InfoQ Homepage Presentations
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Supporting Engineering Productivity for All
Emerson Murphy-Hill shares data-driven insights from Google on what truly drives engineer productivity, from psychological safety to the surprising lack of correlation with code complexity.
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Building an Internal Developer Portal that Empowers Developers
Travis Gosselin explains how internal developer portals combat productivity challenges and empower engineers by reducing friction and improving fulfillment.
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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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Ambiguous Roles and Ambiguous Problems: Navigating Life as a Principal Engineer
Will Larson and Dan Fike discuss how senior engineers can navigate the ambiguous, high-stakes problems that define principal-level work.
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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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Advanced Message Queuing Politics
John O'Hara discusses the 18-year journey of AMQP, from a bank's internal need to an ISO standard.
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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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