenges + techniques we've seen actually work in the real world. About Ben Hylak Ben Hylak is co-founder at Raindrop, building Sentry for AI products. He was previously a designer at Apple for 4 years, building the Apple Vision Pro. About Sid Bendre Sid Bendre is the co-founder of Oleve, a company ...

Full workshop covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding. About Ilan Bigio Ilan Bigio is a founding member of OpenAI’s Developer Experience team where he explores model capabilities, builds demos and developer tools, and shares his learnings through talks and docs. His work includes creating the AI phone ordering demo showcased at DevDay 2024, leading technical development for Swarm, the precursor to the Agents SDK, ...

Code is the lingua franca for both software engineers and highly capable AI models. As we give agents the ability to build, test, and run code that they generate, the command line becomes their canvas—and their attack surface. This keynote explores what it takes to bring code-executing agents from research to real-world deployment while maintaining control and security. We’ll cover how terminals offer AI an ideal interface, why they’re deceptively risky, and what it means to embed security, guardrails, and ...

Trust is a multifaceted outcome that results when product and engineering teams work together to build AI that is aligned, explainable, and secure. Learn strategies for how to build trustworthy AI and why trust is paramount for AI systems. Trustworthy AI = AI Security + AI Safety Learn about the differences between AI Security and AI Safety and how the three focus areas of MLSecOps + AI Red Teaming + AI Runtime Security can help you achieve both and ultimately build Trustworthy AI. Trustworthy AI Issues in ...

In this video, we explore the evolution of Windsurf, its core philosophy, and its ambitious vision for the future of AI in software development. Here's what you'll learn: 00:00 - Introduction to Windsurf: Discover the rapid growth and key features of this AI Engineer World's Fair product, including web search, MCP support, auto-generated memories, and parallel agents. 02:18 - The Core Philosophy: Learn about the "secret sauce" behind Windsurf's intuitive, mind-reading AI, which creates a shared timeline bet ...

A ten thousand foot view of the coding space, the UX of coding, and the Claude Code team's approach About Boris Cherny Created Claude Code. Member of Technical Staff @Anthropic. Prev: Principal Engineer @Meta, Architect @Coatue. Author, OReilly's Programming TypeScript. 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 ...

My name is Sarmad and today I want to talk about building effective agents with model context protocol or MCP. So a lot has changed in the last year. Um especially as far as agent development is concerned.I think 2025 is the year of agents and uh things like MCP make agent design simpler and more robust than ever before. So I want to talk about what the agent tech stack looks like in 2025. The second thing is a lot of uh MCP servers today are just you know onetoone mappings of existing REST API uh uh servic ...

Great. Thank you for the introduction and thanks to the International Advanced Natural Language Processing Conference for organizing this and uh thanks as well for allowing this this talk to start and kick off the the conference. I appreciate it.You guys have done a great job. Um in terms of the um the topic, I do have to uh make sure that we understand the contextual uh background behind this this this topic uh today and recent events over the last few weeks and months. Uh so I'm going to take a few minute ...

Hi, I'm Robert. I'm the co-founder and CTO at Wordware. And at Wordware, I've personally helped hundreds of teams build reliable AI agents.I'm here to share a few of the insights that we got, especially when it comes to tools. Um, really agentic MCPs, giving your tools time to think. Before I worked on uh LLMs and agents, I used to work on self-driving cars, and really, you know, building high reliable systems is in my blood.So, uh, yeah, here we go. The promise of agents are automated systems that can take ...