<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>IPC on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/ipc/</link><description>Recent content in IPC on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 24 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/ipc/index.xml" rel="self" type="application/rss+xml"/><item><title>Real-time Agent Progress and User Control UI</title><link>https://ai-blog.noorshomelab.dev/kanbots-ai-worktrees-2026/realtime-agent-ui-control/</link><pubDate>Sun, 24 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/kanbots-ai-worktrees-2026/realtime-agent-ui-control/</guid><description>&lt;p&gt;Interacting with AI agents can often feel like giving a command to a black box. You trigger a task, wait, and eventually, an output appears. For a multi-agent system like Kanbots, this lack of transparency can lead to frustration and inefficiency. This chapter addresses that challenge by equipping our Kanbots application with real-time feedback and user controls.&lt;/p&gt;
&lt;p&gt;By the end of this milestone, your Kanbots application will provide a dynamic interface that displays agent progress, streams logs, and allows users to pause, resume, or cancel agent tasks directly from the Kanban board. This dramatically improves the user experience, giving operators crucial insights and control over complex AI workflows.&lt;/p&gt;</description></item></channel></rss>