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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Google Open-Sources AX a Kubernetes Style Orchestrator for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?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/google-ax-orchestrator/en/headerimage/generatedHeaderImage-1790059907704.jpg"/&gt;&lt;p&gt;Google has open-sourced AX, an orchestrator designed for managing autonomous AI agent workloads. AX operates on a runtime, Agent Substrate, treating agents as stateful actors. It provides resource-efficient task suspension and resumption to optimise performance and reduce latency in idle phases. It features a control plane with Kubernetes-style primitives for managing agent tasks and resources.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Infrastructure</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?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>2026-09-22T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/google-ax-orchestrator/en</dc:identifier>
    </item>
    <item>
      <title>GitLab Duo Expands Self-Hosted AI Options Through Microsoft Foundry</title>
      <link>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?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/gitlab-microsoft-foundry/en/headerimage/generatedHeaderImage-1789544515151.jpg"/&gt;&lt;p&gt;GitLab has expanded GitLab Duo Self-Hosted to support models deployed through Microsoft Foundry, letting organizations run GitLab's AI development capabilities against models hosted in their chosen Azure environment.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>GitLab</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?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>2026-09-22T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/gitlab-microsoft-foundry/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering</title>
      <link>https://www.infoq.com/presentations/lessons-startup-engineering/?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/lessons-startup-engineering/en/mediumimage/david-medium-1789631290867.jpeg"/&gt;&lt;p&gt;David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.&lt;/p&gt; &lt;i&gt;By David Gudeman&lt;/i&gt;</description>
      <category>Startup</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Best Practices</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 22 Sep 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/lessons-startup-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>David Gudeman</dc:creator>
      <dc:date>2026-09-22T09:04:00Z</dc:date>
      <dc:identifier>/presentations/lessons-startup-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Changesets v3: Bumps Peer Dependents by Patch and Ships ESM Only with an 88% Smaller Install</title>
      <link>https://www.infoq.com/news/2026/09/changesets-v3-release/?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/changesets-v3-release/en/headerimage/generatedHeaderImage-1789995898981.jpg"/&gt;&lt;p&gt;Changesets v3.0, released on August 11, 2026, introduces significant updates for JavaScript monorepos. It offers leaner installations, a rebuilt CLI, and changes to peer dependency management that resolve long-standing complaints. Upgrading involves configuration updates. The tool focuses on versioning and changelogs while supporting contributors in declaring release intents.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>Automated Deployment</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/changesets-v3-release/?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>2026-09-22T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/changesets-v3-release/en</dc:identifier>
    </item>
    <item>
      <title>Out-of-Order HTML Streaming Moves from JS Frameworks into the Browser</title>
      <link>https://www.infoq.com/news/2026/09/native-deferred-html-streaming/?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/native-deferred-html-streaming/en/headerimage/generatedHeaderImage-1790034315151.jpg"/&gt;&lt;p&gt;Out-of-order HTML streaming, a user experience pattern popularized by front-end frameworks and that allows users to view and interact faster with a page before it is entirely loaded, is making its way to web browsers. The proposal has the browser patching placeholders as data arrives. Developers can use either declarative HTML or matching JavaScript APIs. Available in Chrome 151.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>React</category>
      <category>User Experience</category>
      <category>JavaScript</category>
      <category>HTML</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 23:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/native-deferred-html-streaming/?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>2026-09-21T23:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/native-deferred-html-streaming/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JDK 27, Open J Proxy, A2A Jakarta, Azul Payara, BoxLang, Netflix ja</title>
      <link>https://www.infoq.com/news/2026/09/java-news-roundup-sep14-2026/?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-sep14-2026/en/headerimage/java-news-roundup-image-1790009899544.jpg"/&gt;&lt;p&gt;This week's Java roundup for September 14th, 2026, features news highlighting: the GA release of JDK 27, LibericaJDK 27, Open J Proxy 1.0 and A2A Jakarta 1.0; point releases of Azul Payara, JHipster, JetBrains Ktor and BoxLang; and introducing Netflix ja, a modern JMS command line development experience for Java developers.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>JDK 27</category>
