November 16 - 19, 2026
AI Coding Summit
New York, US & Online

AI Coding Summit NYC

See how AI transforms software engineering

Full remote ticket included with Multipass.

Bringing AI coding best practices to NYC. Two days of practical talks and workshops on coding agents, AI code review, context engineering, prompt-driven development, and shipping production software with AI at scale. Connect with the East Coast AI developer community and learn proven workflows from engineering leaders who use AI tools daily.

Kent C. Dodds
Kent C. Dodds
Epic React, USA
Talk: I Built Your Personal Software Ecosystem
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 House
Cory House
reactjsconsulting.com, USA
Talk: Automating Quality with AI
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 Khourshid
David Khourshid
Stately AI, USA
Talk: Cloning Full-Stack Apps with AI: What It Really Takes
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.
Daniel Ávila
Daniel Ávila
Hedgineer, USA
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.
Dominik Kundel
Dominik Kundel
OpenAI, USA
Talk: What Comes After AI Coding
Dominik is a tech lead on OpenAI’s Developer Experience team, focusing on bringing Codex and frontier agent capabilities to developers. Previously, he led Product & Design for Twilio’s Emerging Tech & Innovation team. Outside of work, he loves tinkering with cocktails, food, and photography.
Rishab Kumar
Rishab Kumar
Twilio, USA
Talk: rm -rf: Horror Stories From Unsandboxed AI Agents (and How Docker Fixes This)
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.
Victor Savkin
Victor Savkin
Nx / Polygraph, Canada
Talk: Why Everyone Is Building a Meta-Harness
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.
Mike Grabowski
Mike Grabowski
Callstack, Poland
Talk: Beyond Coding Agents: Making ADLC Work Across Platforms
CTO at Callstack. Passionate about cross-platform technologies. When not working, you can find him on a race track.
Erik Hanchett
Erik Hanchett
AWS, USA
Talk: Using Spec-Driven Development for Production Workflows
Hey! 👋 I'm Erik Hanchett, published author of Vue.js in Action (Manning) and the Ember.js Cookbook. For over a decade I've taught hundreds of thousands of developers how to ship better code, building Program With Erik into a 100,000+ subscriber YouTube channel along the way. I've keynoted frontend talks on stages across the globe, and I now bring that expertise to millions of builders as a Senior Developer Advocate at AWS.
Maya Shavin
Maya Shavin
Salesforce
Talk: Why We Chose Deterministic Workflows Over Autonomous Agents
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
Jemima Abu
CAIS, Product Engineer, UK, London
Talk: The Cost of Accessibility in AI
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.
Cole Medin
Cole Medin
Dynamous, USA
Talk: The Validation-First Loop: How to Ship Production Code with Claude Code
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
Avindra Fernando
Taprobane Consulting, USA
Talk: Playbook-Based E2E Testing with Playwright CLI and AI Agents
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.
Riccardo Erra
Riccardo Erra
Figma, UK
Talk: Beyond Design-to-Code: Building Interfaces in 2027
Riccardo Erra is a developer advocate at Figma. He joined Figma as their first developer advocate in EMEA. Before joining Figma he worked as a software engineer for 15 years with the last few years spent as a design system engineer. At Figma he's empowering engineers to make the most out of the various Figma's tools tailored to developers.
James O'Reilly
James O'Reilly
Google, Developer Relations Engineer, USA
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 Ostrovsky
Daniel Ostrovsky
Payoneer
Talk: Your Agent Failed. You Blamed the Model. You Were Wrong.
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.
 Shrey Shah
Shrey Shah
Microsoft, Seattle
Talk: Stop Writing Skills. Start Training Them.
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 Copilot and Cursor’s earliest users, I now primarily work on building coding agents and 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 Marrs
Nathan Marrs
Grafana Labs, USA
Talk: Your Agent Returned 200. Was It Right?
Nathan is the EM of the Sharing squad at Grafana Labs and is based out of beautiful Monterey, California.
Sachin Malhotra
Sachin Malhotra
Anthropic, USA
Sachin Malhotra is an engineer at Anthropic, where he works on the continuous-integration infrastructure that Anthropic's engineers build and ship on. Keeping CI healthy at a frontier AI lab used to mean a pager and a long queue of toil; today most of that day-to-day runs through a fleet of Claude agents that triage incidents, watch rollouts, review changes, and draft the work, while Sachin sets direction, checks their output, and makes the calls only a human should. He has spoken about agent-driven engineering at the Tech Crunch Disrupt 2026 and has taught hands-on sessions on working with Claude to thousands of engineers at enterprise companies. Previously, he lead machine learning infrastructure at Etsy and DNS systems at Microsoft.
Piotr Karwatka
Piotr Karwatka
Open Mercato, Poland
Talk: Closing the Agentic Loop: How We Keep a 1.1M-Line Codebase Moving 24/7
Piotr Karwatka is a hacker, entrepreneur, and investor focused on enterprise software and healthtech. He co-founded Divante, Vue Storefront, Callstack, and Open Loyalty. One of the first investors in ElevenLabs. He currently leads Open Mercato, an AI-powered open-source ERP/CRM platform, and the investment boutique Catch The Tornado.
Kiriti Badam
Kiriti Badam
OpenAI, USA
Talk: From Issue to Verified PR: Sizing the Harness for Coding Agents
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.
Eric Tech
Eric Tech
Eric Tech, Canada
Eric Tech is a Vancouver-based creator and AI agency founder who teaches practical AI tools and app building on YouTube. His sessions focus on live demonstrations, useful workflows and an honest look at what works and where human review is needed.
Aleksandr Nikolenko
Aleksandr Nikolenko
Perplexity, Armenia
Talk: Delegating Production Migrations to AI Agents: Safe Verification and Shadow Testing Loops
