InfoQ Homepage Programming Content on InfoQ
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What to Pack for Your GenAI Adventure
Soledad Alborno discusses essential skills and new tools for building successful Generative AI products.
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Legacy Modernization: Architecting Realtime Systems around a Mainframe
Jason Roberts and Sonia Mathew discuss architecting resilient real-time systems with mainframes using CDC, DDD, EDA, and Team Topologies.
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Scaling Large Language Model Serving Infrastructure at Meta
Ye (Charlotte) Qi explains key considerations for optimizing LLM inference, including hardware, latency, and production scaling strategies.
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Clojure's Journey: From Simplicity to Enterprise Maturity
Jordan Miller explains Clojure's evolution, from Rich Hickey's vision to its enterprise adoption, highlighting key tools.
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Taming the Configuration Beast with Pkl!
Dan Chao explains Pkl's benefits for infrastructure as code, contrasting it with complex YAML.
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Ultra-Fast In-Memory Database Applications with Java
Markus Kett shares how to build the fastest database applications using Java & EclipseStore, bypassing traditional database limitations.
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Moving Your Bugs Forward in Time: Language Trends That Help You Catch Your Bugs at Build Time Instead of Run Time
Chris Price explains how moving bug detection to build time with modern language features boosts code maintainability and prevents costly runtime errors.
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Lessons & Best Practices from Leading the Serverless First Journey at CapitalOne
George Mao shares Capital One's serverless journey, highlighting cost optimization and development tips.
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How Green is Green: LLMs to Understand Climate Disclosure at Scale
Leo Browning explains the journey of developing a Retrieval Augmented Generation (RAG) system at a climate-focused startup.
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GenAI for Productivity
Mandy Gu shares Wealthsimple's journey leveraging generative AI for productivity and operational optimization.
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LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries
Stefania Chaplin and Azhir Mahmood discuss responsible, secure, and explainable AI in regulated industries. Learn MLOps, legislation, and future trends.
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Building Tomorrow’s Legacy Code, Today
Shawna Martell explains how to manage legacy code, tech debt, & build resilient systems for the future.
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