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Topics

Development

Featured in Development

Developing Meta's Orion AR Glasses

Jinsong Yu shares deep architectural insights into the Orion AR glasses, detailing the use of 11 custom microcontrollers for thermal dissipation, the SLAM/VIO needed for world-locked rendering, and input fusion (EMG, eye/hand tracking). He concludes with critical lessons for technical leaders on setting direction, managing complexity through testing, and strategic hardware-software co-design.

All in development

Architecture & Design

Featured in Architecture & Design

Building Resilient Platforms: Insights from Over Twenty Years in Mission-Critical Infrastructure

Building resilient platforms requires understanding the art and science of creating infrastructure that others depend on for critical applications. This perspective applies to anyone who builds software consumed by others at scale. Whether developing infrastructure platforms, software development platforms, or messaging systems, principles address how to build software that others consume at scale

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Reducing False Positives in Retrieval-Augmented Generation (RAG) Semantic Caching: A Banking Case Study

In this article, author Elakkiya Daivam discusses why Retrieval Augmented Generation (RAG) and semantic caching techniques are powerful levers for reducing false positives in AI powered applications. She shares the insights from a production-grade evaluation with 1,000 query variations tested across seven bi-encoder models.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

AI Amplifies Team Strengths and Weaknesses in Software Development

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Jon Kern and Anita Zbieg about how AI amplifies both delivery efficiency and weaknesses in development teams, the importance of fundamental collaboration practices, and maintaining holistic system thinking.

All in culture-methods

DevOps

Featured in DevOps

When Reverse Proxies Surprise You: Hard Lessons from Operating at Scale

Operating massive reverse proxy fleets reveals hard lessons: optimizations that work on smaller systems fail at scale; mundane oversights like missing commas cause major outages; and abstractions meant to simplify become hidden fragility points. Success requires profiling on target hardware, relentlessly monitoring boring details, keeping hot paths lean, and trusting instrumentation over theory.

All in devops

Events

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QCon San Francisco 2025

Learn how senior teams scaled GenAI search, migrated ML systems, & built global streaming platforms.

Register now.

QCon AI New York 2025

Go from AI demos to real engineering impact. Learn to embed LLMs, govern & scale securely.

Early Bird ends Dec 9.

QCon London 2026

Benchmark against top engineering teams. Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends Dec 9.

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

Launch pricing ends Dec 9.

InfoQ Homepage Interviews Joe Armstrong About Erlang

Joe Armstrong About Erlang

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32:06

Bio

Joe Armstrong is the principal inventor of Erlang and coined the term "Concurrency Oriented Programming". At Ericsson he developed Erlang and was chief architect of the Erlang/OTP system. In 1998 he formed Bluetail, which developed all its products in Erlang. In 2003 he obtain his PhD from the Royal Institute of Technology, Stockholm. He is author of the book "Software for a concurrent world".

About the conference

Nov 15, 2008

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