AI Coding Summit NYC

Kent C. Dodds is a world renowned speaker, teacher, and trainer and he's actively involved in the open source community as a maintainer and contributor of hundreds of popular npm packages. He is the creator of EpicReact.Dev and TestingJavaScript.com. He's an instructor on egghead.io and Frontend Masters. He's also a Google Developer Expert. Kent is happily married and the father of four kids. He likes his family, code, JavaScript, and Remix.

Cory is an author, a 12 time Microsoft MVP, and international speaker. He has trained over 10,000 software developers at conferences and businesses worldwide. Cory has authored over a dozen courses on JavaScript, React, C#, testing, and web development on Pluralsight and Dometrain. He shares software development tips daily on X as @housecor.

David is the founder of Stately.ai and creator of XState, the most popular open-source state machine & statecharts library. He's a longtime advocate for event-driven modeling and visual diagramming as the foundation for reliable UIs and, increasingly, AI agents. When he's not at a computer keyboard, he's at a piano keyboard.

Ben is a full-stack developer, open source maintainer, and whiteboardist making the web a little better. You'll find him hacking on warp.dev or sharing bite-sized learnings on YouTube.

Daniel Ávila is a Chilean AI Software Engineer and open-source builder based in Grand Rapids, MI. He is the creator of Claude Code Templates (aitmpl.com), a component library for Claude Code with 111K+ npm downloads and 21K+ GitHub stars, featured in Anthropic's official documentation and part of the Claude Open Source Program. He is AI Tech Lead at Hedgineer, where he builds enterprise agentic systems for hedge funds in New York. Daniel has presented at major tech events across the US, Spain, Brazil, Peru, and South Korea.

Rishab is a Staff Developer Evangelist at Twilio, part-time cloud professor at St. Lawrence College, co-founder of Learn to Cloud, GitHub Star, Google Developer Expert and an AWS Community Builder. He is passionate about helping people get into cloud and AI, and sharing his learnings from his time in cloud, DevOps and now DevRel.

Creator of Nx, the monorepo platform, and Polygraph, the meta-harness for max agent autonomy. A former member of the Angular core team at Google. Victor has spent 15+ years developing high-performance frameworks and build tools for large-scale JavaScript applications.

CTO at Callstack. Passionate about cross-platform technologies. When not working, you can find him on a race track.

Maya is Lead Software Engineer in Salesforce, working extensively with JavaScript and frontend frameworks and based in Israel. She founded and is currently the organizer of the VueJS Israel Meetup Community, helping to create a strong playground for Vue.js lovers and like-minded developers. Maya is also a published author, international speaker and an open-source library maintainer of frontend and web projects. As a core maintainer of StorefrontUI framework for e-commerce, she focuses on delivering performant components and best practices to the community while believing a strong Vanilla JavaScript knowledge is necessary for being a good web developer.

Jemima Abu is an award-winning product engineer, Google Developer Expert, Microsoft MVP, and Certified Professional in Accessibility Core Competencies. She is passionate about diversity in technology and accessibility in web development.

Tech leader leveraging AI to solve real business problems. Built and scaled AI solutions across multiple ventures - from custom agent architectures to enterprise RAG systems and local AI deployments. My biggest passion is teaching others how to leverage AI effectively. I run a private AI community and a YouTube channel breaking down complex AI concepts into practical, hands-on guides. My content mostly covers building AI agents and leveraging AI coding assistants in ways that actually scale.

Avindra Fernando is a Principal Architect with 13+ years of experience helping teams build scalable modern web apps. In 2021, he founded Taprobane Consulting to guide clients through architecture decisions, tech stack migrations, and AI-powered development and testing strategies. He also mentors teams, runs hands-on workshops, speaks at tech conferences, and helps companies improve quality, performance, and technical direction.

James O'Reilly is a Developer Relations Engineer at Google, where he focuses on AI agent orchestration and multi-agent systems via Google Antigravity. Specializing in automated platform modernizations, James helps enterprise engineering teams safely migrate aging monoliths to highly optimized architectures. He loves building infrastructure that lets AI do the heavy lifting.

