InfoQ Homepage Agile Content on InfoQ
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Trustworthy Productivity: Securing AI-Accelerated Development
Sriram Madapusi Vasudevan explains how to secure autonomous AI agents, sharing enterprise patterns like provenance gates and sandboxed runtimes to defend the ReAct loop against rogue execution.
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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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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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Architecting a Centralized Platform for Data Deletion at Netflix
Netflix Engineers Vidhya Arvind and Shawn Liu discuss the pillars of safe, large-scale data deletion. They explain strategies to eliminate data ghosts and manage tombstone resource contention.
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Building Evals for AI Adoption: from Principles to Practice
Mallika Rao explains how evaluation debt silently triggers regressions in distributed AI systems. She shares a five-layer evaluation stack to align metrics directly with long-term user trust.
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From Legacy to Sovereignty: Driving the Future of Insurance through Platform Engineering
Sergiu Petean explains how to navigate the evolution from legacy systems to platform engineering. He shares data-driven insights on balancing DORA metrics, compliance, and strategic AI integration.
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Product Thinking for Cloud Native Engineers
Stéphane Di Cesare and Cat Morris discuss applying product thinking to engineering. They explain how focusing on outcomes over outputs helps engineers demonstrate value and secure promotions.
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Leadership in AI-Assisted Engineering
Justin Reock explains how to move beyond AI hype using data-driven frameworks. He shares research on the AI learning curve, the Cobra Effect in metrics, and strategies to augment developer throughput.
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The Human Scalability Problem: Why Your Teams Don’t Scale Like Your Code
Charlotte de Jong Schouwenburg explains why scaling engineering teams often slows down delivery. She shares how to solve human latency by building trust and psychological safety across silos.
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Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Sudeep Das and Pradeep Muthukrishnan discuss how DoorDash combines LLMs with deep learning to move from "classic" collaborative filtering to "hyper-personalization" in real-time commerce.
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Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?
Chris Tacey-Green explains how to build resilient event-driven architectures in regulated banking, covering transactional integrity, idempotency patterns, and strategies to avoid "poisonous" messages.
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From VR to Flat Screens: Bridging the Input and Immersion Gap
Dany Lepage explains how Lucky VR scaled "Vegas Infinite" from Meta Quest to PS5, PC, and mobile. He shares the technical hurdles of cross-play, dual avatar systems, and the "product fit" trap.
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