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    <title>dial9-rs</title>
    <subtitle>A microscope for Tokio and Rust applications</subtitle>
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    <updated>2026-05-30T00:00:00+00:00</updated>
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    <entry xml:lang="en">
        <title>3 bugs that aren&#x27;t in dial9</title>
        <published>2026-05-30T00:00:00+00:00</published>
        <updated>2026-05-30T00:00:00+00:00</updated>
        
        <author>
          <name>
            Russell Cohen
          </name>
        </author>
        
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        <summary type="html">&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;github.com&#x2F;dial9-rs&#x2F;dial9&quot;&gt;dial9&lt;&#x2F;a&gt; is a microscope for Tokio (and Rust applications in general): its compact binary format can record a log of runtime events so you can reconstruct what actually happened to understand bugs and performance behavior. It runs in production, where bugs have real blast radius.&lt;&#x2F;p&gt;
&lt;p&gt;As much as we attempt to avoid it, dial9 still has bugs. We catch most in CI, some in PR review, and some are discovered by customers.&lt;&#x2F;p&gt;
&lt;p&gt;We use AI to help build dial9, but this presents a challenge: today&#x27;s models are jagged: strong in one domain, weak in another. Folks are probably familiar with &quot;&lt;em&gt;How many r&#x27;s are in Strawberry&lt;&#x2F;em&gt;&quot; or &quot;&lt;em&gt;I want to wash my car, the car wash is 50m away. Should I walk or drive?&lt;&#x2F;em&gt;&quot; These are real but don&#x27;t really capture what this looks like in practice. Here are three examples we hit building dial9.&lt;&#x2F;p&gt;
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