InfoQ - Artificial Intelligence - Presentations https://www.infoq.com InfoQ Artificial Intelligence Presentations feed Presentation: The Ladder is Missing Rungs: Engineering Progression When AI Ate the Middle https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Artificial+Intelligence-presentations <img src="https://res.infoq.com/presentations/ai-software-engineering-pipeline/en/mediumimage/alasdair-allan-medium-1791451156021.jpeg"/><p>Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption. He explains the "supervision paradox," where reliance on AI tools disrupts junior skill development, risks institutional context loss, and threatens the long-term engineering pipeline needed to oversee autonomous systems effectively.</p> <i>By Alasdair Allan</i> Code Reviews Leadership Claude Context Engineering QCon London 2026 AI Coding Careers Anthropic Transcripts Productivity AI, ML & Data Engineering Development Culture & Methods Architecture & Design presentation Fri, 30 Oct 2026 11:00:00 GMT https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Artificial+Intelligence-presentations Alasdair Allan 2026-10-30T11:00:00Z /presentations/ai-software-engineering-pipeline/en Presentation: Serving LLMs at Scale: the Hidden KV Cache Advantage https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Artificial+Intelligence-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 QCon AI Boston 2026 Large language models Redis Caching Valkey Transcripts GPU Distributed Systems AI, ML & Data Engineering Development Architecture & Design 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=Artificial+Intelligence-presentations Khawaja Shams 2026-10-27T11:00:00Z /presentations/llm-inference-kv-cache/en