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    <title>Trajectory Learning on Programmer.ie: Modern AI programming</title>
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    <lastBuildDate>Sun, 09 Aug 2026 10:33:00 +0100</lastBuildDate>
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      <title>Advanced Agents From First Principles 14: Can Your Agent Learn From Its Own Trajectories Without Learning the Wrong Lessons?</title>
      <link>http://programmer.ie/post/advanced-agents-from-first-principles-14/</link>
      <pubDate>Sun, 09 Aug 2026 10:33:00 +0100</pubDate>
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      <description>&lt;p&gt;An advanced agent now leaves behind something extremely valuable:&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;evidence.&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;p&gt;Not merely chat history.&lt;/p&gt;&#xA;&lt;p&gt;Not merely model outputs.&lt;/p&gt;&#xA;&lt;p&gt;Not merely traces.&lt;/p&gt;&#xA;&lt;p&gt;A sufficiently instrumented system can record:&lt;/p&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;what state it was in,&lt;/li&gt;&#xA;&lt;li&gt;what alternatives it considered,&lt;/li&gt;&#xA;&lt;li&gt;which route it selected,&lt;/li&gt;&#xA;&lt;li&gt;what branches it pruned,&lt;/li&gt;&#xA;&lt;li&gt;which model or specialist it escalated to,&lt;/li&gt;&#xA;&lt;li&gt;which tools it called,&lt;/li&gt;&#xA;&lt;li&gt;which critic changed the answer,&lt;/li&gt;&#xA;&lt;li&gt;what verification evidence was produced,&lt;/li&gt;&#xA;&lt;li&gt;how much compute was spent,&lt;/li&gt;&#xA;&lt;li&gt;and whether the final result actually passed.&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;p&gt;That immediately suggests a tempting idea:&lt;/p&gt;</description>
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