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    <title>InfoQ - AI Coding</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ AI Coding feed</description>
    <item>
      <title>Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures</title>
      <link>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/articles/agentic-ai-context-memory-knowledge/en/headerimage/agentic-ai-context-memory-knowledge-header-1793173492489.jpg"/&gt;&lt;p&gt;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.&lt;/p&gt; &lt;i&gt;By Adi Polak&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Context Engineering</category>
      <category>Memory</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 02 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Adi Polak</dc:creator>
      <dc:date>2026-11-02T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-ai-context-memory-knowledge/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Ladder is Missing Rungs: Engineering Progression When AI Ate the Middle</title>
      <link>https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-software-engineering-pipeline/en/mediumimage/alasdair-allan-medium-1791451156021.jpeg"/&gt;&lt;p&gt;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.&lt;/p&gt; &lt;i&gt;By Alasdair Allan&lt;/i&gt;</description>
      <category>Code Reviews</category>
      <category>Careers</category>
      <category>AI Coding</category>
      <category>Claude</category>
      <category>Context Engineering</category>
      <category>Transcripts</category>
      <category>QCon London 2026</category>
      <category>Anthropic</category>
      <category>Leadership</category>
      <category>Productivity</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 30 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Alasdair Allan</dc:creator>
      <dc:date>2026-10-30T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-engineering-pipeline/en</dc:identifier>
    </item>
    <item>
      <title>Article: InfoQ AI, ML and Data Engineering Trends Report - 2026</title>
      <link>https://www.infoq.com/articles/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/articles/ai-ml-data-engineering-trends-2026/en/headerimage/ai-ml-de-graph-2026-1793191771570.jpg"/&gt;&lt;p&gt;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.&lt;/p&gt; &lt;i&gt;By Srini Penchikala, Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Large language models</category>
      <category>InfoQ Trends Report</category>
      <category>Artificial Intelligence</category>
      <category>Agent2Agent</category>
      <category>AI coding agents</category>
      <category>InfoQ Trends Report 2026</category>
      <category>Robotics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Fri, 30 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Srini Penchikala, Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals</dc:creator>
      <dc:date>2026-10-30T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-ml-data-engineering-trends-2026/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: AI, ML, and Data Engineering InfoQ Trends Report 2026</title>
      <link>https://www.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/en/smallimage/trend-reports-thumbnail-1793181579584.jpg"/&gt;&lt;p&gt;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.&lt;/p&gt; &lt;i&gt;By Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Model Context Protocol (MCP)</category>
      <category>InfoQ Trends Report</category>
      <category>Context Engineering</category>
      <category>InfoQ Trends Report 2026</category>
      <category>Multi-Model Databases</category>
      <category>AI Harness</category>
      <category>Large language models</category>
      <category>Frontier Model</category>
      <category>Artificial Intelligence</category>
      <category>Agent2Agent</category>
      <category>Spec Driven Development</category>
      <category>Robotics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Fri, 30 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/ai-ml-data-engineering-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Chip Huyen, Daniel Dominguez, Hien Luu, Arthur Casals</dc:creator>
      <dc:date>2026-10-30T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/ai-ml-data-engineering-trends-2026/en</dc:identifier>
    </item>
    <item>
      <title>Bug0 Releases QA Agent to Automate Regression Testing with Cached Playwright Replays</title>
      <link>https://www.infoq.com/news/2026/10/bug0-agent-testing-cached-replay/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/bug0-agent-testing-cached-replay/en/headerimage/generatedHeaderImage-1793286673185.jpg"/&gt;&lt;p&gt;QA Agent is a new source-available Playwright library for agentic browser regression testing. The agent associates test instructions expressed in natural language to actions on the user interface, caches those when appropriate for faster CI replays, remapping them to test specifications when the user interface changes. Verification is based on multi-model consensus and vision model evaluations.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Regression Testing</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 29 Oct 2026 15:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/bug0-agent-testing-cached-replay/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-10-29T15:17:00Z</dc:date>
      <dc:identifier>/news/2026/10/bug0-agent-testing-cached-replay/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare and VoidZero Introduce tsrs: an AI-Generated Rust Port of TypeScript</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-tsrs-ai-typescript/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/cloudflare-tsrs-ai-typescript/en/headerimage/generatedHeaderImage-1793039825386.jpg"/&gt;&lt;p&gt;Cloudflare, VoidZero and Max Schwenk announced tsrs, an experimental Rust port of the TypeScript compiler, built with the TypeScript team's involvement. Cloudflare claims up to 8x faster checking and 70% less memory than TypeScript 7.0, though one test against 7.1 beta showed 2.7x. It lacks watch mode and a language server, and exits with code 2 on type errors.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Rust</category>
      <category>JavaScript</category>
      <category>Cloudflare</category>
      <category>AI Coding</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 07:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-tsrs-ai-typescript/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-10-27T07:34:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-tsrs-ai-typescript/en</dc:identifier>
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