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Topics

Development

Featured in Development

From VR to Flat Screens: Bridging the Input and Immersion Gap

Dany Lepage discusses the architectural journey of porting a hit VR title to seven non-VR platforms. He explains how his team solved the challenges of cross-progression, diverse input paradigms, and maintaining release velocity across Steam, iOS, and PlayStation. Beyond the tech, he shares candid lessons on the "product fit" gap when translating immersive social presence to 2D screens.

All in development

Architecture & Design

Featured in Architecture & Design

Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky

Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

The AI Gateway: Scaling Centralized Inference Across Decentralized Teams

Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control. Explore open-source solutions like LiteLLM and Doubleword to streamline your AI infra.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Product Thinking for Cloud Native Engineers

Stéphane Di Cesare and Cat Morris share how engineers can move from being a "cost center" to a value driver using product discovery. They explain the "Double Diamond" framework and why identifying user problems must precede building solutions. Learn to choose the right metrics, build customer empathy through shadowing, and use business context to maximize the impact of your technical work.

All in culture-methods

DevOps

Featured in DevOps

The Mathematics of Backlogs: Capacity Planning for Queue Recovery

Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.

All in devops

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InfoQ Homepage Interviews John Lam About IronRuby

John Lam About IronRuby

17:03

Bio

John Lam is Program Manager on the Dynamic Language Runtime team at Microsoft. He created RubyCLR, and is now working on the team that is creating IronRuby, Microsoft's implementation of Ruby.

About the conference

Aug 06, 2008

Interview with

John Lam

by

Greg Young

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