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      <title>AI Code Review at Scale: LinkedIn's Multi-Agent Approach</title>
      <link>https://www.infoq.com/news/2026/08/linkedin-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/linkedin-ai-code-review/en/headerimage/linkedin-code-review-1787387463447.jpeg"/&gt;&lt;p&gt;At LinkedIn's scale, relying solely on human reviewers or simply putting an off-the-shelf AI reviewer in front of GitHub is not an effective way to manage PRs. To address this, LinkedIn engineers built a multi-agent AI code review platform that understands the organizationâ€™s coding context, treats code review as production infrastructure, and minimizes hallucinations and low-signal feedback.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>LinkedIn</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Kubernetes</category>
      <category>Code Reviews</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
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      <pubDate>Sat, 22 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/linkedin-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-22T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/linkedin-ai-code-review/en</dc:identifier>
    </item>
    <item>
      <title>Flux Mirror Uses Gitless GitOps to Keep Software Supply Chain under Control</title>
      <link>https://www.infoq.com/news/2026/08/flux-mirror-gitless-gitops/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/flux-mirror-gitless-gitops/en/headerimage/generatedHeaderImage-1787065801496.jpg"/&gt;&lt;p&gt;Flux has introduced Flux Mirror, a CLI plugin that mirrors container images, Helm charts and OCI artifacts between registries from a declarative configuration. The plugin is part of the Flux v2.9 CLI plugin system and is presented as a way to keep Kubernetes clusters reconciling only from registries that teams operate themselves.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Software Supply Chain</category>
      <category>Kubernetes</category>
      <category>GitOps</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 20 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/flux-mirror-gitless-gitops/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-08-20T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/flux-mirror-gitless-gitops/en</dc:identifier>
    </item>
    <item>
      <title>Kubeflow Expands AI Capabilities as CNCF Graduation Nears</title>
      <link>https://www.infoq.com/news/2026/08/kubeflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/kubeflow/en/headerimage/generatedHeaderImage-1786662140696.jpg"/&gt;&lt;p&gt;The Kubeflow project has unveiled several technical updates to enhance distributed AI and high-performance computing on Kubernetes. These advancements include Kale 2.0, a modernised SDK with native Spark support, and expanded capabilities for the Kubeflow Trainer. The developments arrive as the project moves towards graduation from the Cloud Native Computing Foundation.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>AIOps</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/kubeflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-08-14T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/kubeflow/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Adopts Cloud-Native Job Queueing System Kueue to Replace an In-House Solution</title>
      <link>https://www.infoq.com/news/2026/08/netflix-kueue-kubernetes-batch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/netflix-kueue-kubernetes-batch/en/headerimage/generatedHeaderImage-1786536066027.jpg"/&gt;&lt;p&gt;Netflix migrated most of its batch workloads onto Kueue, an open-source cloud-native batch job execution system that has outgrown its homegrown solution over the years. The company mapped the capabilities previously created in-house to Kueue’s functionality and also benefited from new features that would have been costly to incorporate into its homegrown solution.&lt;/p&gt; &lt;i&gt;By Rafał Gancarz&lt;/i&gt;</description>
      <category>Batch Processing</category>
      <category>Cloud Native Architecture</category>
      <category>Kubernetes</category>
      <category>Cell-Based Architecture</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 12 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/netflix-kueue-kubernetes-batch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Kubernetes-news</guid>
      <dc:creator>Rafał Gancarz</dc:creator>
      <dc:date>2026-08-12T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/netflix-kueue-kubernetes-batch/en</dc:identifier>
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