InfoQ Homepage Artificial Intelligence Content on InfoQ
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Deepfakes, Disinformation, and AI Content are Taking over the Internet
Shuman Ghosemajumder discusses the evolution of AI, the rise of "AI slop," and how generative tools have become the ultimate weapon for automated cybercrime, deepfakes, and credential stuffing.
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Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Sudeep Das and Pradeep Muthukrishnan discuss how DoorDash combines LLMs with deep learning to move from "classic" collaborative filtering to "hyper-personalization" in real-time commerce.
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Choosing Your AI Copilot: Maximizing Developer Productivity
Sepehr Khosravi explains how to achieve 15-20% productivity gains using Cursor and Claude Code, sharing advanced tips for AI agents, custom rules, and reassessing software development assumptions.
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State of Play: AI Coding Assistants
Birgitta Böckeler explains the shift from basic autocomplete to autonomous agents. She shares how context engineering, subagents, and "harness engineering" are redefining senior developer roles.
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Directing a Swarm of Agents for Fun and Profit
Adrian Cockcroft shares how he uses AI agents to deliver days of coding in minutes. He discusses the shift toward "NoDev" and why engineering leaders must evolve into directors of agentic swarms.
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From Symptom Checkers to Smart Chatbots: the Role of AI in Virtual Care
Andre Ribeiro discusses the architecture of Healthily’s AI symptom checker. He explains how Bayesian inference and RAG models bridge the gap between medical insights and confident patient action.
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Four Patterns of AI Native Development
Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.
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Busting AI Myths and Embracing Realities in Privacy & Security
Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
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AI Innovation in 2025 and beyond
Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.
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DevOps Modernization: AI Agents, Intelligent Observability and Automation
The panelists explain how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations.
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Building Embedding Models for Large-Scale Real-World Applications
Sahil Dua explains the architecture and training of embedding models. He shares practical tips for distilling large models and scaling RAG applications for real-time production environments.
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Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya explains how Netflix unifies search and recommendations using the "UniCoRn" model and leverages Transformer-based foundation models to personalize the experience for 300M+ users.
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