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continuedev/what-llm-to-use
默认分支 main · commit 3c7cb09e · 扫描时间 2026/5/29 22:47:58
星标 651 · Fork 37
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 continuedev/what-llm-to-use 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README's opening to clearly state its purpose as an LLM comparison guide.
原因:
当前# What LLM to use? A perspective from the DevAI space With how fast things are moving in the DevAI space, a shorthand for the community of developers building software with the help of large language models (LLMs), it can be challenging to figure out which model to use.
复制粘贴的修复# What LLM to use? A comprehensive guide for DevAI This repository is a comprehensive, developer-focused guide and comparison tool to help you choose the right Large Language Model (LLM) for your coding projects, navigating the fast-moving DevAI space.
- mediumabout#2Expand the repository description to be more explicit about its function.
原因:
当前👀 What LLM to use?
复制粘贴的修复A comprehensive, developer-focused guide and comparison of Large Language Models (LLMs) to help you choose the best one for your coding projects.
- mediumtopics#3Add more specific topics to clarify the repository's function as a guide and comparison.
原因:
当前ai, dev, llm
复制粘贴的修复ai, dev, llm, llm-comparison, llm-guide, model-selection, generative-ai, developer-tools
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- OpenAI GPT-4 · 被推荐 1 次
- Google Gemini 1.5 Pro · 被推荐 1 次
- GitHub Copilot · 被推荐 1 次
- Amazon CodeWhisperer · 被推荐 1 次
- Mistral Large · 被推荐 1 次
- 品类问题What factors should I consider when choosing an LLM for my coding project?你:未被推荐AI 推荐顺序:
- OpenAI GPT-4
- Google Gemini 1.5 Pro
- GitHub Copilot
- Amazon CodeWhisperer
- Mistral Large
- Anthropic Claude 3 Opus
- Meta Llama 3
- Mistral 7B
- Mixtral 8x7B Instruct
- Code Llama
- OpenAI GPT-4 Turbo
- OpenAI Fine-tuning API
- GPT-3.5 Turbo
AI 推荐了 13 个替代方案,却始终没点名 continuedev/what-llm-to-use。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Which large language models are best for open-source versus commercial development?你:未被推荐AI 推荐顺序:
- Llama 3
- Mistral 7B / Mixtral 8x7B
- Gemma
- Falcon
- Llama 2
- GPT-4 / GPT-4o
- Claude 3 Opus / Sonnet / Haiku
- Gemini 1.5 Pro / Flash
- Cohere Command R+ / Command R
- Azure OpenAI Service
AI 推荐了 10 个替代方案,却始终没点名 continuedev/what-llm-to-use。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesspass
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of continuedev/what-llm-to-use?passAI 未点名 continuedev/what-llm-to-use —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts continuedev/what-llm-to-use in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 continuedev/what-llm-to-use
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo continuedev/what-llm-to-use solve, and who is the primary audience?passAI 未点名 continuedev/what-llm-to-use —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 continuedev/what-llm-to-use 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/continuedev/what-llm-to-use)<a href="https://repogeo.com/zh/r/continuedev/what-llm-to-use"><img src="https://repogeo.com/badge/continuedev/what-llm-to-use.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
continuedev/what-llm-to-use — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3