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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.