InfoQ Homepage Programming Content on InfoQ
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Making AI Agents Work for You (and Your Team)
Hannah Foxwell explains how to design agent teams for high-quality output and shares a vision where AI agents handle toil, freeing humans to focus on creativity and customer relationships.
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Fearless Programming with Rust
Senyo Simpson explains how Rust's values—performance, safety, and correctness—enable developers to program fearlessly by shifting the burden of discipline from the developer to the compiler.
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Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure
Matthew Liste the executive VP and global head of infrastructure for American Express, discusses the 11 key principles for building resilient, scalable, and secure platforms.
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10 Reasons Your Multi-Agent Workflows Fail and What You Can Do about It
Victor Dibia discusses multi-agent systems, detailing how to build them with AutoGen, common failure points, and strategic approaches for senior software developers and engineering leaders.
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From Autocomplete to Agents: AI Coding State of Play
Birgitta Böckeler explains how to use AI coding assistants effectively and responsibly, from fighting complacency to fostering a healthy team culture.
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Key Lessons from Shipping AI Products beyond the Hype
Phil Calçado shares key learnings from building and scaling an AI startup, offering a product-centric approach for engineering leaders and architects navigating generative AI.
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Optimizing Custom Workloads with RISC-V
Ludovic Henry shares how RISC-V's open, modular architecture optimizes custom workloads, addressing urgent AI hardware demand & proprietary limits.
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The Form of AI
Savannah Kunovsky, who leads IDEO's Emerging Tech Lab, explains how combining engineering rigor with design thinking creates impactful, user-centered AI products.
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Refactoring Stubborn, Legacy Codebases
The speakers explain Stripe's successful approach to refactoring stubborn Ruby monoliths. They share lessons on improving developer experience, code quality, and maintainability.
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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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