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Join us at QCon San Francisco 2025 (Nov 17–21) for a three-day deep dive into the future of software development, exploring AI’s transformative impact. As a program committee member, I’m excited to showcase tracks that tackle real-world challenges, featuring industry leaders and sessions on AI, LLMs, and engineering mindsets. Don’t miss out!
Stanford's Paper2Agent framework revolutionizes research by transforming static papers into interactive AI agents that execute analyses and respond to queries. Leveraging the Model Context Protocol, it simplifies reproducibility and enhances accessibility, empowering users with dynamic, autonomous tools for deeper scientific exploration and understanding.
Introducing Google's Genkit Extension for Gemini CLI: a groundbreaking tool that delivers framework-aware AI assistance directly to the terminal. Streamline your Genkit application development with context-aware code generation, debugging, and best practices—all without leaving the command line. Unleash productivity and innovation in building generative AI applications.
Nimisha Asthagiri explains the critical need for responsible AI in complex multi-agent systems. She shares practical techniques for engineering leaders and architects, applying systems thinking and Causal Flow Diagrams. She shows how these methods help predict and mitigate the unintended consequences and structural risks inherent in autonomous, learning agents, using a scheduler agent example.
GitHub has recently launched its Model Context Protocol (MCP) Registry, designed to help developers discover and use the AI tools directly from within their working environment. The registry currently lists over 40 MCP servers from Microsoft, GitHub, Dynatrace, Terraform, and many others.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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10 AI-Related Standout Sessions at QCon San Francisco 2025
Join us at QCon San Francisco 2025 (Nov 17–21) for a three-day deep dive into the future of software development, exploring AI’s transformative impact. As a program committee member, I’m excited to showcase tracks that tackle real-world challenges, featuring industry leaders and sessions on AI, LLMs, and engineering mindsets. Don’t miss out!
By Hien LuuPaper2Agent Converts Scientific Papers Into Interactive AI Agents
Stanford's Paper2Agent framework revolutionizes research by transforming static papers into interactive AI agents that execute analyses and respond to queries. Leveraging the Model Context Protocol, it simplifies reproducibility and enhances accessibility, empowering users with dynamic, autonomous tools for deeper scientific exploration and understanding.
By Robert KrzaczyńskiGenkit Extension for Gemini CLI Brings Framework-Aware AI Assistance to the Terminal
Introducing Google's Genkit Extension for Gemini CLI: a groundbreaking tool that delivers framework-aware AI assistance directly to the terminal. Streamline your Genkit application development with context-aware code generation, debugging, and best practices—all without leaving the command line. Unleash productivity and innovation in building generative AI applications.
By Hien LuuPresentation: Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains the critical need for responsible AI in complex multi-agent systems. She shares practical techniques for engineering leaders and architects, applying systems thinking and Causal Flow Diagrams. She shows how these methods help predict and mitigate the unintended consequences and structural risks inherent in autonomous, learning agents, using a scheduler agent example.
By Nimisha AsthagiriGitHub MCP Registry Offers a Central Hub for Discovering and Deploying MCP Servers
GitHub has recently launched its Model Context Protocol (MCP) Registry, designed to help developers discover and use the AI tools directly from within their working environment. The registry currently lists over 40 MCP servers from Microsoft, GitHub, Dynatrace, Terraform, and many others.
By Sergio De Simone