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    <title>InfoQ - Artificial Intelligence - News</title>
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    <description>InfoQ Artificial Intelligence News feed</description>
    <item>
      <title>How Observability and Telemetry Can Enhance the Practice of Software Engineering</title>
      <link>https://www.infoq.com/news/2026/04/observability-telemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Observability must evolve with serverless, event-driven architectures. OpenTelemetry can decouple telemetry from vendors, letting developers emit consistent, high-quality data that explains real system behavior. Shared vocabularies and good telemetry make debugging faster and improve reliability, speed, and developer productivity.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Debugging</category>
      <category>OpenTelemetry</category>
      <category>Telemetry</category>
      <category>Monitoring</category>
      <category>Observability</category>
      <category>GOTO Conference</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 23 Apr 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/observability-telemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-04-23T11:04:00Z</dc:date>
      <dc:identifier>/news/2026/04/observability-telemetry/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Sandboxes Reach General Availability, Giving AI Agents Persistent Isolated Environments</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-sandboxes-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/cloudflare-sandboxes-ga/en/headerimage/generatedHeaderImage-1776749566952.jpg"/&gt;&lt;p&gt;Cloudflare has released Sandboxes and Containers into general availability, providing persistent isolated Linux environments for AI agent workloads. New capabilities include secure credential injection via egress proxy, PTY terminal support, persistent code interpreters, filesystem watching, and snapshot-based session recovery. Active CPU pricing charges only for used cycles.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>Cloudflare</category>
      <category>Linux</category>
      <category>Cloud</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 22 Apr 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-sandboxes-ga/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-04-22T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-sandboxes-ga/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Introduces Managed Agents to Simplify AI Agent Deployment</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-managed-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/anthropic-managed-agents/en/headerimage/generatedHeaderImage-1776566447284.jpg"/&gt;&lt;p&gt;Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>AI Development</category>
      <category>Agents</category>
      <category>AIOps</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>Workflow Foundation</category>
      <category>Claude</category>
      <category>Automated Deployment</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/anthropic-managed-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-21T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-managed-agents/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses</title>
      <link>https://www.infoq.com/news/2026/04/github-outages-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/github-outages-scaling/en/headerimage/generatedHeaderImage-1776504516196.jpg"/&gt;&lt;p&gt;GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Scaling</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/github-outages-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-04-21T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/github-outages-scaling/en</dc:identifier>
    </item>
    <item>
      <title>CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads</title>
      <link>https://www.infoq.com/news/2026/04/kubernetes-secure-workloads/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/kubernetes-secure-workloads/en/headerimage/generatedHeaderImage-1775830657737.jpg"/&gt;&lt;p&gt;A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and isolating workloads, it does not inherently understand or control the behavior of AI systems, creating a fundamentally different and more complex threat model.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Kubernetes</category>
      <category>Large language models</category>
      <category>Cloud Security</category>
      <category>Cloud Native Computing Foundation</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/kubernetes-secure-workloads/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-04-17T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/kubernetes-secure-workloads/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Introduces Agent-Based Code Review for Claude Code</title>
      <link>https://www.infoq.com/news/2026/04/claude-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/claude-code-review/en/headerimage/generatedHeaderImage-1776367713481.jpg"/&gt;&lt;p&gt;Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using multiple AI reviewers.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>github</category>
      <category>Artificial Intelligence</category>
      <category>Code Reviews</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>Claude</category>
      <category>Code Generation</category>
      <category>Software Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Apr 2026 10:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/claude-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-04-17T10:16:00Z</dc:date>
      <dc:identifier>/news/2026/04/claude-code-review/en</dc:identifier>
    </item>
    <item>
      <title>Cursor 3 Introduces Agent-First Interface, Moving beyond the IDE Model</title>
      <link>https://www.infoq.com/news/2026/04/cursor-3-agent-first-interface/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/cursor-3-agent-first-interface/en/headerimage/generatedHeaderImage-1776081399414.jpg"/&gt;&lt;p&gt;Anysphere released Cursor 3, a redesigned interface built from scratch that shifts the primary model from file editing to managing parallel coding agents. The new workspace supports local-to-cloud agent handoff, multi-repo parallel execution, and a plugin marketplace. Community reaction has been divided, with developers questioning cost overhead and the move away from Cursor's IDE-first identity.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Developer Experience</category>
      <category>AI Development</category>
      <category>IDE</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 16 Apr 2026 09:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cursor-3-agent-first-interface/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-04-16T09:37:00Z</dc:date>
      <dc:identifier>/news/2026/04/cursor-3-agent-first-interface/en</dc:identifier>
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