<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags</title>
      <link>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?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/doordash-feature-flag-cleanup/en/headerimage/generatedHeaderImage-1788418529526.jpg"/&gt;&lt;p&gt;DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation. In an evaluation of 50 flags, 45 produced usable pull requests at an average of 13.8 minutes and $4.79 per cleanup.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Feature Injection</category>
      <category>A/B Testing</category>
      <category>Developer Experience</category>
      <category>Experiment Driven Development</category>
      <category>Static Analysis</category>
      <category>AI Assisted Coding</category>
      <category>Automation</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>git</category>
      <category>AI Coding</category>
      <category>Large language models</category>
      <category>github</category>
      <category>Agents</category>
      <category>Feature Toggle</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 13:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?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>2026-09-18T13:50:00Z</dc:date>
      <dc:identifier>/news/2026/09/doordash-feature-flag-cleanup/en</dc:identifier>
    </item>
    <item>
      <title>WSO2 Releases Agent Manager as Enterprises Look to Control Growing AI Agent Sprawl</title>
      <link>https://www.infoq.com/news/2026/09/ws02-agent-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/2026/09/ws02-agent-manager/en/headerimage/generatedHeaderImage-1789125513190.jpg"/&gt;&lt;p&gt;WSO2 has announced the general availability of WSO2 Agent Manager, an open-source platform designed to provide centralized governance, identity management, security controls, and operational oversight for AI agents running across different models, frameworks, and deployment environments.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>AIOps</category>
      <category>WS02 Stratos</category>
      <category>AI Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/ws02-agent-manager/?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>2026-09-18T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/ws02-agent-manager/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Complexity and Creativity in Software Engineering</title>
      <link>https://www.infoq.com/presentations/ai-software-engineering-complexity/?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-complexity/en/mediumimage/philip-mortimer-medium-1789021228203.jpeg"/&gt;&lt;p&gt;Phillip Mortimer discusses the shift toward write-only software driven by AI code generation. He explains why traditional pull requests are broken and shares how engineering leaders can manage complexity by decoupling intent from implementation, automating code reviews, and building self-healing architecture to unleash developer creativity across senior engineering and architecture teams.&lt;/p&gt; &lt;i&gt;By Phillip Mortimer&lt;/i&gt;</description>
      <category>QCon London 2026</category>
      <category>Testing</category>
      <category>Management</category>
      <category>AI Assisted Coding</category>
      <category>Code Quality</category>
      <category>Leadership</category>
      <category>Architecture</category>
      <category>Productivity</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 18 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Phillip Mortimer</dc:creator>
      <dc:date>2026-09-18T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-engineering-complexity/en</dc:identifier>
    </item>
    <item>
      <title>htmx 4.0: a Fetch-Based Rewrite, Built-In Morphing Swaps, and Explicit Attribute Inheritance</title>
      <link>https://www.infoq.com/news/2026/09/htmx-4-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/htmx-4-released/en/headerimage/generatedHeaderImage-1789720463705.jpg"/&gt;&lt;p&gt;htmx 4 has been released, featuring a transition from XMLHttpRequest to the fetch() API, enhancing streaming capabilities. Key updates include built-in morphing swaps for DOM state preservation and an hx-partial tag for cleaner updates. Attribute inheritance is now explicit, with event names standardized. The library maintains focus on minimal JavaScript while remaining popular among frameworks.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Server-side rendering</category>
      <category>HTML5</category>
      <category>JavaScript</category>
      <category>Node.js</category>
      <category>HTML</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 09:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/htmx-4-released/?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>2026-09-18T09:32:00Z</dc:date>
      <dc:identifier>/news/2026/09/htmx-4-released/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Signals and Levers: Building Thriving Engineering Organizations</title>
      <link>https://www.infoq.com/podcasts/building-thriving-engineering-organizations/?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/building-thriving-engineering-organizations/en/smallimage/engineering-culture-500-1788872636488.jpg"/&gt;&lt;p&gt;In this podcast Shane Hastie, Lead Editor for Culture &amp; Methods spoke to Elisabeth Hendrickson and Joel Tosi about systems thinking as a lens for software delivery, the cultural "levers" leaders and teams can pull to shape organizations, and building thriving, sustainable teams amid AI-driven change.&lt;/p&gt; &lt;i&gt;By Elisabeth Hendrickson, Joel Tosi&lt;/i&gt;</description>
      <category>Technical Debt</category>
      <category>Engineering Culture Podcast</category>
      <category>Teamwork</category>
      <category>Psychological Safety</category>