Daniel is an AI Architect at Payoneer with over two decades of experience leading development teams, both in Israel and abroad, from idea to production. His current focus is AI infrastructure and multi-agent systems in real-world use — the layer that ties together developer tools, knowledge graphs, and product delivery. Daniel is a public speaker and a blog writer, and an active contributor to open source. He also runs the "NG-Heroes" meetup, a space for the local tech community to meet and share what they're learning. Outside of work, family comes first. He proudly holds the title of "The Best Developer in the World" — awarded by his wife, and he has no plans to give it back.

I’m an AI Agent Developer who has been coding with AI for the past six years,starting from the early days of GitHub Copilot. As one of Cursor’s earliest users, I now run workshops across different domains and speak frequently on AI productivity, helping developers unlock the full potential of AI-powered tools. My expertise spans the full generative AI pipeline, from fine-tuning models and optimizing prompts to running rigorous evaluations and building scalable agents. Grounded in a strong background in test architecture, I design AI agents that balance complexity with reliability. I focus on constantly refining and optimizing these systems to push the boundaries of what modern AI software can achieve

Nathan is the EM of the Sharing squad at Grafana Labs and is based out of beautiful Monterey, California.

I’m Preethi, a Senior Frontend and Design System Engineer with over five years of experience building scalable UIs, performance-optimized applications, and production-grade React design systems. Also a technical author at freeCodeCamp, CSS-Tricks, and DigitalOcean, where I simplify complex system design without losing technical depth. As a Co-Founder of the D for Design System community and Creator of the legooo React Design System, I focus on building intelligent frontend systems that work for both humans and AI.

Eugene Sergueev is a Director of Engineering at Flo Health, where he leads cross-functional teams building large-scale consumer product experiences across content, search, personalization, moderation, and social features. He works at the intersection of product engineering, team effectiveness, and practical AI adoption. His current focus is making AI-powered development workflows measurable, reliable, governed, and production-ready — especially in environments where quality, privacy, and operational risk matter.

Susheem Koul is a Software Engineer at Microsoft with 7+ years of experience in product development, currently focused on designing and building agentic systems. His work spans distributed systems, AI agents, software architecture, and the challenges of bringing AI-powered systems into production. He is particularly interested in the intersection of AI and distributed systems, exploring topics such as agent reliability, observability, token governance, and deterministic execution. He regularly speaks and writes about AI engineering, agentic systems, and software architecture. Susheem presented at the AI Engineer World's Fair 2026 in San Francisco and regularly delivers technical sessions to engineering audiences. Outside of work, he writes about the philosophy of learning, software architecture, and technology on his Substack.

Kiriti Badam is a Member of Technical Staff at OpenAI, where he builds Codex. Previously, he was a founding ML-infrastructure engineer at Kumo.ai, where he helped take the product from an idea to a scalable multi-tenant platform training hundreds of models each day. Before Kumo, Kiriti built large-scale storage and data-processing infrastructure at Google, Databricks, and Samsung. He also teaches practical courses on designing production agentic applications and harness engineering.

I’m a co-founder of Signal Analytics, where I’m hands-on building an AI-native product and engineering team from scratch. Previously, I led data science and engineering teams at BCG, taking AI and data products from idea to production. I have a love-hate relationship with AI/AI coding, and I share many of my thoughts on this on my blog (andreagao.com) and in public talks.

Tisha Chawla is a Software Engineer at Microsoft, where she builds agentic systems engineered to run reliably against production data. Her work centers on the structural foundations of agent infrastructure: durable state management, deterministic execution frameworks, and self-healing orchestration layers that scale beyond isolated demos. Alongside Susheem Koul, she is the co-creator of AgentPlane, an open-source infrastructure layer built for teams deploying production-grade agents. Tisha is a published researcher with peer-reviewed papers in applied machine learning across venues like APNET (SIGCOMM) and ASONAM. A frequent speaker on developer productivity and deterministic AI architectures, she recently presented at the AI Engineer World's Fair 2026 in San Francisco and regularly delivers deep-dive technical sessions to engineering teams across Microsoft.

Shreshth Goyal is a Software Engineer at Curefit who builds AI systems that actually run in production. He spends his days orchestrating agents, wiring up LLM pipelines, and making sure retrieval does not hallucinate at scale. He writes about AI tooling on dev.to and moderates the community so the comments stay useful. He has a soft spot for edge devices, an unhealthy obsession with equity backtesting, and firmly believes most AI demos would not last a day in production.