Personnel Roster

Product & Design Lead at Google AI Studio, pioneering accessible AI-powered development through "vibe coding." Known for viral AI experiments including the controversial children's book [*Alice and Sparkle*](https://time.com/6240569/ai-childrens-book-alice-and-sparkle-artists-unhappy/), created in one weekend using ChatGPT and Midjourney.

Co-founder and Chief Product Officer at Arize AI, pioneering ML observability and LLM evaluation platforms. Forbes 30 Under 30 honoree and Forbes AI Columnist, bringing deep expertise from building production ML infrastructure at Uber, Apple, and TubeMogul.

Managing Partner at Tenex, pioneering output-based compensation models that incentivize AI tool adoption and maximize engineering throughput. Previously founded multiple venture-backed AI companies and scaled Google Cloud AI to millions of developers.

GenAI Products Leader at Northwestern Mutual, pioneering enterprise generative business intelligence (GenBI) at a Fortune 100 financial services company with a "crawl-walk-run" approach to AI adoption in conservative environments.

Research Engineer at Anthropic working on Claude's agent architecture and the Skills system. Co-author of influential articles on building effective agents and the Skills framework that enables agents to dynamically load procedural knowledge.

Co-founder and CTO of Amp Code, building next-generation AI coding agents with multi-agent architecture. Previously co-founded Sourcegraph, the enterprise code intelligence platform serving 4/5 FAANG companies.

Works in Startups Applied AI at OpenAI as a Solutions Architect, focusing on helping developers build production-grade coding agents. Former Y Combinator team member, bringing startup mindset to OpenAI's developer tools and agent frameworks.

Solutions Architect for Startups at OpenAI, helping early-stage companies leverage OpenAI's APIs and models. Serial entrepreneur with 20+ years building software products, including co-founding RescueTime (YC W08) and launching Mighty AI and MessageYes at Madrona Venture Labs.

Member of Technical Staff at OpenAI's fine-tuning team, pioneering Agent Reinforcement Fine-Tuning (ARFT) - the industry's first approach enabling agents to access external tools and APIs during training. Leading the development of custom reward functions and tool-aware training systems that make specialized AI agents possible.

CEO and co-founder of Every, a radically AI-native company generating 7-figure revenue with just 15 employees across 6 business units and 4 software products. Prolific writer exploring AI transformation through his Chain of Thought newsletter and AI & I podcast.

Founder and CEO of HumanLayer, pioneering production-grade AI agent systems with built-in human oversight. Creator of the 12-Factor Agents framework for building reliable autonomous systems in complex codebases.

CTO and Co-Founder of Poolside, building AI agents that can reason about and modify complex codebases at scale. Previously founded source{d} (AI for code) and Athenian (data-enabled engineering platform). Co-hosts the Developing Leadership podcast with former GitHub CTO Jason Warner.

Co-Founder and CTO at Factory, building autonomous AI agents (Droids) that automate the software development lifecycle. Pioneer in agent-ready codebase architecture and verification systems for reliable AI-driven development.

Wall Street Journal bestselling author and founder of IT Revolution, pioneering DevOps transformation and now leading the exploration of AI-assisted software development. Author of The Phoenix Project, The DevOps Handbook, Accelerate, and Wiring the Winning Organization—books that have collectively sold over 1 million copies.

Co-founder and CEO of Qodo (formerly CodiumAI), an AI-powered code quality platform serving 1M+ developers. Previously founded Visualead (acquired by Alibaba for $50M) and led Alibaba's Machine Vision Lab. Over 20 years of experience in ML and software engineering from Technion.

Research Manager at Meta AI leading FAIR's code generation research in North America, also serving as CS Faculty at the University of Pennsylvania. Creator of CWM (Code World Models), pioneering the use of execution traces and behavioral data in neural code generation.

Staff Engineer at Netflix specializing in AI/ML systems at scale and managing software complexity in massive codebases. Author of [The Bug in Your Code](https://www.arthropod.software), exploring the intersection of software development, AI, and the human dimensions of engineering.