      <category>Leadership</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 18 Sep 2026 09:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/building-thriving-engineering-organizations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Elisabeth Hendrickson, Joel Tosi</dc:creator>
      <dc:date>2026-09-18T09:05:00Z</dc:date>
      <dc:identifier>/podcasts/building-thriving-engineering-organizations/en</dc:identifier>
    </item>
    <item>
      <title>Article: Architecting Secure and Scalable Facial Verification Systems</title>
      <link>https://www.infoq.com/articles/secure-scalable-facial-verification/?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/secure-scalable-facial-verification/en/headerimage/secure-scalable-facial-verification-header-1789468796366.jpg"/&gt;&lt;p&gt;When three thousand employees verify at once, synchronous API calls collapse. This article presents a four-layer architecture for high-volume face verification: client-side filtering that cut cloud costs 30%, decoupled detection and verification enabling 10x scaling, risk-based dynamic thresholds, and zero-trust privacy with consent gates and automated data purging for GDPR and HIPAA.&lt;/p&gt; &lt;i&gt;By Praveen Kumar Gopalakrishnan&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 18 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/secure-scalable-facial-verification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Praveen Kumar Gopalakrishnan</dc:creator>
      <dc:date>2026-09-18T09:00:00Z</dc:date>
      <dc:identifier>/articles/secure-scalable-facial-verification/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment</title>
      <link>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?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/openai-misalignment-framework/en/headerimage/generatedHeaderImage-1789701944081.jpg"/&gt;&lt;p&gt;OpenAI has released a disclosure framework for model misalignment during its lifecycle. Employees can flag potential issues, prompting technical staff to label incidents. The initial case studies outline unexpected model behaviours, providing insights into deviations from expected parameters. Community reactions show both approval and scepticism regarding transparency and corporate narratives.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Misalignment</category>
      <category>Frontier Model</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-misalignment-framework/?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>2026-09-18T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/09/openai-misalignment-framework/en</dc:identifier>
    </item>
    <item>
      <title>Building an Internal Developer Platform with Artificial Intelligence</title>
      <link>https://www.infoq.com/news/2026/09/platform-artificial-intelligence/?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/platform-artificial-intelligence/en/headerimage/platform-artificial-intellgience-header-1789459416087.jpg"/&gt;&lt;p&gt;Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Platform Engineering</category>
      <category>Agents</category>
      <category>Distributed Tracing</category>
      <category>Metrics</category>
      <category>Artificial Intelligence</category>
      <category>Logging</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 11:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/platform-artificial-intelligence/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-09-17T11:11:00Z</dc:date>
      <dc:identifier>/news/2026/09/platform-artificial-intelligence/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation</title>
      <link>https://www.infoq.com/news/2026/09/karmada-kubernetes-cncf/?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/karmada-kubernetes-cncf/en/headerimage/generatedHeaderImage-1789562925561.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation (CNCF) announced on September 2026 that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration project, has graduated. This multi-cluster and multi-cloud Kubernetes orchestration project reached CNCF's highest maturity tier.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Orchestration</category>
      <category>Kubernetes</category>
      <category>AI Architecture</category>
      <category>Clusters</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 17 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/karmada-kubernetes-cncf/?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>2026-09-17T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/karmada-kubernetes-cncf/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: When Incidents Refuse to End</title>
      <link>https://www.infoq.com/presentations/stream-incidents/?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/stream-incidents/en/mediumimage/vanessa-huerta-medium-1789021024982.jpeg"/&gt;&lt;p&gt;Vanessa Huerta Granda explains how marathon incidents expose the gap between work as imagined and work as done. Drawing from real-world scenarios, she shares how complex outages reveal organizational fragility, human limits, and system interdependencies—and why incident response requires structured endurance, humane rotations, and holistic cross-functional coordination.&lt;/p&gt; &lt;i&gt;By Vanessa Huerta Granda&lt;/i&gt;</description>
      <category>QCon San Francisco 2026</category>
      <category>Transcripts</category>
      <category>Incident Response</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 17 Sep 2026 09:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/stream-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Vanessa Huerta Granda</dc:creator>
      <dc:date>2026-09-17T09:30:00Z</dc:date>
      <dc:identifier>/presentations/stream-incidents/en</dc:identifier>
    </item>
    <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>
  </channel>
</rss>
