<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Automation Leverage on Haxlys's Blog</title><link>https://hugo-blog-static-site.haxlys.workers.dev/mental_models/automation-leverage/</link><description>Recent content in Automation Leverage on Haxlys's Blog</description><generator>Hugo -- 0.152.2</generator><language>kr-ko</language><lastBuildDate>Wed, 17 Jun 2026 14:55:58 +0900</lastBuildDate><atom:link href="https://hugo-blog-static-site.haxlys.workers.dev/mental_models/automation-leverage/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 프로토타입 시대에도 여전히 엔지니어가 필요한 이유</title><link>https://hugo-blog-static-site.haxlys.workers.dev/posts/yes-we-still-need-engineers/</link><pubDate>Wed, 17 Jun 2026 14:55:58 +0900</pubDate><guid>https://hugo-blog-static-site.haxlys.workers.dev/posts/yes-we-still-need-engineers/</guid><description>AI 코딩 도구가 프로토타입 제작을 빠르게 만들었지만, 실제 제품화에는 백엔드, 테스트, 보안, 운영, 접근성, 확장성 등 엔지니어링 판단이 여전히 필요하다는 관점을 정리한다.</description></item></channel></rss>