InfoQ Homepage Programming Content on InfoQ
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WASM in the Enterprise: Secure, Portable, and Ready for Business
Andrea Peruffo discusses WebAssembly's role on the server, showcasing how Chicory enables secure, portable, and performant polyglot applications, sharing key enterprise use cases.
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Humans in the Loop: Engineering Leadership in a Chaotic Industry
Michelle Brush discusses engineering leadership in the age of AI/ML and automation.
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AI-Driven Software Delivery: Leveraging Lean, ChOP & LLMs to Create More Effective Learning Experiences at QCon
Wes Reisz details building a RAG-powered QCon certification in 4 weeks. He dives into the serverless pipeline, RAG architecture, lessons on using supervised coding agents, and Lean thinking.
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Growing and Cultivating Strong Machine Learning Engineers
Vivek Gupta explains how to nourish and cultivate Machine Learning engineers, detailing the unique production-ML skills required for scaling, governance, and LLMOps.
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Achieving Precision in AI: Retrieving the Right Data Using AI Agents
Adi Polak discusses achieving precision in GenAI by moving beyond RAG to Agentic RAG. She details agent patterns, feedback loops, and using data streaming architectures to scale real-time AI.
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Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes
Ricardo Ferreira discusses five advanced Vector Sync Patterns to tackle multi-dimensional vector staleness & integration challenges in modern AI/microservices architectures.
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The Ideal Micro-Frontends Platform
Luca Mezzalira explains micro-frontends as a strategy to scale frontend architecture and organization. Learn the four key architectural decisions (Identify, Compose, Route, Communicate).
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Why Observability Matters (More!) with AI Applications
Sally O'Malley shares how to build an AI observability stack with open-source tools (Prometheus, Grafana, OpenTelemetry, Tempo, vLLM/Llama Stack). Learn to track performance, quality and cost signals.
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Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains how systems thinking and Causal Flow Diagrams are tools to navigate the unintended consequences of increasingly complex multi-agent AI systems and ensure responsible AI.
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Deploy MultiModal RAG Systems with vLLM
Stephen Batifol explains the core concepts of multimodal RAG systems, vector search indexes (HNSW, IVF), and embedding model selection. He details vLLM and Pixtral for optimized inference..
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Beyond the Hype: Architecting Systems with Agentic AI
The panelists discuss architecting with Agentic AI: the hype, the reality, and how to build production-ready, trustworthy systems with guardrails, observability, and continual relevance.
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Your Roadmap to a Fulfilling Career: the Pillars of Staff+ Growth
David Grizzanti shares a roadmap for senior software developers and architects, explaining how to navigate the staff-plus career path and find fulfillment beyond a title.