<?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>LLM Governance on Vinh Thang's AI Tech Notes</title><link>https://vinhthang.dev/tags/llm-governance/</link><description>Recent content in LLM Governance on Vinh Thang's AI Tech Notes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 03 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://vinhthang.dev/tags/llm-governance/index.xml" rel="self" type="application/rss+xml"/><item><title>Under the Hood: How the Antigravity Attention Guard Plugin Enforces Deterministic Agent Governance</title><link>https://vinhthang.dev/posts/antigravity-attention-plugin/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0000</pubDate><guid>https://vinhthang.dev/posts/antigravity-attention-plugin/</guid><description>&lt;p&gt;In our previous discussions on autonomous engineering, we explored the phenomenon of &lt;strong&gt;Attention Dilution&lt;/strong&gt;—the silent degradation of instruction-following fidelity as context windows swell past tens of thousands of tokens. While modern frontier models boast context windows of 1M+ tokens, attention mechanisms remain vulnerable to informational entropy. As terminal logs, stack traces, and code diffs accumulate, system prompt constraints drift out of the model&amp;rsquo;s active attention focus.&lt;/p&gt;
&lt;p&gt;When left unchecked, agents exhibit architectural amnesia: they bypass project-level Architecture Decision Records (ADRs), run uncompressed shell commands that flood context, guess port allocations, or skip verification steps.&lt;/p&gt;</description></item></channel></rss>