<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LangGraph on Amine El Farssi</title><link>https://amineelfarssi.github.io/tags/langgraph/</link><description>Recent content in LangGraph on Amine El Farssi</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Amine El Farssi</copyright><lastBuildDate>Mon, 02 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://amineelfarssi.github.io/tags/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>Enterprise AI Agents</title><link>https://amineelfarssi.github.io/projects/ai-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://amineelfarssi.github.io/projects/ai-agents/</guid><description>&lt;p&gt;&lt;span class="flex cursor-pointer"&gt;
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AWS Bedrock
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LangGraph
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Python
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AgentOps
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Production
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&lt;/p&gt;</description></item><item><title>9 AI Agents Building My Startup: How I Run a Software Team with $0 Salaries</title><link>https://amineelfarssi.github.io/blog/multi-agent-startup/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>https://amineelfarssi.github.io/blog/multi-agent-startup/</guid><description>&lt;div class="lead text-neutral-500 dark:text-neutral-400 !mb-9 text-xl"&gt;
Luminar has 173 source files, 21,586 lines of production code, 43 API endpoints, and 155+ tests. It was built almost entirely by AI agents. Here&amp;rsquo;s the team structure, the workflow, and the honest truth about what breaks.
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&lt;h2 class="relative group"&gt;The Team
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&lt;p&gt;I didn&amp;rsquo;t want generic agents. I wanted specialists — each with a clear domain, sharp ownership boundaries, and a persona that shapes how they approach problems.&lt;/p&gt;</description></item><item><title>Agentic Frameworks Deep Dive: pi-agent-core vs Google ADK vs AWS Strands vs CrewAI vs LangGraph vs Pydantic AI</title><link>https://amineelfarssi.github.io/blog/agentic-frameworks-comparison/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://amineelfarssi.github.io/blog/agentic-frameworks-comparison/</guid><description>&lt;div class="lead text-neutral-500 dark:text-neutral-400 !mb-9 text-xl"&gt;
Building production AI agents requires choosing the right framework. This analysis examines &lt;strong&gt;pi-agent-core&lt;/strong&gt; (OpenClaw&amp;rsquo;s runtime), &lt;strong&gt;Google ADK&lt;/strong&gt;, &lt;strong&gt;AWS Strands&lt;/strong&gt;, &lt;strong&gt;CrewAI&lt;/strong&gt;, &lt;strong&gt;LangGraph&lt;/strong&gt;, and &lt;strong&gt;Pydantic AI&lt;/strong&gt; across critical dimensions: sessions, memory, protocols, agent loops, and replay support.
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