<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Productivity on AI Agent Engineering Notes</title><link>https://notes.muthu.co/tags/productivity/</link><description>Recent content in Productivity on AI Agent Engineering Notes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 28 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://notes.muthu.co/tags/productivity/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Is Making Coding Faster. What Happens to the Joy of Solving Problems?</title><link>https://notes.muthu.co/2026/10/ai-is-making-coding-faster.-what-happens-to-the-joy-of-solving-problems/</link><pubDate>Wed, 28 Oct 2026 00:00:00 +0000</pubDate><guid>https://notes.muthu.co/2026/10/ai-is-making-coding-faster.-what-happens-to-the-joy-of-solving-problems/</guid><description>&lt;figure >
 
		&lt;img src="https://notes.muthu.co/images/ai-coding-flow/divided-attention.webp" alt="A developer surrounded by software task windows connected by tangled threads, illustrating attention divided across several AI agents." loading="lazy" decoding="async" />
 
 
 
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 More work can happen in parallel while our attention remains limited.
 
 
 
 
 
 
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&lt;p>You delegate a bug, start another agent on a feature, then alternate between prompts, diffs, and test results. Work moves forward, yet the session ends without the satisfaction of having understood something deeply.&lt;/p>
&lt;p>AI is shifting more of programming from solving problems to directing and evaluating solutions. That can improve output while changing what makes the work rewarding.&lt;/p></description></item></channel></rss>