      <category>LibericaJDK</category>
      <category>Java</category>
      <category>Netflix</category>
      <category>JHipster</category>
      <category>Open J Proxy</category>
      <category>JDK 28</category>
      <category>BoxLang</category>
      <category>Jakarta EE</category>
      <category>Ktor</category>
      <category>Agent2Agent</category>
      <category>Azul Payara</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/java-news-roundup-sep14-2026/?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>2026-09-21T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/java-news-roundup-sep14-2026/en</dc:identifier>
    </item>
    <item>
      <title>Uber Redesigns M3DB Sharding with Subclusters to Limit Failure Impact</title>
      <link>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?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-m3db-subcluster-sharding/en/headerimage/generatedHeaderImage-1788717337142.jpg"/&gt;&lt;p&gt;Uber has redesigned shard placement in M3DB with fixed size subclusters to limit the impact of node failures, maintenance, and cluster scaling. The approach bounds shard dependencies, preserves replica isolation, and uses a greedy algorithm to select shard migrations while avoiding a separate rebalancing pass and unnecessary data movement.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Database</category>
      <category>Database Replication</category>
      <category>Load Balancing</category>
      <category>Sharding</category>
      <category>Availability</category>
      <category>Distributed Systems</category>
      <category>Clusters</category>
      <category>Scalability</category>
      <category>Time Series Data</category>
      <category>Open Source</category>
      <category>Uber</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Fault Tolerance</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 14:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?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>2026-09-21T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/09/uber-m3db-subcluster-sharding/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces the Agent Development Lifecycle Stack to Replace Traditional SDLC</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-adlc-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/news/2026/09/cloudflare-adlc-agents/en/headerimage/headerADLC-1789999617492.jpg"/&gt;&lt;p&gt;Cloudflare has introduced the Agent Development Lifecycle to enhance AI-driven engineering. The approach replaces the traditional SDLC, addressing bottlenecks in testing, deployment, and maintenance. Key components include automated software factories, dynamic orchestration, advanced observability, and a security model for autonomous agents, aiming for more efficient software management.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Quality</category>
      <category>Agentic Development Lifecycle</category>
      <category>Delivering Quality</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-adlc-agents/?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>2026-09-21T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-adlc-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond Relevance: A Governance-First Architecture for Enterprise Personalization</title>
      <link>https://www.infoq.com/articles/architecture-enterprise-personalization-relevance-governance/?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/architecture-enterprise-personalization-relevance-governance/en/headerimage/Beyond-Relevance-A-Governance-First-Architecture-for-Enterprise-Personalization-header-1789730126317.jpg"/&gt;&lt;p&gt;This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphasizes separating relevance from governance to ensure recommendations are context-aware, auditable, and compliant. The architecture integrates stateful memory, policy-driven AI orchestration, and explainable scoring to enhance personalization systems.&lt;/p&gt; &lt;i&gt;By Jerald Selvaraj&lt;/i&gt;</description>
      <category>Enterprise Architecture</category>
      <category>Rules Engines</category>
      <category>Large language models</category>
      <category>SQLite</category>
      <category>Machine Learning</category>
      <category>Routing</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 21 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/architecture-enterprise-personalization-relevance-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jerald Selvaraj</dc:creator>
      <dc:date>2026-09-21T11:00:00Z</dc:date>
      <dc:identifier>/articles/architecture-enterprise-personalization-relevance-governance/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Securing AI Agents: Identity, Authorization, and the DPACT Framework</title>
      <link>https://www.infoq.com/podcasts/securing-ai-agents-identity-authorization/?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/securing-ai-agents-identity-authorization/en/smallimage/infoq-podcast-500-logo-1789392042850.jpg"/&gt;&lt;p&gt;In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.&lt;/p&gt; &lt;i&gt;By Sahil Agarwal&lt;/i&gt;</description>
      <category>Identity Management</category>
      <category>AI Security</category>
      <category>Authorization</category>
