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        <title>AI Agents - Tag - Mansour Rahimi</title>
        <link>https://mansour.dev/tags/ai-agents/</link>
        <description>AI Agents - Tag - Mansour Rahimi</description>
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    <title>Introducing Orxest: Exploring the AI Software Factory</title>
    <link>https://mansour.dev/orxest/</link>
    <pubDate>Mon, 19 Oct 2026 16:00:00 &#43;0200</pubDate>
    <author>Mansour</author>
    <guid>https://mansour.dev/orxest/</guid>
    <description><![CDATA[<div class="featured-image">
                <img src="/images/orxest.jpg" referrerpolicy="no-referrer">
            </div><p>AI coding agents are getting better but generating code is only one part of software engineering. Breaking down work, coordinating agents, testing changes, and maintaining control over the development process are equally important.</p>
<p>That&rsquo;s why I&rsquo;m building <strong><a href="https://github.com/orxest/orxest" target="_blank" rel="noopener noreffer ">Orxest</a></strong> - an open-source project exploring how to orchestrate AI coding agents into a software development workflow.</p>
<p>The idea is to move beyond one-off prompts and individual coding sessions toward a system where specialized coding agents can collaborate on well-defined tasks, supported by the right workflows and engineering practices.</p>]]></description>
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<item>
    <title>Building a Local AI Agent</title>
    <link>https://mansour.dev/iris/</link>
    <pubDate>Sun, 18 Oct 2026 10:00:00 &#43;0200</pubDate>
    <author>Mansour</author>
    <guid>https://mansour.dev/iris/</guid>
    <description><![CDATA[<p>Recently I was working on building a local AI agent <strong><a href="https://github.com/m4ns0ur/iris" target="_blank" rel="noopener noreffer ">Iris</a></strong>. An open-source project experiencing how to build a practical AI assistant that runs locally and can do more than just answer questions.</p>
<p>My focus is on the foundations of a capable agent: minimal planning, tool use, and breaking complex goals into manageable steps. The challenge is making these workflows reliable and useful, even when working with smaller local language models.</p>]]></description>
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