<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Token Cost on Patrick Dahlke</title><link>https://patrickdahlke.com/tags/token-cost/</link><description>Recent content in Token Cost on Patrick Dahlke</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Apr 2026 10:00:00 +0200</lastBuildDate><atom:link href="https://patrickdahlke.com/tags/token-cost/index.xml" rel="self" type="application/rss+xml"/><item><title>The 6x Tax You're Paying Without Knowing It</title><link>https://patrickdahlke.com/posts/six-times-tax/</link><pubDate>Wed, 15 Apr 2026 10:00:00 +0200</pubDate><guid>https://patrickdahlke.com/posts/six-times-tax/</guid><description>Your AI agents are productive. They write code, update specs, run tests. The tokens flow, the commits land, and everything looks fine — until someone asks a simple question: &amp;ldquo;Did we update everything that needed updating?&amp;rdquo;
Nobody can answer it. That&amp;rsquo;s the problem.
A benchmark worth reading Erwin Roth from Audi ran a benchmark. Five coordination architectures for Claude Code. Same codebase, same scenario, four parallel agents. The task: propagate a single requirement change — brake response time from 100ms to 50ms — across 15 interconnected artifacts in an ISO 26262 safety-critical project.</description></item></channel></rss>