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    <title>InfoQ</title>
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    <item>
      <title>Repeated VM Escapes By GPT-5.6-Cyber Based Agents Prove  VMs and OS' Require Better Maintenance</title>
      <link>https://www.infoq.com/news/2026/09/agent-escape-vm/?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/2026/09/agent-escape-vm/en/headerimage/headerRobotEscape-1789626255584.jpg"/&gt;&lt;p&gt;Traditional virtual machines are inadequate for isolating cyber-capable autonomous agents. Tests using GPT-5.6-Cyber indicated multiple escape attempts due to kernel flaws. While Firecracker provided some containment, vulnerabilities remained. The study underscores the need for minimal attack surface virtualisation technologies and rapid, proactive patching strategies to safeguard host systems.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Virtualization</category>
      <category>AI Security</category>
      <category>VM</category>
      <category>Security Breach</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/agent-escape-vm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-17T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/09/agent-escape-vm/en</dc:identifier>
    </item>
    <item>
      <title>TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript</title>
      <link>https://www.infoq.com/news/2026/09/tanstack-charts-alpha-introduced/?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/2026/09/tanstack-charts-alpha-introduced/en/headerimage/generatedHeaderImage-1789574181602.jpg"/&gt;&lt;p&gt;TanStack Charts is a new, framework-agnostic visualization library for TypeScript. It allows developers to create visualizations by composing various elements instead of using fixed chart types. Currently in Alpha, it has about 160,000 weekly downloads. The library supports multiple frameworks and is designed for a variety of environments, though it is not yet stable for production use.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Data Visualization</category>
      <category>Angular</category>
      <category>TypeScript</category>
      <category>Vue.js</category>
      <category>React</category>
      <category>React Native</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 05:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/tanstack-charts-alpha-introduced/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-09-17T05:53:00Z</dc:date>
      <dc:identifier>/news/2026/09/tanstack-charts-alpha-introduced/en</dc:identifier>
    </item>
    <item>
      <title>GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity</title>
      <link>https://www.infoq.com/news/2026/09/gpt-6-astra-critical-cyber/?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/2026/09/gpt-6-astra-critical-cyber/en/headerimage/generatedHeaderImage-1789311714190.jpg"/&gt;&lt;p&gt;OpenAI has classified GPT-6 Astra at the Critical cybersecurity threshold under its Preparedness Framework, a first. In expert-led testing the model found previously unknown vulnerabilities in a browser and an OS kernel and built working exploits. The same system card reports a substantial decline in chain-of-thought monitorability.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Architecture</category>
      <category>Azure</category>
      <category>Machine Learning</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 04:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gpt-6-astra-critical-cyber/?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>2026-09-17T04:59:00Z</dc:date>
      <dc:identifier>/news/2026/09/gpt-6-astra-critical-cyber/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Open-Sources TauGrid to Simplify AI Workload Management on Kubernetes</title>
      <link>https://www.infoq.com/news/2026/09/microsoft-taugrid-open-source/?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/2026/09/microsoft-taugrid-open-source/en/headerimage/microsoft-phi-4-1789581142435.jpeg"/&gt;&lt;p&gt;Microsoft has open-sourced TauGrid, a cloud-native platform designed to manage, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Orchestration</category>
      <category>Open Source</category>
      <category>Microsoft</category>
      <category>Kubernetes</category>
      <category>Agents</category>
      <category>Azure</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/microsoft-taugrid-open-source/?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>2026-09-16T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/microsoft-taugrid-open-source/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?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;Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Asynchronous Architecture</category>
      <category>Tika</category>
      <category>Apache</category>
      <category>plugins</category>
      <category>Large language models</category>
      <category>Platform Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Distributed Systems</category>
      <category>Enterprise Content Management</category>
      <category>Architecture</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 14:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?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>2026-09-16T14:42:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-riviera-ai-platform/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Drops React Native for Swift and Kotlin as AI Changes Cross-Platform Development Tradeoffs</title>
      <link>https://www.infoq.com/news/2026/09/shopify-drops-react-native/?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/2026/09/shopify-drops-react-native/en/headerimage/generatedHeaderImage-1789561441081.jpg"/&gt;&lt;p&gt;Shopify recently announced it is abandoning React Native to rewrite its flagship apps in Swift and Kotlin. With the significant jump in the quality of AI models, Head of Mobile Mustafa Ali reassessed Shopify’s commitment to React Native, estimating that the benefit/cost ratio of maintaining native codebases across mobile platforms was now above that of using an abstraction layer.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Apple</category>
      <category>Mobile</category>
      <category>Android</category>
      <category>Kotlin</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 12:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/shopify-drops-react-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-16T12:45:00Z</dc:date>
      <dc:identifier>/news/2026/09/shopify-drops-react-native/en</dc:identifier>
    </item>
    <item>
      <title>Article: Your Next DSL Author Is a Language Model</title>
      <link>https://www.infoq.com/articles/next-dsl-author-language-model/?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/next-dsl-author-language-model/en/smallimage/Your-Next-DSL-Author-Is-a-Language-Model-thumb-1789048983233.jpg"/&gt;&lt;p&gt;In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.&lt;/p&gt; &lt;i&gt;By Irakli Betchvaia&lt;/i&gt;</description>
      <category>DSLs</category>
      <category>Domain Specific Languages</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/next-dsl-author-language-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Irakli Betchvaia</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/articles/next-dsl-author-language-model/en</dc:identifier>
    </item>
    <item>
      <title>Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator</title>
