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    <item>
      <title>Uber Migrates 75,000+ Test Classes from Junit 4 to Junit 5 Using Automated Code Transformation</title>
      <link>https://www.infoq.com/news/2026/04/uber-junit4-junit5-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/uber-junit4-junit5-migration/en/headerimage/generatedHeaderImage-1776546803798.jpg"/&gt;&lt;p&gt;Uber engineers migrated over 75,000 test classes from JUnit 4 to JUnit 5 using automated code transformation with OpenRewrite and internal orchestration. By enabling the JUnit Platform for dual execution with Bazel and validating changes through CI, the team modernized testing infrastructure while maintaining correctness at monorepo scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Large Concept Models</category>
      <category>Test Automation</category>
      <category>JUnit</category>
      <category>Unit Testing</category>
      <category>Productivity</category>
      <category>Orchestration</category>
      <category>Bazel</category>
      <category>AI Coding</category>
      <category>migration</category>
      <category>Developer Experience</category>
      <category>AI Development</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 27 Apr 2026 14:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/uber-junit4-junit5-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-27T14:07:00Z</dc:date>
      <dc:identifier>/news/2026/04/uber-junit4-junit5-migration/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=AI+Development-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>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Automated Deployment</category>
      <category>Claude</category>
      <category>Anthropic</category>
      <category>Workflow Foundation</category>
      <category>Large language models</category>
      <category>AIOps</category>
      <category>AI Development</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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=AI+Development-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>Designing Memory for AI Agents: inside Linkedin’s Cognitive Memory Agent</title>
      <link>https://www.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/en/headerimage/memorylayer-1776233312896.jpeg"/&gt;&lt;p&gt;LinkedIn introduces Cognitive Memory Agent (CMA),  generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Context-Augmented Generation</category>
      <category>Agents</category>
      <category>Memory</category>
      <category>AI Architecture</category>
      <category>Evolutionary Architecture</category>
      <category>Platform Engineering</category>
      <category>Distributed Systems</category>
      <category>Large language models</category>
      <category>AI Development</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 20 Apr 2026 14:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Development-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-20T14:59:00Z</dc:date>
      <dc:identifier>/news/2026/04/linkedin-cognitive-memory-agent/en</dc:identifier>
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