InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Rules for Understanding Language Models
Naomi Saphra explains why language models act like populations rather than individuals. She discusses how data diversity drives generalization, why LLMs mirror users and how tokenizers alter behavior.
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The Time It Wasn't DNS
Sean Klein explains how Azure handles massive outages using modern incident analysis. Moving past the "Five Whys," he shares how systemic factors—not operator error—caused the 2023 global WAN outage.
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Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service
Alina Krasavina discusses how Delivery Hero built an in-house tracking platform to replace Google Analytics. She explains their architecture, load testing, and how they cut storage costs by 75%.
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AI Agents to Make Sense of Data at OpenAI
OpenAI’s Bonnie Xu explains Kepler, their internal AI data analyst agent built on MCP. She shares how they scale data discovery across 600+ PB using automated context, RAG, and AST-based evals.
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Write-Ahead Intent Log: a Foundation for Efficient CDC at Scale
Vinay Chella and Akshat Goel explain why they outgrew traditional CDC at scale. They share how they built Write-Ahead Intent Log (WAIL) using a proxy layer to decouple data replication.
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From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us about Outlasting the Cycle
Aditya Kumarakrishnan discusses "Agents: The Missing Manual," sharing four historically grounded ideas to build modular, durable, and hyper-tenant AI agent architectures.
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Automating the Web with MCP: Infra that Doesn’t Break
Paul Klein explains how to automate the web with MCP. He shares architectural strategies for running multi-tenant, cloud-hosted Chromium sandboxes to power AI browsing agents.
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Practical Performance Tuning for Serverless Java on AWS
AWS Hero Vadym Kazulkin discusses optimizing serverless Java on AWS Lambda. He explains how to slash cold start latencies below one second using managed SnapStart, priming, and GraalVM AOT.
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Moving Mountains: Migrating Legacy Code in Weeks Instead of Years
Principal AI Engineer David Stein explains how ServiceTitan uses AI coding agents to automate large-scale legacy code migrations, compressing quarters of technical debt into weeks.
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Building and Scaling UI Systems for Internal Tools at Meta
Meta frontend engineer Cindy Zhang explains how a lean team scaled an internal UI design system to over 10,000 tools, sharing technical strategies for monorepo codemods and community intake.
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Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale
Adi Polak explains how to scale agentic AI by shifting from stateless prompt engineering to stateful, low-latency context engineering with Apache Kafka and Flink.
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Confidently Automating Changes across a Diverse Fleet
Netflix engineer Casey Bleifer explains how the company is automating fleet-wide code changes and migrations at scale, driving adoption timelines down from months to mere days with confidence.
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