<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic-Engineering on MacWorks</title><link>https://macworks.dev/tags/agentic-engineering/</link><description>Recent content in Agentic-Engineering on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/agentic-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-04-05</title><link>https://macworks.dev/docs/archives/simonwillison/simonwillison-2026-04-05/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/archives/simonwillison/simonwillison-2026-04-05/</guid><description>&lt;h1 id="simon-willison--2026-04-05"&gt;Simon Willison — 2026-04-05&lt;a class="anchor" href="#simon-willison--2026-04-05"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="highlight"&gt;Highlight&lt;a class="anchor" href="#highlight"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Simon highlights a deep-dive post by Lalit Maganti on the realities of &amp;ldquo;agentic engineering&amp;rdquo; when building a robust SQLite parser. The piece beautifully articulates a crucial lesson for our space: while AI is incredible at plowing through tedious low-level implementation details, it struggles significantly with high-level design and architectural decisions where there isn&amp;rsquo;t an objectively right answer.&lt;/p&gt;
&lt;h2 id="posts"&gt;Posts&lt;a class="anchor" href="#posts"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="https://simonwillison.net/2026/Apr/5/building-with-ai/#atom-everything"&gt;Eight years of wanting, three months of building with AI&lt;/a&gt;&lt;/strong&gt;
Simon shares a standout piece of long-form writing by Lalit Maganti on the process of building &lt;code&gt;syntaqlite&lt;/code&gt;, a parser and formatter for SQLite. Claude Code was instrumental in overcoming the initial hurdle of implementing 400+ tedious grammar rules, allowing Lalit to rapidly vibe-code a working prototype. However, the post cautions that relying on AI for architectural design led to deferred decisions and a confusing codebase, ultimately requiring a complete rewrite with more human-in-the-loop decision making. The core takeaway is that while AI excels at tasks with objectively checkable answers, it remains weak at subjective design and system architecture.&lt;/p&gt;</description></item><item><title>Simon Willison</title><link>https://macworks.dev/docs/week/simonwillison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/simonwillison/</guid><description>&lt;h1 id="simon-willison--week-of-2026-04-04-to-2026-04-10"&gt;Simon Willison — Week of 2026-04-04 to 2026-04-10&lt;a class="anchor" href="#simon-willison--week-of-2026-04-04-to-2026-04-10"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="highlight-of-the-week"&gt;Highlight of the Week&lt;a class="anchor" href="#highlight-of-the-week"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Anthropic&amp;rsquo;s decision to delay the general release of their highly capable Claude Mythos model under &amp;ldquo;Project Glasswing&amp;rdquo; marks a significant turning point in the AI industry. The move underscores a massive shift in frontier model capabilities, as models evolve from generating text to autonomously chaining multiple minor vulnerabilities into sophisticated exploits, requiring a new level of security safeguards before release.&lt;/p&gt;</description></item></channel></rss>