Product Lead at Google Labs building Jules, an autonomous AI coding agent that operates asynchronously in cloud environments. Previously at Google Search, his journey into generative AI began with Stable Diffusion, leading him to spearhead one of the most ambitious coding agent projects in tech.

Member of Technical Staff at METR, leading groundbreaking research on AI capability measurement and evaluation. Previously PhD student in Economics at NYU and researcher at Harvard, bringing rigorous empirical methods to AI safety research.

Deputy CTO at DX, leading engineering intelligence and AI adoption strategy. With 20+ years in software engineering, he's a thought leader in developer experience, platform engineering, and AI-assisted development measurement.

Product Manager at Google working on the Gemini API and Google AI Studio. Previously at GitHub Education building GitHub Classroom. University of Michigan graduate based in New York City.

Head of API Engineering at Anthropic, leading the Claude Developer Platform encompassing APIs, SDKs, documentation, and console experiences. Previously Senior Director of Engineering at Betterment and Head of Engineering at Stripe. Expertise in platform development and building developer-facing products at scale.

Director of Product at Google Labs leading AI Developer Assistants (AIDA). Previously VP of Product at Vercel, Senior Director at GitHub, and product leader at Heroku. Over a decade of experience building developer tools and platforms that developers love.

Engineer at Google DeepMind leading development of Antigravity, the company's agent-first IDE. Previously founding team member at Codeium (acquired by Google for $2.4B) where he scaled the product from zero to over 1M users and a $1.25B valuation. Princeton CS graduate with expertise in AI-powered developer tools, autonomous agents, and building products for frontier models.

Founder of Sizzy, a developer browser built for AI-assisted workflows. Developer, entrepreneur, and educator known for his energetic advocacy of "vibe coding"—collaborative development with AI that prioritizes natural interaction over syntax precision. Creator of React Academy, Benji, Zero to Shipped, and other tools.

Head of AI Education at Cursor, teaching developers how to build with AI coding tools. Previously led Developer Experience at Vercel, growing Next.js to 1.3M+ active developers and helping scale Vercel to $200M+ ARR. Educator focused on making technology easy to understand through courses, videos, and essays.

Senior Director of Generative AI and Head of Developer Experience at Bloomberg LP, leading AI infrastructure deployment across 9,000+ engineers. Brings practical insights from implementing AI tools and agent systems in a mission-critical financial services environment with extensive brownfield systems.

Co-Founder and Chief Architect at Applied Compute, building production-grade reinforcement learning infrastructure for training AI agents at scale. Previously worked at OpenAI on reasoning models, coding AI, and deep research tools including the o1 model. Stanford graduate (2021-2023) specializing in ML systems and infrastructure.

Group Product Manager at Zapier leading the AI Code Gen initiative, pioneering the revolutionary "support team as coders" model where customer support specialists use AI tools to ship production code. PhD from University of St. Andrews, former Senior PM at Human API and Airship. Based in Portland, Oregon.

Member of Technical Staff in Applied AI at Anthropic, creator of the [Model Context Protocol (MCP)](https://www.anthropic.com/news/model-context-protocol), and key contributor to [Claude Skills](https://www.anthropic.com/news/skills) and the Claude Agent SDK. Previously at Tecton, Scale AI, and Berkeley AI Research. UC Berkeley CS + Design.

Senior Partner in McKinsey's Bay Area office, specializing in software product development, digital strategy, and AI-enabled organizational transformation. MIT Computer Science graduate and former Swedish Armed Forces Soldier of the Year, leading McKinsey's research on how development practices must evolve beyond Agile for the AI era.

Executive Distinguished Engineer for Developer Experience at Capital One with 20+ years experience in software engineering. Author of "Code Simplicity: The Fundamentals of Software" and thought leader on making developer experience work for both humans and AI agents in enterprise environments.