      <category>The InfoQ Podcast</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 21 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/securing-ai-agents-identity-authorization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sahil Agarwal</dc:creator>
      <dc:date>2026-09-21T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/securing-ai-agents-identity-authorization/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents</title>
      <link>https://www.infoq.com/presentations/ai-agent-harness/?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-agent-harness/en/mediumimage/vino-medium-1789631870270.jpeg"/&gt;&lt;p&gt;OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge.&lt;/p&gt; &lt;i&gt;By Vinoth Govindarajan&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>QCon AI Boston 2026</category>
      <category>OpenAI</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>AI Harness</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 21 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-agent-harness/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Vinoth Govindarajan</dc:creator>
      <dc:date>2026-09-21T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-agent-harness/en</dc:identifier>
    </item>
    <item>
      <title>AWS Cannot Restore Data Held Only in Damaged Middle East Availability Zones</title>
      <link>https://www.infoq.com/news/2026/09/aws-middle-east-data-loss/?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;AWS has told customers it cannot restore resources and data hosted exclusively in the mec1-az2 availability zone in the UAE, or exclusively in the Bahrain region, after damage during the conflict with Iran. The company says the Bahrain damage spanned multiple availability zones and exceeded what its regional and multi-AZ services are designed to withstand.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AWS</category>
      <category>Reliability</category>
      <category>Compliance</category>
      <category>Fault Tolerance</category>
      <category>Infrastructure</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 08:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/aws-middle-east-data-loss/?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>2026-09-21T08:43:00Z</dc:date>
      <dc:identifier>/news/2026/09/aws-middle-east-data-loss/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes 1.37 Released: Stable Metrics API  and Rootless Kubelet in Beta</title>
      <link>https://www.infoq.com/news/2026/09/kubernetes-1-37/?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;The Cloud Native Computing Foundation (CNCF) announced the release of Kubernetes 1.37, named "Garhwal", emphasizing its focus on stability, security,   and AI/ML workload optimization.&lt;/p&gt; &lt;i&gt;By Mostafa Radwan&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Kubernetes</category>
      <category>Cloud Computing</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 21 Sep 2026 01:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/kubernetes-1-37/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mostafa Radwan</dc:creator>
      <dc:date>2026-09-21T01:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/kubernetes-1-37/en</dc:identifier>
    </item>
    <item>
      <title>Bun Rewrites 535K Lines of Zig into Rust in Four Months, Eliminates Numerous Memory Leaks</title>
      <link>https://www.infoq.com/news/2026/09/bun-AI-rewrite-zig-rust-4-months/?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/bun-AI-rewrite-zig-rust-4-months/en/headerimage/generatedHeaderImage-1789932023289.jpg"/&gt;&lt;p&gt;Bun creator Jarred Sumner recently announced that Bun, the JavaScript/TypeScript runtime, bundler and package manager has been rewritten from Zig to Rust. The rewrite seeks to eliminate recurrent memory safety vulnerabilities via Rust’s borrow checker. The AI-assisted rewrite was released after 4 months of work instead of the estimated one year.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>System Programming</category>
      <category>AI Assisted Coding</category>
      <category>Bundlers</category>
      <category>Rust</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 19:51:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/bun-AI-rewrite-zig-rust-4-months/?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>2026-09-20T19:51:00Z</dc:date>
      <dc:identifier>/news/2026/09/bun-AI-rewrite-zig-rust-4-months/en</dc:identifier>
    </item>
    <item>
      <title>Alibaba Open Sources OpenCodeReview for AI-Assisted Code Review</title>
      <link>https://www.infoq.com/news/2026/09/alibaba-opencodereview/?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/alibaba-opencodereview/en/headerimage/generatedHeaderImage-1789473748016.jpg"/&gt;&lt;p&gt;Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and rule matching with an LLM agent for dynamic code analysis. It supports built-in checks for issues such as null-pointer exceptions, thread safety, XSS, and SQL injection.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Static Analysis</category>
      <category>Agents</category>
      <category>Agentic AI Architecture</category>
      <category>Code Reviews</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 20 Sep 2026 11:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/alibaba-opencodereview/?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>2026-09-20T11:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/alibaba-opencodereview/en</dc:identifier>
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