InfoQ Homepage Presentations
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From Founding Engineer to CTO to CEO – At the Same Startup
Trisha Ballakur explains how to transition from hands-on software engineering to founder and C-suite roles. She shares tactical lessons on customer discovery, delegation, and leveraging open source.
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Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson explains how to balance deterministic systems with stochastic AI agents. He shares lessons from NVIDIA on building purpose-built agent hierarchies and scaling robust evals.
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Realtime and Batch Processing of GPU Workloads
Joseph Stein explains how to build a highly available private AI cloud. He shares blueprints on scaling vLLM on enterprise GPUs, implementing gateway guardrails, and optimizing batch workloads.
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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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AI Native Engineering
Ian Thomas discusses Meta’s shift to AI-native engineering. He shares how Reality Labs reduced toil and grew an AI productivity community to 400+ members, boosting tool adoption to over 80%.
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The Ironies of A^2 I^2
J. Paul Reed explains the "ironies of automation" and AI in incident response. He discusses how reliance on AI can erode manual skills and camouflage system failures during high-stakes outages.
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The AI Gateway: Scaling Centralized Inference across Decentralized Teams
Meryem Arik explains how AI model gateways resolve the chaos of decentralized engineering teams by centralizing inference. Learn to optimize costs, enforce governance, and maximize GPU utilization.
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Powering the Future: Building Your GenAI Infrastructure Stack
Merrin Kurian discusses Intuit’s GenOS, a generative AI operating system powering agents for 100M users. She explains the transition from chat assistants to "done-for-you" autonomous experiences.
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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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Using AI as a Thinking Partner for Large-Scale Engineering Systems
Google senior staff engineer Julie Qiu shares how she uses AI as a thinking partner to navigate large-scale systems, moving beyond code generation to architecting complex, multi-language ecosystems.
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Accelerating LLM-Driven Developer Productivity at Zoox
Amit Navindgi explains how Zoox built Cortex, an internal AI platform that streamlines the developer lifecycle by moving beyond the hype to deliver secure, agentic workflows and real-world impact.
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What I Learned Building Multi-Agent Systems from Scratch
Paulo Arruda shares Shopify’s journey from "vibe coding" to building a multi-agent microservices architecture, exploring how specialized AI agents and context engineering maximize engineering ROI.
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