<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Context-Engineering on AI Charcha</title><link>https://www.aicharcha.com/tags/context-engineering/</link><description>Recent content in Context-Engineering on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 31 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/context-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Context Engineering Evaluation Framework for AI Teams</title><link>https://www.aicharcha.com/research/context-engineering-evaluation-framework-2026/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/context-engineering-evaluation-framework-2026/</guid><description>A practical framework for testing whether prompts, retrieval, memory, tool results, metadata, and enterprise knowledge give AI systems the right context at the right time.</description></item></channel></rss>