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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Artifactory Vulnerabilities Under Active Exploitation Enable Authentication Bypass and Admin Access</title>
      <link>https://www.infoq.com/news/2026/09/artifactory-vulnerabilities/?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/artifactory-vulnerabilities/en/headerimage/secretflow-privacy-preserving-1790621168767.jpg"/&gt;&lt;p&gt;Three Artifactory vulnerabilities under active exploitation enable authentication bypassing on Internet-accessible, self-hosted deployments, potentially allowing attackers to establish persistent administrator access in under five minutes. The exploits then enable dangerous activity, including credential and key theft, arbitrary code execution, persistence, and anti-forensics measures.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>Software Supply Chain</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/artifactory-vulnerabilities/?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>2026-09-28T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/artifactory-vulnerabilities/en</dc:identifier>
    </item>
    <item>
      <title>Radicle Discloses Critical Flaws Exposing Private Repositories in Plain Text</title>
      <link>https://www.infoq.com/news/2026/09/radicle-network-vulnerabilities/?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/radicle-network-vulnerabilities/en/headerimage/generatedHeaderImage-1790498420576.jpg"/&gt;&lt;p&gt;Radicle has identified two critical security vulnerabilities in its wire protocol, compromising confidentiality across all node releases. Attackers can access private repository data in cleartext and impersonate nodes. Due to architectural flaws, immediate halting of clearnet operations is advised. Fixes will require a shift to a new protocol (Iroh), creating backward incompatibility issues.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Common Vulnerabilities and Exposures</category>
      <category>Peer to Peer Communication</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/radicle-network-vulnerabilities/?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>2026-09-28T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/radicle-network-vulnerabilities/en</dc:identifier>
    </item>
    <item>
      <title>Meta’s ZGateway Cuts ZippyDB Connections 19x While Handling 1B+ Operations per Second</title>
      <link>https://www.infoq.com/news/2026/09/meta-zgateway-zippydb-proxy/?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/meta-zgateway-zippydb-proxy/en/headerimage/generatedHeaderImage-1789253966189.jpg"/&gt;&lt;p&gt;Meta has introduced ZGateway, a stateless proxy for ZippyDB that centralizes connection management, traffic routing, caching, load balancing, and admission control. The gateway handles more than 1 billion operations per second and about 40% of ZippyDB traffic, while Meta’s model estimates a 19x reduction in persistent connections.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Routing</category>
      <category>Scalability</category>
      <category>Database</category>
      <category>multi-region</category>
      <category>Load Balancing</category>
      <category>Caching</category>
      <category>Service Mesh</category>
      <category>Key-Value Store</category>
      <category>Availability</category>
      <category>Distributed Systems</category>
      <category>Fault Tolerance</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 13:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/meta-zgateway-zippydb-proxy/?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>2026-09-28T13:55:00Z</dc:date>
      <dc:identifier>/news/2026/09/meta-zgateway-zippydb-proxy/en</dc:identifier>
    </item>
    <item>
      <title>Article: Five Ways To Use AI Coding Agents to Improve Your Software Architecture</title>
      <link>https://www.infoq.com/articles/ai-agents-improve-software-architecture/?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-agents-improve-software-architecture/en/headerimage/ai-agents-improve-software-architecture-header-1790153650841.jpg"/&gt;&lt;p&gt;Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.&lt;/p&gt; &lt;i&gt;By Pierre Pureur, Kurt Bittner, Todd Miller&lt;/i&gt;</description>
      <category>Evolutionary Architecture</category>
      <category>AI Coding</category>
      <category>AI coding agents</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-agents-improve-software-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pierre Pureur, Kurt Bittner, Todd Miller</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/articles/ai-agents-improve-software-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle</title>
      <link>https://www.infoq.com/podcasts/ai-revolution-psychological-safety/?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-revolution-psychological-safety/en/smallimage/infoq-podcast-500-1790150533970.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architecture skills are now critical because engineers need to understand how to build systems and handle the constraints and associated ambiguity in the requirements.&lt;/p&gt; &lt;i&gt;By Erin Doyle&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Software Development Lifecycle</category>
      <category>Software Engineering Education</category>
      <category>Psychological Safety</category>
      <category>Architecture</category>
