<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Control Systems on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/control-systems/</link><description>Recent content in Control Systems on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/control-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Crafting Agent Control Systems: Guiding Actions and Tool Use</title><link>https://ai-blog.noorshomelab.dev/harness-engineering-ai-agents-2026/agent-control-systems/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/harness-engineering-ai-agents-2026/agent-control-systems/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome back! In our journey through Harness Engineering, we&amp;rsquo;ve already laid crucial groundwork. We&amp;rsquo;ve learned how to design &lt;a href="../../agent-environment-design"&gt;systematic environments&lt;/a&gt; to ensure consistent agent execution and how to implement &lt;a href="../../agent-state-management"&gt;robust state management&lt;/a&gt; to maintain context and continuity across interactions. These are foundational for any reliable AI agent.&lt;/p&gt;
&lt;p&gt;But here&amp;rsquo;s a critical question: once an agent has a clear environment and knows its current state, how do we &lt;em&gt;ensure&lt;/em&gt; it takes the right actions? How do we prevent it from going off-script, misusing tools, or simply &amp;ldquo;hallucinating&amp;rdquo; an action that doesn&amp;rsquo;t make sense in its current context?&lt;/p&gt;</description></item><item><title>Harness Engineering for AI Agents</title><link>https://ai-blog.noorshomelab.dev/harness-engineering-ai-agents-2026/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/harness-engineering-ai-agents-2026/</guid><description>&lt;p&gt;This comprehensive guide introduces Harness Engineering, a critical discipline for building reliable AI coding agents. Explore methods for designing systematic environments, managing complex agent state, implementing rigorous verification processes, and establishing robust control systems. Elevate your agentic coding tools from experimental to production-grade with advanced industry practices.&lt;/p&gt;</description></item></channel></rss>