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    <title>Developers Digest - Hugging Face</title>
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    <lastBuildDate>Tue, 05 May 2026 08:38:12 GMT</lastBuildDate>
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      <title>Developers Digest - Hugging Face</title>
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      <title><![CDATA[ML Intern Shows Where Coding Agents Are Heading: Domain Tools, Not Generic Chat]]></title>
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      <description><![CDATA[Hugging Face's ml-intern is trending because it narrows the agent loop around one domain: papers, datasets, model training, Hub traces, and ML shipping workflows.]]></description>
      <pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate>
      <category>AI Coding</category>
      <category>Hugging Face</category>
      <category>ML Engineering</category>
      <category>Agents</category>
      <category>Open Source</category>
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      <title><![CDATA[mlinter: Hugging Face's New Linter for Transformers Modeling Files]]></title>
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      <description><![CDATA[Hugging Face shipped mlinter, the first credible CI tool for transformers modeling code. Here is how to add it to your pipeline today and where it fits the agent stack.]]></description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <category>Hugging Face</category>
      <category>mlinter</category>
      <category>ML Tooling</category>
      <category>CI/CD</category>
      <category>Transformers</category>
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      <title><![CDATA[KV Caching: A Practical Guide to Optimizing Transformer Inference]]></title>
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      <description><![CDATA[How KV caching speeds up LLM inference - the math, the code, the memory tradeoffs, and when it stops helping. Every dev running local models hits this wall.]]></description>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <category>LLM</category>
      <category>Inference</category>
      <category>Optimization</category>
      <category>Hugging Face</category>
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