      <category>Artificial Intelligence</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/ai-revolution-psychological-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Erin Doyle</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/ai-revolution-psychological-safety/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks</title>
      <link>https://www.infoq.com/presentations/building-internal-ai-agents/?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/building-internal-ai-agents/en/mediumimage/medium-1790246283432.jpeg"/&gt;&lt;p&gt;Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&amp;D.&lt;/p&gt; &lt;i&gt;By Ben Maraney&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Large language models</category>
      <category>Compliance</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Governance</category>
      <category>Productivity</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/building-internal-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Maraney</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/building-internal-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Uber Separates Scaling Intent From Execution on Kubernetes Platform</title>
      <link>https://www.infoq.com/news/2026/09/uber-kubernetes-scaling/?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/uber-kubernetes-scaling/en/headerimage/generatedHeaderImage-1790360989750.jpg"/&gt;&lt;p&gt;Uber has published a detailed account of its new ServiceScale controller, which allows multiple orchestrators to safely manage the scaling of the same Kubernetes workloads. The blog post, written by senior software engineers Egor Grishechko and Srikar Paruchuru, describes how the company separated scaling intent from execution to support regional failover without carrying reserved idle capacity.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/uber-kubernetes-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-09-28T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/uber-kubernetes-scaling/en</dc:identifier>
    </item>
    <item>
      <title>Linear Completes 1,000-PR Migration From styled-components to Meta's StyleX</title>
      <link>https://www.infoq.com/news/2026/09/linear-stylex-meta/?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/linear-stylex-meta/en/headerimage/generatedHeaderImage-1790325003090.jpg"/&gt;&lt;p&gt;Linear completed the transition of its React applications from styled-components to StyleX, Meta's CSS-in-JS library, involving over 1,000 pull requests. This migration aimed to enhance performance and enforce stricter component boundaries. The shift resulted in reduced main-thread work and improved navigation speeds, despite some criticism over StyleX's restrictive guidelines.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>CSS</category>
      <category>Facebook</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Styling</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 06:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/linear-stylex-meta/?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>2026-09-28T06:26:00Z</dc:date>
      <dc:identifier>/news/2026/09/linear-stylex-meta/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Foreign Key Constraints in Aurora DSQL</title>
      <link>https://www.infoq.com/news/2026/09/aurora-dsql-foreign-keys/?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/aurora-dsql-foreign-keys/en/headerimage/generatedHeaderImage-1788260510964.jpg"/&gt;&lt;p&gt;AWS recently announced that Aurora DSQL now supports foreign key constraints, allowing applications to enforce referential integrity directly in the database, including CASCADE, SET NULL, and other referential actions. The addition addresses a long-standing gap that users had explicitly called out as an adoption blocker.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Relational Databases</category>
      <category>Distributed Data</category>
      <category>Postgres</category>
      <category>Database</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 04:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/aurora-dsql-foreign-keys/?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>2026-09-28T04:54:00Z</dc:date>
      <dc:identifier>/news/2026/09/aurora-dsql-foreign-keys/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: TornadoVM 7.0, Groovy 6.0, GraalVM, Hibernate, Quarkus, Gradle, Maven</title>
      <link>https://www.infoq.com/news/2026/09/java-news-roundup-sep21-2026/?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/2026/09/java-news-roundup-sep21-2026/en/headerimage/java-news-roundup-image-1790515735386.jpg"/&gt;&lt;p&gt;This week's Java roundup for September 21st, 2026, features news highlighting: GA releases of TornadoVM 7.0 and Groovy 6.0; point releases of GraalVM and Gradle; maintenance releases of Quarkus and GDK for Micronaut; the seventh release candidate of Maven 4.0; milestone releases of Micrometer Metrics and Tracing; and beta releases of Open Liberty and Hibernate ORM.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>TornadoVM</category>
      <category>Open JDK</category>
      <category>Java</category>
      <category>Quarkus-Test</category>
      <category>JDK 28</category>
      <category>Groovy</category>
      <category>Gradle</category>
      <category>Open Liberty</category>
      <category>GraalVM</category>
      <category>Micrometer</category>
      <category>Hibernate ORM</category>
      <category>Jakarta EE</category>
      <category>Maven</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 28 Sep 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java-news-roundup-sep21-2026/?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>2026-09-28T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/09/java-news-roundup-sep21-2026/en</dc:identifier>
