InfoQ Homepage Programming Content on InfoQ
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Maximizing Deep Learning Performance on CPUs using Modern Architectures
Bibek Bhattarai demystifies Intel AMX, explaining how this CPU architecture accelerates deep learning workloads via low-precision matrix multiplication and efficient data handling.
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High Performance Serverless with Rust
Benjamen Pyle discusses high-performance serverless with Rust on AWS Lambda, covering multi-Lambda projects, the Lambda runtime and SDK, and IaC for cost-effective, scalable solutions.
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Enhance LLMs’ Explainability and Trustworthiness with Knowledge Graphs
Leann Chen discusses how knowledge graphs provide structured data to enhance LLM accuracy, tackling common challenges like hallucinations and the "lost-in-the-middle" phenomenon in RAG systems.
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Designing for Defense: Architecting APIs with Zero Trust Principles
Renato Losio and security experts discuss designing for defense and architecting APIs with Zero Trust principles, covering challenges, common vulnerabilities, and practical advice for developers.
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From Junior to Staff and beyond: Lessons Learned
Bruno Rey discusses career growth in tech, sharing how to accelerate your path to staff engineer and effectively mentor others, drawing on 17 years of professional experience.
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AI Agents & LLMs: Scaling the Next Wave of Automation
The panelists discuss AI agents and LLMs, exploring their definitions, architectures, use cases, reliability, and impact on the SDLC and future of automation.
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A Framework for Building Micro Metrics for LLM System Evaluation
Denys Linkov discusses critical lessons for senior developers and leaders on building robust LLM systems and actionable metrics that prevent production issues and drive business value.
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Rust: a Productive Language for Writing Database Applications
Carl Lerche discusses Rust's potential for higher-level applications & shares productivity tips.
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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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