I'm an infrastructure engineer at Perplexity, specializing in secure sandboxing, runtime state management, and engineering automation for autonomous AI agents. I designed Perplexity's "Search as Code" sandboxed environments, which allow agents to safely write and execute complex data-retrieval pipelines. Most recently, I pioneered the automated verification and shadow-testing frameworks used to safely migrate core search pathways from legacy Python to high-performance Rust -successfully deleting 50,000 lines of code under live production traffic with zero regressions.
Lawrence Lu
Lawrence Lu
Code Atlas, San Jose, CA
Talk: From C to Rust with AI: Generation Is Easy, Verification Is Hard
A serial entrepreneur with multiple successful exits, I have more than 25 years of experience building companies and leading technical teams across AI, IoT, networking, programming languages, compilers, and cybersecurity. I founded Array Networks, which later went public in Taiwan and China, and 629 Networks, which was acquired by Proofpoint. Throughout my career, I have also held executive leadership roles at several technology startups, including Array Networks, NebuAd, and Vidder.
Artemis Leonardou
Artemis Leonardou
NOFire AI, Greece
Talk: What I Actually Test Before AI-Written Code Ships to Production
I've been building digital products since I was 14, driven by a deep curiosity to turn ideas into tools that solve real problems. One of my first personal projects was an AI tutor I built to prepare for Greece's national exams. Using it daily helped me score in the top 0.1% nationwide without external instruction. I documented the journey in a YouTube video that's now been viewed over 70,000 times. I now work as a software engineer and DevRel at NOFire AI.
Mateus Paulino
Mateus Paulino
ArcTouch, Brazil
Talk: From Git Diff to Codebase Intelligence: Building an Agentic Code Reviewer
Tech Lead and Senior Software Engineer with over 12 years of experience in Software Development. Bachelor's degree in Information Systems and Master's degree in Emerging Technologies in Education.
Jack Gordley
Jack Gordley
Grafana Labs, USA
Talk: Your Agent Returned 200. Was It Right?
Jack is a Senior Software Engineer working on Agent Observability and Grafana Assistant. He's based out of Seattle, WA.
Haldun Anil
Haldun Anil
Vapi, USA
Talk: All Ship, No Craft
Hal is a Member of Technical Staff at Vapi, where he works on making it dead-simple for customers to build voice agents. Prior to Vapi, Hal was the Founding CTO of a NYC-based startup focused on providing AI-driven social content intelligence. Before that, he was a Staff Engineer at Braze, where he spent most of his 6 years on the Frontend Infrastructure & Experience team building foundational experiences for Braze's main dashboard. These include helping to build out the Beacon design library, migrating from Knockout.js + CoffeeScript to React + TypeScript, improving the performance of data tables by up to 20x, and more. Hal graduated in 2015 from MIT, where he did a double major in Economics and in Management Science.
Navya Agarwal
Navya Agarwal
Adobe, USA
Talk: Agentic UI Without a Backend LLM
Navya Agarwal is a technical expert and innovator specializing in AI-powered product development, developer tools, and accessibility infrastructure. She has spoken at leading international technology conferences and actively contributes to the W3C ARIA Working Group.
Kranthi Manchikanti
Kranthi Manchikanti
Blitzy, Boston
Talk: The Context Window Is Not Your Codebase: Enterprise Lessons for Scaling Coding Agents
Kranthi Manchikanti is an AI engineering and solutions leader focused on taking AI systems from prototypes to production at enterprise scale. He has worked with global organizations on production AI architecture, developer platforms, agentic systems, and large-scale software modernization. He also runs The AI Runtime, a community and publication focused on production AI engineering, Forward Deployed Engineering, and the systems behind reliable AI applications. Kranthi is also an NVIDIA Developer Champion and regularly brings together engineers and AI infrastructure teams through technical workshops, events, and conversations.
Chris Munn
Chris Munn
Braintrust, USA
Talk: Evals for Coding Agents
Chris Munn, Solutions Engineer at Braintrust, works with agent-native companies to measure and improve agent quality at scale. He partners with product and engineering teams building and operating production agents, helping them design evaluation systems, understand agent behavior, and turn observability data into more reliable products.
Eugene Sergueev
Eugene Sergueev
Flo Health Inc, UK
Talk: Your Coding Agent Is Only as Good as Your Company’s Memory
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.
Preethi Selvam
Preethi Selvam
Legooo, India
Talk: Agentic Design Systems: Making Design Systems Machine-Readable for MCP and LLMs
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.
Lorenzo Dal Col
Lorenzo Dal Col
Khronos, Italy
Talk: A Test That Passes for the Wrong Reason: Reliability for AI-Assisted Conformance Testing
Lorenzo Dal Col is the Vulkan and OpenGL Conformance Test Suite tech lead at Khronos and a software consultant specialising in 3D graphics. Over more than fifteen years he has built high-performance software and led engineering teams. He was product manager for ARM's Mali GPU developer tools and has architected real-time 3D engines for VR and AR. He works across Vulkan, OpenGL and Metal, mobile performance, and computer vision, and now builds development processes around AI agents. He is based in Italy and has spoken at GDC, Google I/O, and Nordic Game.
Tisha Chawla
Tisha Chawla
Microsoft, India
Talk: Debugging the Agent That Refuses to Fail the Same Way Twice
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.
Susheem Koul
Susheem Koul
Microsoft, India
Talk: Debugging the Agent That Refuses to Fail the Same Way Twice
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.
Andrea Gao
Andrea Gao
Signal Analytics, USA
Talk: When AI Writes 100% of the Code, What Makes a Good Engineer?
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.
 Shreshth Goyal
Shreshth Goyal
Curefit, India
Talk: Sharing an Agent Shouldn't Scare You. Here's What We Learned.
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.