InfoQ Homepage QCon London 2026 Content on InfoQ
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The Reinvention of the Dev Team
Hannah Foxwell explains how agentic AI reshapes dev teams, urging software leaders to rethink team structures, eliminate delivery friction, and focus on human-centric value and reliability.
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Managing Asynchronous APIs at Scale
Ian Cooper explains how to scale event-driven architectures by managing asynchronous APIs with AsyncAPI, schema registries, and spec-driven infrastructure provisioning.
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Context is the New Code
Patrick Debois explains how treating context like code transforms the Software Development Life Cycle into a Context Development Life Cycle to scale AI agent workflows reliably across teams.
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Spritely: Infrastructure for the Future of the Internet
Christine Lemmer-Webber and David Thompson discuss Spritely's vision for a decentralized web, explaining capability-based security, actor models, and local-first tech to build resilient apps.
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APIs for Agents: Rethinking API Programs in the MCP Era
Jim Gough and Andreea Niculcea explain how Morgan Stanley leverages Architecture as Code with CALM and MCP to scale secure, compliant API platforms for AI agents and future protocols like A2A.
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Complexity and Creativity in Software Engineering
Phillip Mortimer explains why all code is now write-only in the AI era, detailing how software leaders must shift focus from line-by-line PR reviews to detailed tests and self-healing architecture.
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Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Sarah Deitke shares how Duolingo scales AI adoption through engineering literacy programs and demonstrates how AI-driven code reviews reduced pull request merge times from 18 to 12 hours.
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How to Run on Three Clouds at Once, and When Not to
Ross McFarlane and Kevin Holditch explain how Form3 engineered a triple active multi-cloud architecture across AWS, GCP, and Azure to deliver ultra-resilient, regulatory-compliant payment systems.
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Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server
Felipe Huici discusses scaling microVM sandboxes for AI workloads, explaining how millisecond cold boots, high density, and stateful scale-to-zero achieve efficient, secure cloud isolation.
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From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
Onur Satici discusses Vortex, an open-source columnar file format designed to bypass CPU bottlenecks, enabling ultra-fast S3-to-GPU data streaming and dynamic query pruning at up to 60 Gbps.
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Running AI at the Edge: Running Real Workloads Directly in the Browser
James Hall explains why engineering teams should shift AI workloads on-device. He shares local inference strategies, WebGPU optimization techniques, and architecture choices for zero-trust privacy.
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From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved
Kasia Trapszo explains how Netflix evolved its commerce platform, making pragmatic architectural trade-offs through global expansion, regulatory shifts, domain splits, and live-event scaling.
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