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      <title>Anthropic  Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-three-agent-harness-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/anthropic-three-agent-harness-ai/en/headerimage/generatedHeaderImage-1774590768994.jpg"/&gt;&lt;p&gt;Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>autonomous</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Architecture</category>
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      <pubDate>Sat, 04 Apr 2026 14:24:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-04T14:24:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-three-agent-harness-ai/en</dc:identifier>
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