<?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>Occam's Razor on Haxlys's Blog</title><link>https://hugo-blog-static-site.haxlys.workers.dev/mental_models/occams-razor/</link><description>Recent content in Occam's Razor on Haxlys's Blog</description><generator>Hugo -- 0.152.2</generator><language>kr-ko</language><lastBuildDate>Sat, 11 Apr 2026 16:53:35 +0900</lastBuildDate><atom:link href="https://hugo-blog-static-site.haxlys.workers.dev/mental_models/occams-razor/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM 코딩에 은탄환은 없다 — Fred Brooks의 프레임워크로 본 AI 코딩 도구의 현실</title><link>https://hugo-blog-static-site.haxlys.workers.dev/software/no-silver-bullet-for-llm-coding/</link><pubDate>Sat, 11 Apr 2026 16:53:35 +0900</pubDate><guid>https://hugo-blog-static-site.haxlys.workers.dev/software/no-silver-bullet-for-llm-coding/</guid><description>Django 핵심 기여자 James Bennett가 Fred Brooks의 &amp;#39;은탄환은 없다&amp;#39; 프레임워크를 통해 LLM 코딩 도구의 효과를 이론적·실증적으로 분석한 글 요약. METR, DORA, CircleCI 등의 데이터가 보여주는 현실.</description></item></channel></rss>