https://www.infoq.com InfoQ Context Engineering feed https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering <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> AI Harness Evolutionary Architecture Metrics Agents Context Engineering Architecture Transcripts Leadership QCon AI Boston 2026 AI, ML & Data Engineering Architecture & Design Development 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=Context+Engineering Nimisha Asthagiri 2026-11-03T11:00:00Z /presentations/canvas-ai-agents/en https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering <img src="https://res.infoq.com/articles/agentic-ai-context-memory-knowledge/en/headerimage/agentic-ai-context-memory-knowledge-header-1793173492489.jpg"/><p>The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting. It also covers common anti-patterns, such as context stuffing and stale data loops, with mitigations.</p> <i>By Adi Polak</i> Agentic AI Architecture Large language models Context Engineering Memory AI, ML & Data Engineering Architecture & Design article Mon, 02 Nov 2026 11:00:00 GMT https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering Adi Polak 2026-11-02T11:00:00Z /articles/agentic-ai-context-memory-knowledge/en https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering <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 Careers AI Coding Claude Context Engineering Transcripts QCon London 2026 Anthropic Leadership Productivity AI, ML & Data Engineering Culture & Methods Architecture & Design Development 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=Context+Engineering Alasdair Allan 2026-10-30T11:00:00Z /presentations/ai-software-engineering-pipeline/en https://www.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering <img src="https://res.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/en/smallimage/trend-reports-thumbnail-1793181579584.jpg"/><p>In this episode, members of the InfoQ AI and ML editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software dev. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year.</p> <i>By Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals</i> The InfoQ Podcast Model Context Protocol (MCP) InfoQ Trends Report Context Engineering InfoQ Trends Report 2026 Multi-Model Databases AI Harness Large language models Frontier Model Artificial Intelligence Agent2Agent Spec Driven Development Robotics AI, ML & Data Engineering podcast Fri, 30 Oct 2026 09:00:00 GMT https://www.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Context+Engineering Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals 2026-10-30T09:00:00Z /podcasts/ai-ml-data-engineering-trends-2026/en