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  <channel>
    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Shopify Overexposed Scans GKE Ingresses and Cloud Run for Exposure</title>
      <link>https://www.infoq.com/news/2026/11/shopify-kubernetes-ingresses/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/shopify-kubernetes-ingresses/en/headerimage/generatedHeaderImage-1793520999206.jpg"/&gt;&lt;p&gt;Shopify has introduced Overexposed. This internal scanner locates Kubernetes Ingresses on GKE and Cloud Run services. It checks for those that are accessible from the internet without authentication&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Cloud</category>
      <category>Cloud Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/shopify-kubernetes-ingresses/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-11-02T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/shopify-kubernetes-ingresses/en</dc:identifier>
    </item>
    <item>
      <title>AWS Capacity Largely Sold Out Through 2027, With On Demand Headroom Reserved</title>
      <link>https://www.infoq.com/news/2026/11/aws-capacity-sold-out/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/aws-capacity-sold-out/en/headerimage/generatedHeaderImage-1793124716899.jpg"/&gt;&lt;p&gt;Amazon CEO Andy Jassy says AWS’s large committed cloud capacity is largely sold out through 2027, with part of 2028 already allocated, while the company continues to reserve headroom for On Demand, EC2 and Bedrock. Practitioners discussing the remarks report difficulty obtaining On Demand capacity for ordinary EC2 instances, and similar constraints at other providers.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Capacity Planning</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 01 Nov 2026 08:03:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/aws-capacity-sold-out/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-11-01T08:03:00Z</dc:date>
      <dc:identifier>/news/2026/11/aws-capacity-sold-out/en</dc:identifier>
    </item>
    <item>
      <title>File Mover Express: AWS Releases Open-Source Tool for S3 File Transfers</title>
      <link>https://www.infoq.com/news/2026/11/aws-s3-file-transfer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/aws-s3-file-transfer/en/headerimage/generatedHeaderImage-1792218946629.jpg"/&gt;&lt;p&gt;AWS has recently released File Mover Express, an open-source application under the Apache 2.0 license for transferring large files between local systems and Amazon S3. Available for macOS, Windows, and Linux, it supports parallel transfers, automatic performance tuning, retries, pause and resume, and file integrity verification.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Open Source</category>
      <category>S3</category>
      <category>Go Language</category>
      <category>AWS</category>
      <category>Data Storage</category>
      <category>Data Transfer Objects</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 01 Nov 2026 06:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/aws-s3-file-transfer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-11-01T06:32:00Z</dc:date>
      <dc:identifier>/news/2026/11/aws-s3-file-transfer/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare’s Post-Quantum GeoKey Manager Enters Closed Beta Without Attribute-Based Encryption</title>
      <link>https://www.infoq.com/news/2026/10/cf-pq-geokey-manager/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/cf-pq-geokey-manager/en/headerimage/generatedHeaderImage-1793376907936.jpg"/&gt;&lt;p&gt;Cloudflare has moved a post-quantum rebuild of GeoKey Manager into closed beta, guarding geo-fenced keys with hybrid ML-KEM-768 and X25519 instead of the attribute-based encryption used since 2022. Keys live only in kernel memory on verified regional servers, and any failed check rejects the request, a fail-closed choice practitioners ask could cause a regional outage. GA is planned for Q1 2027.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Encryption</category>
      <category>Security</category>
      <category>Quantum Computing</category>
      <category>Cloud Computing</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 19:56:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cf-pq-geokey-manager/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-31T19:56:00Z</dc:date>
      <dc:identifier>/news/2026/10/cf-pq-geokey-manager/en</dc:identifier>
    </item>
    <item>
      <title>OpenBSD 8.0 Brings Expanded Hardware Support, Security Enhancements, and Virtualization Improvements</title>
      <link>https://www.infoq.com/news/2026/10/openbsd-8-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/openbsd-8-released/en/headerimage/openbsd-8-released-1793464400707.jpeg"/&gt;&lt;p&gt;OpenBSD 8.0 is a substantial upgrade bringing broader hardware compatibility, enhanced security, an expanded virtual address space, and support for modern architectures, including Intel Arc A-Series graphics support, ARM64 hibernation, RISC-V improvements, and enhanced virtual machine support.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Operating Systems</category>
      <category>Virtualization</category>
      <category>Security</category>
      <category>GPU</category>
      <category>OpenBSD</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/openbsd-8-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-31T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/openbsd-8-released/en</dc:identifier>
    </item>
    <item>
      <title>Spring News Roundup: First Release Candidates of Boot, Framework, Data, Security, Modulith, AI</title>
      <link>https://www.infoq.com/news/2026/10/spring-news-roundup-oct19-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/spring-news-roundup-oct19-2026/en/headerimage/spring-news-roundup-image-1793452938585.jpg"/&gt;&lt;p&gt;There was a flurry of activity during the week of October 19th, 2026, highlighting: first release candidates of: Spring Boot, Spring Framework, Spring Data, Spring Cloud, Spring Security, Spring for GraphQL, Spring Session, Spring Integration, Spring HATEOS, Spring Modulith, Spring REST Docs, Spring AI, Spring Batch, Spring AMQP, Spring for Apache Kafka, Spring LDAP and Spring Web Services.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Spring Modulith</category>
      <category>Spring Framework</category>
      <category>Spring Security</category>
      <category>Spring Batch</category>
      <category>Spring Integration</category>
      <category>Java</category>
      <category>Spring AI</category>
      <category>Spring Boot</category>
      <category>GraphQL</category>
      <category>AMQP</category>
      <category>Spring Web Services</category>
      <category>Spring Data</category>
      <category>Spring Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 13:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/spring-news-roundup-oct19-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-10-31T13:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/spring-news-roundup-oct19-2026/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes Confidential Containers Get Fortanix Attestation and Key Management</title>
      <link>https://www.infoq.com/news/2026/10/k8s-confidential-containers/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/k8s-confidential-containers/en/headerimage/header-1793049721702.jpeg"/&gt;&lt;p&gt;Fortanix's CoCo integration connects workload attestation to decryption-key release for Kubernetes AI workloads. GPU-verification settings affect protection, while upstream Trustee and Azure Secure Key Release offer alternative routes to attestation-based key release.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>Kubernetes</category>
