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    <title>DEV Community: Amin Boutarfi</title>
    <description>The latest articles on DEV Community by Amin Boutarfi (@aminboutarfi).</description>
    <link>https://dev.to/aminboutarfi</link>
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      <title>DEV Community: Amin Boutarfi</title>
      <link>https://dev.to/aminboutarfi</link>
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      <title>The Tradeoffs Behind AI Agents</title>
      <dc:creator>Amin Boutarfi</dc:creator>
      <pubDate>Sun, 21 Dec 2025 17:11:54 +0000</pubDate>
      <link>https://dev.to/aminboutarfi/the-tradeoffs-behind-ai-agents-1135</link>
      <guid>https://dev.to/aminboutarfi/the-tradeoffs-behind-ai-agents-1135</guid>
      <description>&lt;p&gt;AI agents are powerful, practical, and already being used in real-world systems — from automation and research to coding and multi-step reasoning.&lt;/p&gt;

&lt;p&gt;In this video, we do not argue against AI agents.&lt;br&gt;
Instead, we take an engineering-first approach.&lt;/p&gt;

&lt;p&gt;We break down how AI agents actually work under the hood — autonomy, Chain-of-Thought, tool use, memory, planning, exploration, and stochastic sampling — and explain the tradeoffs each design choice introduces.&lt;/p&gt;

&lt;p&gt;Every increase in capability comes with a cost:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;more autonomy means less reliability&lt;/li&gt;
&lt;li&gt;deeper reasoning increases error propagation and cost&lt;/li&gt;
&lt;li&gt;tool use adds latency and brittleness&lt;/li&gt;
&lt;li&gt;memory improves continuity but increases hallucination risk&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;AI agents are extremely useful and will continue to shape modern systems.&lt;br&gt;
But understanding them through tradeoffs is what allows engineers to build reliable, scalable, production-grade solutions.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>agents</category>
      <category>llm</category>
      <category>rag</category>
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      <title>The Tradeoffs Behind Redis's Speed</title>
      <dc:creator>Amin Boutarfi</dc:creator>
      <pubDate>Sun, 21 Dec 2025 17:09:35 +0000</pubDate>
      <link>https://dev.to/aminboutarfi/the-tradeoffs-behind-rediss-speed-3mb9</link>
      <guid>https://dev.to/aminboutarfi/the-tradeoffs-behind-rediss-speed-3mb9</guid>
      <description>&lt;p&gt;Redis is famously fast — millions of operations per second, in-memory performance, and a simple design that powers caching, session stores, queues, real-time systems, and more.&lt;/p&gt;

&lt;p&gt;This video doesn’t question Redis’ strengths.&lt;br&gt;
Instead, it explores why Redis is so fast, and the engineering tradeoffs that make that speed possible.&lt;/p&gt;

&lt;p&gt;From in-memory storage and simple protocols to single-threaded execution and optimized data structures, we break down the design choices behind Redis’ performance — and what each of those choices gives you, and what they take away.&lt;/p&gt;

&lt;p&gt;If you enjoy understanding technology through the tradeoffs that shape it, this video is for you.&lt;/p&gt;

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      <category>redis</category>
      <category>architecture</category>
      <category>optimization</category>
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