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    <title>DEV Community: Shreshta Poojari</title>
    <description>The latest articles on DEV Community by Shreshta Poojari (@shreshta_poojari_f51a6c09).</description>
    <link>https://dev.to/shreshta_poojari_f51a6c09</link>
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      <title>DEV Community: Shreshta Poojari</title>
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      <title>I Taught an Engineering Agent to Remember What Failed</title>
      <dc:creator>Shreshta Poojari</dc:creator>
      <pubDate>Tue, 29 Sep 2026 17:52:31 +0000</pubDate>
      <link>https://dev.to/shreshta_poojari_f51a6c09/i-taught-an-engineering-agent-to-remember-what-failed-225a</link>
      <guid>https://dev.to/shreshta_poojari_f51a6c09/i-taught-an-engineering-agent-to-remember-what-failed-225a</guid>
      <description>&lt;h1&gt;
  
  
  𝗔𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗳𝗼𝗿𝗴𝗲𝘁𝘀 𝗶𝘀 𝗳𝗼𝗿𝗰𝗲𝗱 𝘁𝗼 𝗿𝗲𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴.
&lt;/h1&gt;

&lt;p&gt;𝗔𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗿𝗲𝗺𝗲𝗺𝗯𝗲𝗿𝘀 𝗰𝗮𝗻 𝗶𝗻𝗵𝗲𝗿𝗶𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲.&lt;/p&gt;

&lt;h1&gt;
  
  
  I Built an AI Agent That Remembers What Failed
&lt;/h1&gt;

&lt;p&gt;The frustrating thing about an AI engineering agent isn't that it gives a wrong answer.&lt;/p&gt;

&lt;p&gt;It's that tomorrow, after the same incident happens again, it can give you the same wrong answer with complete confidence.&lt;/p&gt;

&lt;p&gt;It doesn't remember that the team already tried it.&lt;/p&gt;

&lt;p&gt;It doesn't remember why the architecture was chosen.&lt;/p&gt;

&lt;p&gt;It doesn't remember what actually fixed the incident.&lt;/p&gt;

&lt;p&gt;So I built RECALL to explore a simple question:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What changes when an engineering agent can remember the experiences of the organization it works for?&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;RECALL is an AI engineering agent with persistent organizational memory. It uses Hindsight to retain and recall engineering incidents, architectural decisions, failures, resolutions, and lessons learned.&lt;/p&gt;

&lt;p&gt;The goal isn't to make an agent remember everything.&lt;/p&gt;

&lt;p&gt;The goal is to make it remember the things that matter when the next problem arrives.&lt;/p&gt;




&lt;h2&gt;
  
  
  The problem with starting every incident from zero
&lt;/h2&gt;

&lt;p&gt;Imagine you're investigating a Payment API that suddenly became slow.&lt;/p&gt;

&lt;p&gt;A typical AI assistant might look at the current symptoms and suggest:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;increase replicas&lt;/li&gt;
&lt;li&gt;add caching&lt;/li&gt;
&lt;li&gt;optimize database queries&lt;/li&gt;
&lt;li&gt;check network latency&lt;/li&gt;
&lt;li&gt;inspect CPU and memory&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Those aren't necessarily bad suggestions.&lt;/p&gt;

&lt;p&gt;But your engineering team might already know something important:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;We had this problem before.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Three weeks ago, the Payment API experienced severe latency.&lt;/p&gt;

&lt;p&gt;The team tried increasing service replicas.&lt;/p&gt;

&lt;p&gt;It didn't help.&lt;/p&gt;

&lt;p&gt;The actual root cause was database connection pool exhaustion.&lt;/p&gt;

&lt;p&gt;The fix was increasing the database connection pool from &lt;strong&gt;100 to 250&lt;/strong&gt;.&lt;/p&gt;

&lt;p&gt;That information is incredibly valuable.&lt;/p&gt;

&lt;p&gt;But only if the agent can retrieve it when the next incident happens.&lt;/p&gt;

&lt;p&gt;This became the central idea behind RECALL.&lt;/p&gt;




&lt;h2&gt;
  
  
  From chat history to engineering experience
&lt;/h2&gt;

&lt;p&gt;I didn't want to build another chatbot that simply retrieves documentation.&lt;/p&gt;

&lt;p&gt;I wanted the agent's memory to represent &lt;strong&gt;experience&lt;/strong&gt;.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fjjzv0isq1cloiq1kyarq.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fjjzv0isq1cloiq1kyarq.jpg" alt=" " width="800" height="455"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>agents</category>
      <category>workplace</category>
      <category>python</category>
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