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    <title>Ml-Engineering on ROBOCO</title>
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      <title>Serverless Autoresearch: A Record of Making an ML Experiment Pipeline Serverless Through Vibe Coding</title>
      <link>https://roboco.io/en/posts/serverless-autoresearch-vibe-coding/</link>
      <pubDate>Sun, 29 Mar 2026 16:00:00 +0900</pubDate>
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      <description>&lt;blockquote&gt;&#xA;&lt;p&gt;The real value of vibe coding is not only in writing code fast. It is in designing a way of operating that lets you repeat expensive experiments more cheaply and more quickly.&lt;/p&gt;&#xA;&lt;/blockquote&gt;&#xA;&lt;figure&gt;&lt;img src=&#34;https://roboco.io/posts/images/Dohyun.png&#34;&gt;&lt;figcaption&gt;&#xA;      &lt;h4&gt;Dohyun Jung - Principal Consultant, ROBOCO&lt;/h4&gt;&#xA;    &lt;/figcaption&gt;&#xA;&lt;/figure&gt;&#xA;&#xA;&lt;p&gt;Most people first associate vibe coding with web app prototyping or CRUD automation. But ROBOCO&amp;rsquo;s &lt;a href=&#34;https://github.com/roboco-io/serverless-autoresearch&#34;&gt;&lt;code&gt;serverless-autoresearch&lt;/code&gt;&lt;/a&gt; repository widens that frame considerably. Instead of the &amp;ldquo;tie up a single H100 for several hours&amp;rdquo; approach that Andrej Karpathy&amp;rsquo;s &lt;code&gt;autoresearch&lt;/code&gt; presupposes, this project builds a structure that runs parallel experiments in short, explosive bursts on AWS SageMaker Spot.&lt;sup id=&#34;fnref:1&#34;&gt;&lt;a href=&#34;#fn:1&#34; class=&#34;footnote-ref&#34; role=&#34;doc-noteref&#34;&gt;1&lt;/a&gt;&lt;/sup&gt;&lt;/p&gt;</description>
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