President & Head of AI at Replit, pioneering autonomous agents that create and deploy software. Previously Head of Applied Research at Google Labs and Google X, contributing to PaLM's coding capabilities. Stanford instructor who began applying Transformers to code in 2018.

Head of Solutions Engineering at Stigg, leading implementation and optimization of monetization infrastructure for AI products. Based in Brooklyn, NY, with expertise in financial architecture, credit systems, and billing solutions for modern SaaS and AI-powered applications.

Co-Founder of Gimlet Labs, building AI infrastructure that makes agentic workloads 10X more efficient. Previously Founding Engineer at Pixie Labs (acquired by New Relic) and Observe Inc. Brown University Computer Engineering graduate.

Business Analyst at McKinsey & Company specializing in AI's impact on software development. MIT Media Lab graduate (MEng & BS in Computer Science) who brings unique perspective combining AI research, human-computer interaction, and organizational transformation.

Founder of Superintelligent and host of The AI Daily Brief podcast, bringing data-driven insights to enterprise AI adoption. Known for grounding AI discussions in real-world ROI measurement and challenging hype with actual deployment metrics. Previously built knowledge graph infrastructure at Meta.

Head of AI at Cline, leading development of the open-source AI coding assistant that's approaching 2 million downloads. Previously on Meta's knowledge graph team, bringing deep technical expertise to agent development and benchmark creation.

LLM Algorithm Engineer at MiniMax specializing in large language model development and optimization. Contributed to the MiniMax-01 foundation model and M2 efficient agentic model, with research background in self-supervised learning and applied representation learning from NYU.

Co-founder and CTO at Applied Compute, building production-ready reinforcement learning infrastructure. Former OpenAI researcher who developed reasoning models including o1, with expertise in distributed RL training and competitive programming systems.

Builder in Residence at Amp, the AI coding agent built by Sourcegraph. 25-year veteran entrepreneur with multiple exits, including Treehouse (taught over 1M people to code). Creator of the AI Dev Tasks framework (6.9k+ GitHub stars).

Head of Engineering for AI at The Browser Company, leading the evolution from Arc to Dia—the next generation of AI-native browsers. Previously spent 6 years as a senior engineer at Instagram/Facebook, bringing expertise in building products at scale. At the AI Engineering Code Summit, shared critical lessons about integrating AI into beloved products and building infrastructure for rapid iteration.

Head of Engineering at Sourcegraph leading development of Amp, an enterprise agentic coding agent. Co-authoring "Vibe Coding" with Gene Kim and Dario Amodei. Creator of Beads, the open-source coding agent memory system.

Founder of AI Engineer community and Latent Space podcast (Top 10 US Tech, 2M+ listeners). Creator of Smol AI, building LLM-powered research agents. Previously led developer experience at AWS, Netlify, Temporal, and Airbyte. Now at Cognition AI.

Head of AI Agents & MCP at WorkOS and Research Fellow at Stanford's Loyal Agents Initiative. Recently completed PhD at MIT (2025) on "Private, Verifiable, and Auditable AI Systems." Leading enterprise AI security, identity management, and authentication infrastructure.

Research Lead at Prime Intellect, building decentralized compute infrastructure for distributed AI training. Creator of the [verifiers toolkit](https://github.com/PrimeIntellect-ai/verifiers) for RL environments. Previously on Morgan Stanley's ML Research team, bringing deep expertise in reinforcement learning and multi-agent systems.

Member of Technical Staff at OpenAI, pioneering Agent Reinforcement Fine-Tuning (ARFT) alongside Cathy Zhou. Leads breakthrough work enabling domain-specific coding agents that dramatically outperform frontier models using minimal training data.

Researcher at Stanford University leading groundbreaking studies on software engineering productivity. Analyzed 120,000+ engineers across hundreds of companies to quantify AI's real impact on developer work. Former Chief of Staff at DHL leading digital transformation for 6,000+ engineers. Olympic Weightlifting National Champion and Stanford MBA (merit scholar).