<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on E7Coding</title><link>https://www.e7coding.com/en/tags/llm/</link><description>Recent content in LLM on E7Coding</description><generator>Hugo</generator><language>en</language><managingEditor>Joy</managingEditor><webMaster>Joy</webMaster><lastBuildDate>Tue, 16 Jun 2026 15:00:00 +0800</lastBuildDate><atom:link href="https://www.e7coding.com/en/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting Started with AI Agent Development: From Concepts to a Minimal Tool-Using Agent</title><link>https://www.e7coding.com/en/posts/ai-agent-development-guide/</link><pubDate>Tue, 16 Jun 2026 15:00:00 +0800</pubDate><author>Joy</author><guid>https://www.e7coding.com/en/posts/ai-agent-development-guide/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;AI agent development&lt;/strong&gt; means building a system that can &lt;strong&gt;perceive, reason, plan, call tools, and execute tasks&lt;/strong&gt; to achieve a goal. In one sentence: traditional AI, such as a normal chatbot, answers one question at a time; an AI agent is more like a digital worker. Give it a high-level goal, such as &amp;ldquo;analyze this company&amp;rsquo;s financial report and turn it into a 10-slide deck,&amp;rdquo; and it can break the work into steps, gather information, run code, call APIs, and deliver the result.&lt;/p&gt;</description></item></channel></rss>