<?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>AI on heihie</title><link>https://heihei0299.github.io/tags/ai/</link><description>Recent content in AI on heihie</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 29 Jul 2026 01:00:00 +0800</lastBuildDate><atom:link href="https://heihei0299.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Pi Coding Agent 使用教程</title><link>https://heihei0299.github.io/posts/ai/pi-%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/</link><pubDate>Wed, 29 Jul 2026 01:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/pi-%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/</guid><description>Pi 是目前最好用的 AI Agent CLI，本文详细介绍从安装、模型配置到自定义扩展的全流程操作指南。</description></item><item><title>Pi Coding Agent 快速上手指南与扩展推荐</title><link>https://heihei0299.github.io/posts/ai/pi-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E6%8C%87%E5%8D%97%E4%B8%8E%E6%89%A9%E5%B1%95%E6%8E%A8%E8%8D%90/</link><pubDate>Wed, 29 Jul 2026 00:58:04 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/pi-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E6%8C%87%E5%8D%97%E4%B8%8E%E6%89%A9%E5%B1%95%E6%8E%A8%E8%8D%90/</guid><description>Pi 是一个类似 Claude Code / Codex / OpenCode 的 Coding Agent，本文介绍其安装、配置、扩展推荐及常见问题处理。</description></item><item><title>DeepSeek 长上下文对话的幻觉与使用规范</title><link>https://heihei0299.github.io/posts/ai-issues/deepseek%E4%BD%BF%E7%94%A8%E6%B1%87%E6%80%BB/</link><pubDate>Mon, 27 Jul 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai-issues/deepseek%E4%BD%BF%E7%94%A8%E6%B1%87%E6%80%BB/</guid><description>总结 DeepSeek 在长上下文对话中的三大问题（上下文超限后幻觉加重、上下文混乱、对话结束后擅自写代码）与两条使用规范：避免许愿式编程、提高交流信息密度。</description></item><item><title>treills 交付物清单与实现流程</title><link>https://heihei0299.github.io/posts/ai-issues/%E5%B8%B8%E7%94%A8%E6%8C%87%E4%BB%A4%E6%B1%87%E6%80%BB/</link><pubDate>Mon, 27 Jul 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai-issues/%E5%B8%B8%E7%94%A8%E6%8C%87%E4%BB%A4%E6%B1%87%E6%80%BB/</guid><description>treills 开发工作流的交付物清单（prd.md、design.md、implement.md）与标准实现流程：review 通过 → task.py start → dispatch。</description></item></channel></rss>