People

Developer of ChatWithPDF and Archon, whose work spans document retrieval, computer-use model training and the economics of AI applications.

Shawn Wang, known as swyx, writes about AI engineering, co-founded the AI Engineer conference series, and experiments with software-development agents.

EntreConnect co-founder and AI community organizer, identified by AWS Events in 2026 as MiniMax’s Head of North America.

Computer vision researcher whose collaborative work addresses control, motion coherence and customization in image and video generation.

Medical AI researcher and Sophont co-founder working on open multimodal foundation models, with earlier contributions to MedARC, neuroAI research, and open-source machine learning.

AI growth and developer education practitioner whose software factory argument extends autonomy beyond coding to the whole development lifecycle.

Engineer on Anthropic’s Claude Code team whose public work explains how to adapt agent context, verify generated software, and keep human judgment involved.

Software developer and creator of the T3 Stack, building AI chat and agent-development tools and arguing that AI expands what individual developers can attempt.

Anthropic’s MCP product manager in 2025, explaining protocol trade-offs, task-oriented tools, and opportunities for server builders.

OpenAI’s Codex leader on practical coding agents, the shift toward broader computer work, and keeping users’ understanding intact.

AI researcher whose work spans Llama post-training, learning from human preferences, tool-using language models and practical agent evaluation.

Positron AI co-founder focused on the economics of transformer inference, memory-system design, and shipping adaptable hardware before committing to custom silicon.

Hugging Face co-founder and Chief Science Officer whose work spans open-source machine-learning tools and the question of how AI might produce new scientific knowledge.

Developer relations engineer focused on AI audio, voice interfaces, and practical examples that help developers ship applications.

Amp co-founder and co-creator, software engineer, and author who explains coding agents through working implementations and accounts of model-driven engineering decisions.

Machine learning systems researcher behind XGBoost, Apache TVM and MLC-LLM, and co-creator of Apache MXNet.

Researcher behind bitsandbytes and coauthor of QLoRA, whose work spans memory-efficient language models and open coding agents.

AutoGPT’s founder described using programming techniques from games to chain language-model predictions, and advocated open source as a way to broaden access to AI.

The FlashAttention and Mamba researcher designs machine-learning algorithms around GPU memory, parallel execution, and the cost of generating tokens.

Shared inventorship in Intuit-assigned automated prompt improvement, financial AI, and public views on domain expertise and data.

AI engineer at Google Labs whose NotebookLM work spans conversational audio, visual overviews and an agentic research workspace.

Co-founder of Exafunction and leader of Codeium’s development into Windsurf, whose work spans GPU infrastructure, coding models and agentic developer tools.

Cofounder of Exafunction and Codeium who helped lead the move from GPU infrastructure to agentic coding in Windsurf, then joined Google DeepMind.

AI educator and community organizer whose work connects foundational research, reasoning models and practical questions about interpretability.

Crixet founder whose software became Prism at OpenAI, with earlier work making technical ideas understandable through interactive visualization.

Creator of Moondream and LNQA, focused on compact vision-language models, practical deployment and reasoning grounded in images.

AWS software development manager whose work and public demonstrations span AI-assisted development, testing, and observability.

Kepler co-founder and CEO working on verifiable financial AI and forward deployed engineering that feeds customer insight back into the product.

Together AI co-founder focused on open, user-owned AI, efficient computing, and the economics of production inference.

HackerRank’s co-founder and CEO on assessing AI-assisted developers, the limits of coding benchmarks, and hiring for demonstrated skill.