<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>FrankenCoder Guides</title>
    <link>https://frankencoder.com/blog/</link>
    <atom:link href="https://frankencoder.com/blog/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Practical, measured guides to coding with AI agents: context economics, agent orchestration, and what a session actually costs.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 16 Jun 2026 00:00:00 GMT</lastBuildDate>

    <!-- Newest item first. To add a post, copy one <item> block and update it. -->

    <item>
      <title>Keeping your AI coding costs low with Anthropic — a practical guide</title>
      <link>https://frankencoder.com/blog/context-economics.html</link>
      <guid isPermaLink="true">https://frankencoder.com/blog/context-economics.html</guid>
      <pubDate>Sat, 14 Jun 2026 00:00:00 GMT</pubDate>
      <description>Where the money actually goes when you code with an Anthropic-powered AI agent — measured across 340,000 messages and 600+ real coding sessions — and why cache writes, 5-minute TTLs, keep-warm, and shared prefixes change the cost math.</description>
    </item>



    <item>
      <title>Should your smartest model be the one running grep?</title>
      <link>https://frankencoder.com/blog/delegation-economics.html</link>
      <guid isPermaLink="true">https://frankencoder.com/blog/delegation-economics.html</guid>
      <pubDate>Sat, 14 Jun 2026 00:00:00 GMT</pubDate>
      <description>We replayed 104,979 real agent turns with their actual token bills. Keeping the smart model planning and verifying while cheap sub-agents do the search-and-edit grunt work cut cost ~43% on real code-heavy sessions — measured by replaying billed history, not a synthetic benchmark.</description>
    </item>

  </channel>
</rss>
