https://www.infoq.com InfoQ Architecture Presentations feed https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations <img src="https://res.infoq.com/presentations/zero-trust-ai-agents-production-security/en/mediumimage/advait-patel-medium-1792655207658.jpeg"/><p>Advait Patel shares a playbook for securing AI agent systems in production. He discusses moving defense boundaries from the prompt to the tool layer, enforcing scoped workload identities, and mitigating prompt injection via tool outputs. He explains how to structure audit-ready observability and implement kill switches to protect critical data while keeping deployment fast and compliant.</p> <i>By Advait Patel</i> QCon AI Boston 2026 Architecture Zero Trust Observability Compliance DevSecOps OWASP AI Security Logging Software Supply Chain Transcripts Cloud Security Agents Architecture & Design Development AI, ML & Data Engineering DevOps presentation Thu, 05 Nov 2026 11:00:00 GMT https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations Advait Patel 2026-11-05T11:00:00Z /presentations/zero-trust-ai-agents-production-security/en https://www.infoq.com/presentations/panel-ai-frontend-architecture/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations <img src="https://res.infoq.com/presentations/panel-ai-frontend-architecture/en/mediumimage/medium-1792133520845.jpg"/><p>The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.</p> <i>By Luca Mezzalira, James Hall, Danielle An, Ivan Zarea</i> Code Quality AI Architecture Architecture Transcripts Management Agents QCon London 2026 Architecture & Design Culture & Methods Development presentation Wed, 04 Nov 2026 11:00:00 GMT https://www.infoq.com/presentations/panel-ai-frontend-architecture/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations Luca Mezzalira, James Hall, Danielle An, Ivan Zarea 2026-11-04T11:00:00Z /presentations/panel-ai-frontend-architecture/en https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations <img src="https://res.infoq.com/presentations/canvas-ai-agents/en/mediumimage/nimisha-asthagiri-medium-1792655073821.jpg"/><p>Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently.</p> <i>By Nimisha Asthagiri</i> Leadership QCon AI Boston 2026 Metrics Architecture AI Harness Transcripts Context Engineering Agents Evolutionary Architecture Architecture & Design Development AI, ML & Data Engineering presentation Tue, 03 Nov 2026 11:00:00 GMT https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations Nimisha Asthagiri 2026-11-03T11:00:00Z /presentations/canvas-ai-agents/en https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations <img src="https://res.infoq.com/presentations/llm-inference-kv-cache/en/mediumimage/medium-1792066105733.jpeg"/><p>Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, leveraging tiered storage, reducing tail latency, and implementing disaggregated prefill and decode architectures to improve overall fleet performance, cost economics, and availability.</p> <i>By Khawaja Shams</i> Optimization GPU QCon AI Boston 2026 Distributed Systems Transcripts Valkey Caching Large language models Redis Architecture & Design Development AI, ML & Data Engineering presentation Tue, 27 Oct 2026 11:00:00 GMT https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Architecture-presentations Khawaja Shams 2026-10-27T11:00:00Z /presentations/llm-inference-kv-cache/en