<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Agent on</title><link>https://banidev.netlify.app/tags/ai-agent/</link><description>Recent content in AI Agent on</description><generator>Hugo</generator><language>en-us</language><managingEditor>arobbanii5@gmail.com (Abdullah Robbani)</managingEditor><webMaster>arobbanii5@gmail.com (Abdullah Robbani)</webMaster><lastBuildDate>Wed, 03 Sep 2025 20:30:06 +0800</lastBuildDate><atom:link href="https://banidev.netlify.app/tags/ai-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Gentmini</title><link>https://banidev.netlify.app/projects/gentmini/</link><pubDate>Wed, 03 Sep 2025 20:30:06 +0800</pubDate><author>arobbanii5@gmail.com (Abdullah Robbani)</author><guid>https://banidev.netlify.app/projects/gentmini/</guid><description>&lt;p>📂 Repo: &lt;a href="https://github.com/babanini95/gentmini">github.com/babanini95/gentmini&lt;/a>&lt;/p>
&lt;p>I&amp;rsquo;ve been curious about AI agent for a while now. It has been a hot topic in some of my social media timelines. And recently, I’ve been diving deeper into how AI agents work. Not just from the outside as a user of ChatGPT or Gemini, but how you can wire up a language model with tools and make it interact with an environment.&lt;/p>
&lt;p>To make the learning process hands on, I built &lt;a href="https://github.com/babanini95/gentmini">&lt;strong>Gentmini&lt;/strong>&lt;/a>: a minimal AI agent using Google’s Gemini API. It’s not a full fledged framework, but a focused learning project that helped me practice Python, functional programming, and understand the building blocks of agent design.&lt;/p></description></item></channel></rss>