<?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>Claude Code 環境構築 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/claude-code-%E7%92%B0%E5%A2%83%E6%A7%8B%E7%AF%89/</link><description>Recent content in Claude Code 環境構築 on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Tue, 16 Jun 2026 03:53:04 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/claude-code-%E7%92%B0%E5%A2%83%E6%A7%8B%E7%AF%89/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLMとAI開発環境の選び方：RTXかMacか？仕事で使えるスペック比較と失敗しない買い方</title><link>https://ai.negi-lab.com/posts/local-llm-dev-platform-hardware-guide/</link><pubDate>Tue, 16 Jun 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-dev-platform-hardware-guide/</guid><description>結論、実務でAIコーディングやローカルLLMを回すなら「VRAM 16GB以上のRTX」か「メモリ64GB以上のMac」が最低ラインです。。趣味ならMac...</description></item></channel></rss>