      <link>https://www.infoq.com/news/2026/09/lyft-flink-k8s-operator/?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/2026/09/lyft-flink-k8s-operator/en/headerimage/header-1788786681315.jpeg"/&gt;&lt;p&gt;Lyft has moved hundreds of production Flink jobs from a 2020 in-house Kubernetes operator to the Apache Flink Kubernetes Operator, unlocking last-state upgrades, in-place autoscaling and resource autotuning across the fleet.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Apache Flink</category>
      <category>Kubernetes</category>
      <category>Kubernetes Operator</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/lyft-flink-k8s-operator/?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>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/lyft-flink-k8s-operator/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review</title>
      <link>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?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/duolingo-ai-literacy-code-review/en/mediumimage/sarah-deitke-medium-1788338781338.jpeg"/&gt;&lt;p&gt;Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing targeted developer education with safe AI guardrails speeds up delivery without increasing defect rates.&lt;/p&gt; &lt;i&gt;By Sarah Deitke&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>QCon London 2026</category>
      <category>Culture</category>
      <category>Adoption</category>
      <category>Automation</category>
      <category>Metrics</category>
      <category>Code Reviews</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sarah Deitke</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/duolingo-ai-literacy-code-review/en</dc:identifier>
    </item>
    <item>
      <title>Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27</title>
      <link>https://www.infoq.com/news/2026/09/java27-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/2026/09/java27-released/en/headerimage/java-istock-image-01-1789513423942.jpg"/&gt;&lt;p&gt;Oracle has released version 27 of the Java programming language and virtual machine. As the second non-LTS release since JDK 25, the final feature set includes nine JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on strengthening security, future language innovation, and projects under the auspices of the Java Verified Portfolio.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Java</category>
      <category>Helidon</category>
      <category>Application Security</category>
      <category>JDK 28</category>
      <category>Quantum Computing</category>
      <category>Project Valhalla</category>
      <category>JavaFX</category>
      <category>JDK 27</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java27-released/?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>2026-09-16T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/java27-released/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-datacenter/?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/2026/09/dropbox-datacenter/en/headerimage/generatedHeaderImage-1789513176018.jpg"/&gt;&lt;p&gt;Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Infrastructure Optimisation</category>
      <category>Sustainable Computing</category>
      <category>Infrastructure</category>
      <category>AI Architecture</category>
      <category>Data Storage</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 07:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-datacenter/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-09-16T07:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-datacenter/en</dc:identifier>
    </item>
    <item>
      <title>From Memory-Hungry HNSW to Quantized SPANN: The Technical Evolution of Pinterest's Manas Platform</title>
      <link>https://www.infoq.com/news/2026/09/pinterest-search/?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/2026/09/pinterest-search/en/headerimage/HG-1789489973604.jpg"/&gt;&lt;p&gt;Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and it is transitioning to multi-vector models for refined relevance matching.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Search</category>
      <category>Algorithms</category>
      <category>Infrastructure</category>
      <category>Optimization</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-16T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/pinterest-search/en</dc:identifier>
    </item>
    <item>
      <title>AI-Assisted Discovery Helps Microsoft Patch More Than 1,000 Vulnerabilities in a Month</title>
      <link>https://www.infoq.com/news/2026/09/microsoft-ai-security-patch/?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/2026/09/microsoft-ai-security-patch/en/headerimage/microsoft-llm-contextual-privacy-1789488709548.jpeg"/&gt;&lt;p&gt;With its latest September 2026 Patch, which addresses more than 950 vulnerabilities, Microsoft has patched about 2,750 vulnerabilities so far this year. While many attribute this surge to AI-assisted security research, organizations may struggle to keep pace and fully benefit from these advances, particularly when it comes to evaluating, prioritizing, and deploying patches.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Windows</category>
      <category>Security Vulnerabilities</category>
      <category>Microsoft</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/microsoft-ai-security-patch/?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>2026-09-15T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/microsoft-ai-security-patch/en</dc:identifier>
    </item>
    <item>
      <title>Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces</title>
      <link>https://www.infoq.com/news/2026/09/atlassian-automated-rca/?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/2026/09/atlassian-automated-rca/en/headerimage/generatedHeaderImage-1789026479583.jpg"/&gt;&lt;p&gt;Atlassian has outlined a new approach to automating root cause analysis for large-scale cloud-native incidents, using correlation across metrics, logs, distributed traces, and service topology to generate ranked hypotheses about where failures originate and how they propagate.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Atlassian</category>
      <category>Defects</category>
      <category>Metrics</category>
      <category>Logging</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/atlassian-automated-rca/?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>2026-09-15T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/atlassian-automated-rca/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Lead Without a Ladder: How I Climbed Into Engineering Leadership</title>
      <link>https://www.infoq.com/presentations/engineering-leadership/?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/engineering-leadership/en/mediumimage/pauline-jepp-medium-1789020823444.jpeg"/&gt;&lt;p&gt;Pauline Jepp explains how systems thinking, rock climbing, and flocking behaviors apply to engineering leadership. She shares strategies for balancing team autonomy with alignment, supporting invisible work like mentorship, and navigating transitions from hands-on engineer to engineering leader while maintaining organizational trust and psychological safety.&lt;/p&gt; &lt;i&gt;By Pauline Jepp&lt;/i&gt;</description>
      <category>Chief Engineer</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Careers</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 15 Sep 2026 09:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/engineering-leadership/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pauline Jepp</dc:creator>
      <dc:date>2026-09-15T09:10:00Z</dc:date>
      <dc:identifier>/presentations/engineering-leadership/en</dc:identifier>
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