Overview
JSNation US 2026 is a conference to get updates from authors and core teams, presenting on the West's largest dome screen. It covers various topics from Web MCP, AI-Native Product Engineering, Frontend's Existential Crisis, and modern React Architecture. The event also delves into Java Script security, 3D websites with React Three Fiber, cross-origin storage, and Node.js tracing channels.
Speakers
4Schedule
Opening Ceremony
WebMCP: Clicks n' Clankers
You were wrong about MCP being dead, and you probably ignored WebMCP. Now it's time to skill up.Agents are increasingly part of every workflow we do, but many websites and app haven't adapted yet. first-party integrations ship without a UI. Screen scraping is expensive.
Agentic Kernel Optimization at the Scale of the Web
Everything is Fine: A Brief History of JavaScript Security
JavaScript has been around for almost 30 years and we are still finding ways to hurt ourselves with it.Sit back, relax, and join me on this journey through the history of JS security vulnerabilities. We will be starting in the days of innerHTML abuse and Cross-Site Request Forgery, moving along through the JSON hijacking era, making a stop to take a look at npm supply chain abuse, and landing in what we’re all dealing with presently: how AI assisted coding is introducing new vulnerabilities in w
Coffee Break
QUIC in Node.js ... The Gritty Details
QUIC in Node.js has been a work in progress for a long time and we're very nearly there. If you want to know how to use it, you can refer to the docs. If you want to know some of the gnarly details of what's happening under the API, this is the talk. We're going to go deep.
Why Your Coding Agent Still Writes 2019 Web Code
Frontier coding agents routinely ship hundreds of lines of legacy JavaScript for UI patterns the web platform now handles natively. Drawing on Modern Web Guidance, an agent skill with 200+ web development tasks, we’ll explore why models lag behind the platform, and how to steer and verify them in practice.
Build Your AI Second Brain in TypeScript
I have been running an AI second brain as a developer for the past year, and it saves me at least 20 hours every week. It knows my repos and the conventions in each one, dispatches coding work to run in the background, drafts my email replies, and pings me on Slack when something needs my attention. In this talk I will show you how to build one in TypeScript.We will walk through the four parts that make it work. The memory is just markdown files that the agent writes to and curates itself.
Lunch
Look Ma, No Hands! Multimodal AI-Agents in the Browser
In this talk, we’ll explore how to build multimodal AI agents that understand voice, interpret images, hold short-term memory, and respond intelligently - all running entirely in the browser. No server, no cloud APIs, and no installation. Using modern tools like WebGPU and WebAssembly, we’ll see how far the open web has come in enabling real-time, privacy-preserving AI experiences.
Slopbowli-fication of Software
AI has made code generation nearly free, but reliable systems still require architectural intent. While the world is moving toward having many agents orchestrate and manage your code, this approach can also lead to brittle orchestration and unverified execution. So in this talk, we'll focus on the right primitives you can use to turn rapid prototypes into coherent production systems. Learn how to design agent infrastructure that offers high observability and scales effectively.
Lightning Talks
Coffee Break
Groundhog Day: A Decade in the Web Performance Trenches
The slowest smartphone your code will ever run on is ridiculously fast in an objective sense. So why does every burrito taxi website feel like trying to run in waist-deep molasses? Gather round this here campfire for (largely anonymised) tales from ten years of PWA consulting performance remediation purgatory.
Frontend Beyond the Screen: Where AI Agent Is A User
For years, frontend engineering has focused on building interfaces for people to interact with applications through screens. We learned to design for different interaction models, from mouse and keyboard to screen readers and voice control.Now with AI agents comes another interaction model. Instead of navigating buttons and forms, they can increasingly interact with applications through structured capabilities such as WebMCP and other a