<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Engineering Leadership on MacWorks</title><link>https://macworks.dev/tags/engineering-leadership/</link><description>Recent content in Engineering Leadership on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/engineering-leadership/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-07-11</title><link>https://macworks.dev/docs/week/blogs/engineer-blogs-2026-07-11/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/blogs/engineer-blogs-2026-07-11/</guid><description>&lt;h1 id="engineering-reads--2026-07-11"&gt;Engineering Reads — 2026-07-11&lt;a class="anchor" href="#engineering-reads--2026-07-11"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="the-big-idea"&gt;The Big Idea&lt;a class="anchor" href="#the-big-idea"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;As software systems and organizations evolve, they accumulate hidden, uninspected layers—whether they are disjoint &amp;ldquo;soil horizons&amp;rdquo; of legacy code, poisoned layers of AI-generated reasoning, or invisible backlogs of suppressed operational demand. Surviving this complexity requires a ruthless return to first principles: rigorously proving the mathematical equivalents of your abstractions, actively inspecting the details of your reasoning, and recognizing that resolving technical debt often unearths even more systemic demand.&lt;/p&gt;</description></item></channel></rss>