https://www.infoq.com InfoQ Code Generation feed https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Code+Generation <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> Transcripts AI Harness Architecture Metrics Agents QCon AI Boston 2026 Leadership Evolutionary Architecture Context Engineering Development Architecture & Design 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=Code+Generation 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=Code+Generation <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 Memory Large language models Context Engineering Architecture & Design AI, ML & Data Engineering 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=Code+Generation 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=Code+Generation <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> Careers AI Coding Transcripts Claude Code Reviews Productivity Leadership Context Engineering QCon London 2026 Anthropic Culture & Methods Development Architecture & Design AI, ML & Data Engineering 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=Code+Generation Alasdair Allan 2026-10-30T11:00:00Z /presentations/ai-software-engineering-pipeline/en https://www.infoq.com/articles/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Code+Generation <img src="https://res.infoq.com/articles/ai-ml-data-engineering-trends-2026/en/headerimage/ai-ml-de-graph-2026-1793191771570.jpg"/><p>This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of AI, ML, and Data Engineering. This report summarizes the InfoQ editorial team’s and external guests' view on the current trends in AI and ML technologies and what to look out for in the next 12 months.</p> <i>By Srini Penchikala, Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals</i> Model Context Protocol (MCP) Artificial Intelligence Agent2Agent AI coding agents InfoQ Trends Report 2026 Robotics InfoQ Trends Report Large language models AI, ML & Data Engineering article Fri, 30 Oct 2026 09:00:00 GMT https://www.infoq.com/articles/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Code+Generation Srini Penchikala, Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals 2026-10-30T09:00:00Z /articles/ai-ml-data-engineering-trends-2026/en https://www.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Code+Generation <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> Multi-Model Databases The InfoQ Podcast Model Context Protocol (MCP) InfoQ Trends Report 2026 InfoQ Trends Report Large language models Context Engineering Frontier Model AI Harness 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=Code+Generation Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals 2026-10-30T09:00:00Z /podcasts/ai-ml-data-engineering-trends-2026/en