LLM Tails 发布开源编码智能体规则包
AI 总结
LLM Tails 作者称，该 MIT 许可项目通过提示词、钩子和技能融合了 Ponytail 与 LLM Wiki，引导编码智能体先阅读、最少输出并核实主张。作者表示，该项目不依赖第三方组件，可配合 Claude Code、Cursor、GitHub Copilot、Codex、Gemini、Windsurf、Cline 和 Kiro 使用。有关代码库更小、Token 用量更低和幻觉更少的说法没有数值结果支撑，报道提到的同提示词对比图片也未提供。
深度见解
LLM Tails 将先阅读、最少输出和核实主张等指令打包进无依赖规则集，其作者称该规则集可用于多个指定的编码智能体。
| https://github.com/savadks95/LLM\_Tails I just published a GitHub repo a few days ago. It's a mix of Ponytail and LLM Wiki. It helps developers reduce codebase size with minimal code. It reduces overall token usage and AI hallucinations, and a couple of other fantastic things. The image is the test result of developing a small game with and without LLM Tails. Both used the exact same prompt LLM_Tails is an open-source prompt + hooks + skills bundle that makes the agent read before it writes, write the minimum, verify before it claims, and match your codebase. MIT, zero dependencies, works with Claude Code, Cursor, Copilot, Codex, Gemini, Windsurf, Cline, Kiro, and any agent that reads submitted by /u/savadks1818 [link] [comments] |
#LLM Tails#Ponytail#LLM Wiki#Claude Code#Cursor#GitHub Copilot#Codex#Gemini#Windsurf#Cline#Kiro