    </item>
    <item>
      <title>Google Rewrites Critical C Dependencies to Rust Using AI and Differential Fuzzing</title>
      <link>https://www.infoq.com/news/2026/09/c-rust-rewrite/?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/c-rust-rewrite/en/headerimage/generatedHeaderImage-1790493245314.jpg"/&gt;&lt;p&gt;Google's security team developed a method to replace legacy C code in the giflib image-processing library with Rust, targeting inherent memory vulnerabilities. They utilised an automated migration process, ensuring compatibility and zero-day vulnerability mitigation. The project successfully maintained runtime performance while demonstrating that AI translations require ongoing human oversight.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Harness</category>
      <category>Large language models</category>
      <category>Rust</category>
      <category>Memory Safety</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/c-rust-rewrite/?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>2026-09-27T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/c-rust-rewrite/en</dc:identifier>
    </item>
    <item>
      <title>Swift 6.4 Brings Subprocess 1.0, Improved Interoperability, Faster Wasm, and More</title>
      <link>https://www.infoq.com/news/2026/09/swift-6-4-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/swift-6-4-released/en/headerimage/swift-5-9-macros-1790514732520.jpeg"/&gt;&lt;p&gt;The latest release of Swift, Swift 6.4, introduces a range of language and tooling improvements, including better performance through expanded support for non-copyable values, up to 40 times faster Wasm generated code, improved interoperability with C++20 and Java, and a new Subprocess library that provides a cross-platform API for launching and interacting with external processes.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Programming Languages</category>
      <category>Open Source</category>
      <category>WebAssembly</category>
      <category>Apple</category>
      <category>Mobile</category>
      <category>C++20</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/swift-6-4-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>2026-09-27T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/swift-6-4-released/en</dc:identifier>
    </item>
    <item>
      <title>GKE Pod Snapshots Cut Model Load Times, and Move the Work to Snapshot Lifecycle Management</title>
      <link>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?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/gke-pod-snapshots-benchmarks/en/headerimage/generatedHeaderImage-1790233005037.jpg"/&gt;&lt;p&gt;Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature checkpoints CPU and GPU memory through gVisor into Cloud Storage. Practitioners have asked whether invalidation is the harder problem, since snapshots match on a spec hash, machine series, and kernel and driver versions.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Performance</category>
      <category>Kubernetes</category>
      <category>Google Cloud</category>
      <category>Architecture</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>Sun, 27 Sep 2026 06:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?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>2026-09-27T06:46:00Z</dc:date>
      <dc:identifier>/news/2026/09/gke-pod-snapshots-benchmarks/en</dc:identifier>
    </item>
    <item>
      <title>Docker Cloud Sandboxes Provide a Consistent Sandbox Abstraction across Laptop and Cloud</title>
      <link>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?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/docker-cloud-sandboxes/en/headerimage/dreamer-4-mincraft-agent-1790438799314.jpeg"/&gt;&lt;p&gt;Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardware-enforced microVM isolation, the platform provides a consistent execution environment and unified CLI workflows for seamlessly moving workloads from local machines to the cloud.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AI Security</category>
      <category>Containers</category>
      <category>Docker</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 26 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?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>2026-09-26T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/docker-cloud-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design</title>
      <link>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?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/adaptive-recommendation-systems-architecture/en/mediumimage/mallika-medium-1789632229433.jpeg"/&gt;&lt;p&gt;Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedback loops, retrieval freshness, multi-stage orchestration, and end-to-end latency budgeting enable systems to continuously learn and evolve in production under real-world operational constraints like latency, cost, and observability.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Data</category>
      <category>Performance</category>
      <category>QCon AI Boston 2026</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 26 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-09-26T11:00:00Z</dc:date>
      <dc:identifier>/presentations/adaptive-recommendation-systems-architecture/en</dc:identifier>
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