<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Custom Agents on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/custom-agents/</link><description>Recent content in Custom Agents on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 24 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/custom-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>Integrating with Existing Agent Frameworks</title><link>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/integrating-with-existing-agent-frameworks/</link><pubDate>Thu, 06 Nov 2025 22:00:00 +0530</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-lightening-guide/integrating-with-existing-agent-frameworks/</guid><description>&lt;h2 id="integrating-with-existing-agent-frameworks"&gt;Integrating with Existing Agent Frameworks&lt;/h2&gt;
&lt;p&gt;One of the most compelling features of Agentic Lightening is its ability to train and optimize &lt;em&gt;any&lt;/em&gt; AI agent, regardless of the framework it was built with. This means you don&amp;rsquo;t have to throw away your existing LangChain, AutoGen, OpenAI Agent SDK, or custom agents. Instead, you can &amp;ldquo;light them up&amp;rdquo; by wrapping them with a &lt;code&gt;LitAgent&lt;/code&gt; and integrating them into the Agentic Lightening training pipeline.&lt;/p&gt;</description></item><item><title>Chapter 5: Building Custom Kiro Agents</title><link>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/building-custom-agents/</link><pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/building-custom-agents/</guid><description>&lt;h2 id="chapter-5-building-custom-kiro-agents"&gt;Chapter 5: Building Custom Kiro Agents&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring AI developer! In previous chapters, we&amp;rsquo;ve explored the foundational aspects of AWS Kiro, learned how to set up our environment, and started leveraging its out-of-the-box AI capabilities for coding. Kiro is already a powerful assistant, but what if your development workflow has unique needs that Kiro doesn&amp;rsquo;t address by default?&lt;/p&gt;
&lt;p&gt;This chapter is where Kiro truly transforms from an intelligent assistant into a bespoke development partner. We&amp;rsquo;re going to unlock Kiro&amp;rsquo;s full potential by learning how to build &lt;strong&gt;custom Kiro agents&lt;/strong&gt;. You&amp;rsquo;ll discover how to extend Kiro&amp;rsquo;s functionalities, automate specific tasks, and integrate your own logic directly into the AI-powered development environment. By the end of this chapter, you&amp;rsquo;ll be able to design, implement, and test your own Kiro agents, tailoring Kiro to your exact project requirements.&lt;/p&gt;</description></item></channel></rss>