      <category>Containers</category>
      <category>Cloud Native Computing Foundation</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 08:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/k8s-confidential-containers/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-10-31T08:18:00Z</dc:date>
      <dc:identifier>/news/2026/10/k8s-confidential-containers/en</dc:identifier>
    </item>
    <item>
      <title>LocalStack for Azure Enters Public Preview with Security Settings Stored but Not Enforced</title>
      <link>https://www.infoq.com/news/2026/10/localstack-azure-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/localstack-azure-preview/en/headerimage/generatedHeaderImage-1793037893055.jpg"/&gt;&lt;p&gt;LocalStack has opened its Azure emulator to a free public preview, running Azure services locally and accepting existing ARM, Bicep, and Terraform without rewrites. Its own documentation reports partial operation coverage per service and a consistent pattern: configuration is stored and returned, while enforcement of access restrictions, TLS, and network rules is not implemented.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Cloud</category>
      <category>Azure</category>
      <category>Infrastructure as Code</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 07:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/localstack-azure-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-31T07:57:00Z</dc:date>
      <dc:identifier>/news/2026/10/localstack-azure-preview/en</dc:identifier>
    </item>
    <item>
      <title>Google Discloses PageBreak AI Security Agent That Found 500+ XSS Bugs</title>
      <link>https://www.infoq.com/news/2026/10/google-pagebreak-security-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/google-pagebreak-security-agent/en/headerimage/generatedHeaderImage-1791008728252.jpg"/&gt;&lt;p&gt;According to a paper published by Google, its AI-powered security agent has uncovered more than 500 XSS vulnerabilities across its web applications since entering full operation in January. PageBreak uses Gemini models to autonomously investigate potential vulnerabilities, but reports them only after deterministic validators successfully reproduce the exploit against a running application.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Gemini</category>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Security Vulnerabilities</category>
      <category>Information Security</category>
      <category>DevSecOps</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 31 Oct 2026 06:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/google-pagebreak-security-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-31T06:20:00Z</dc:date>
      <dc:identifier>/news/2026/10/google-pagebreak-security-agent/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash Cuts Grocery Reorder Latency from 16 to 2 Seconds with AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash reduced grocery reorder latency from 16 to 2 seconds by precomputing recurring purchase needs using batch LLM inference and deterministic validation. Live catalog resolution keeps product selections current, while an editable shopping interface avoids unnecessary model calls. The company reports that shopping list views doubled and the flow’s order rate increased by approximately 34%&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>Orchestration</category>
      <category>Large language models</category>
      <category>API Gateway</category>
      <category>Model Inference</category>
      <category>Data Catalog</category>
      <category>Low Latency</category>
      <category>Agentic AI Architecture</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 13:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-30T13:31:00Z</dc:date>
      <dc:identifier>/news/2026/10/doordash-ai-grocery-reorder/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Treats GPU Reliability as a Distributed Systems Problem</title>
      <link>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/netflix-gpu-distributed-systems/en/headerimage/generatedHeaderImage-1792576903003.jpg"/&gt;&lt;p&gt;Netflix has detailed how it is building a reliability platform for large-scale GPU training and inference, using layered health checks, automated remediation, and fault-tolerant training to keep jobs running despite hardware failures.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Kubernetes</category>
      <category>Hardware</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>GPU</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-10-30T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/netflix-gpu-distributed-systems/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=global</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>Leadership</category>
      <category>Claude</category>
      <category>Context Engineering</category>
      <category>QCon London 2026</category>
      <category>AI Coding</category>
      <category>Anthropic</category>
      <category>Careers</category>
      <category>Transcripts</category>
      <category>Productivity</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</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=global</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>Netflix Titus Adds Single-Tenant VM Isolation for Containers</title>
      <link>https://www.infoq.com/news/2026/10/netflix-titus-kubernetes-microvm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/netflix-titus-kubernetes-microvm/en/headerimage/generatedHeaderImage-1793268697529.jpg"/&gt;&lt;p&gt;Netflix has added single-tenant Titus, a mode that runs one task alone on its own right-sized EC2 instance. The Compute/Platform team still owns and patches the host, so application teams keep the same API and deployment path&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/netflix-titus-kubernetes-microvm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-10-30T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/netflix-titus-kubernetes-microvm/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=global</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>Robotics</category>
      <category>InfoQ Trends Report 2026</category>
      <category>AI coding agents</category>
      <category>InfoQ Trends Report</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Agent2Agent</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=global</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=global</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>Model Context Protocol (MCP)</category>
      <category>InfoQ Trends Report 2026</category>
      <category>InfoQ Trends Report</category>
      <category>Context Engineering</category>
      <category>Multi-Model Databases</category>
      <category>Robotics</category>
      <category>Spec Driven Development</category>
      <category>Large language models</category>
      <category>Frontier Model</category>
      <category>The InfoQ Podcast</category>
      <category>Artificial Intelligence</category>
      <category>Agent2Agent</category>
      <category>AI Harness</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=global</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>
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