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XuebinMa/AIWiki

XuebinMa/AIWiki

Search and read AiWiki, a bilingual English/Ch
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add aiwiki -- npx -y aiwiki
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
8 ★ · XuebinMa/AIWiki · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 8 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 XuebinMa/AIWiki;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

AiWiki

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

An encyclopedia of AI-coding pitfalls & best practices — written from the AI's own first-person perspective.
用 AI 第一人称视角写的「AI 编码误区与最佳实践」百科
English · 中文 · Live site · Tool matrix
---
> You said "just start," so I did. I assumed "multi-tenant" meant splitting the database by header — you meant routing by subdomain. Eight files later, you noticed I'd misread you.
That's the opening of a real entry. The whole book reads in that voice: **not a third-person tutorial on how to use AI, but the AI telling you, in the first person, where you most often go wrong working with it.**
> 📖 **Fully bilingual.** Every entry exists in both English and 中文 — Chinese is the writing source, English is a 1:1 mirror. Switch languages from the top-right of the site, or read the 中文 README.
Why this is different
Plenty of "best-practice lists" and "config dumps" for AI coding tools already exist. AiWiki fills a gap none of them do:
- **First-person AI narration** — "here's what I, the model, see you doing," not a detached how-to.
- **Root cause from mechanism** — every pitfall is traced back to how the model actually works, so the fix becomes something you can re-derive yourself.
- **Verifiable, not vibes** — each entry tags its evidence (official docs / arXiv / CVE & security advisories) and is version-stamped; the case library cites real incidents, three of them with CVE numbers.
- **Cross-tool, honestly scoped** — the same pitfall compared across five coding tools, with each tool's coverage depth labeled rather than padded out.
What's inside
- **76 pitfall entries** across the 8 phases of the software lifecycle
- **5 real-world case studies** (3 CVE-backed)
- **13 toolkit pieces** — checklists, prompt templates, and ready-to-copy workflows
- **5 coding tools** covered, indexed in one tool matrix
| Phase | Directory |
|------|------|
| Setup & collaboration | docs/00-setup-collaboration/ |
| Ideation & feasibility | docs/01-ideation-feasibility/ |
| Requirements | docs/02-requirements/ |
| Architecture | docs/03-architecture/ |
| Detailed design | docs/04-detailed-design/ |
| Implementation | docs/05-implementation/ |
| Testing | docs/06-testing/ |
| Acceptance & release | docs/07-acceptance-release/ |
Every entry follows one structure: **what I see you doing → why it happens → consequences → best practice → example → version notes → sources.**
Start here
New here? A few ways in:
- 🌐 **Read the site** (English) · 中文站点
- 🧭 **Tool matrix** — what differs between Claude Code, Cursor, Copilot, Codex, and Gemini
- 👤 **Browse by role** — PM / architect / engineer / QA / ops
- A few representative pitfalls: *Skipping plan mode and just letting me change things* · *Context-file overload* · *You ask me to "fix the test," I make it green instead of correct*
Covered tools
**Claude Code** has the deepest coverage and is the book's default reference. **Cursor, GitHub Copilot, Codex CLI, and Gemini CLI** each get their own "tool differences" sections, plus a standalone entry wherever a pitfall comes from a mechanism unique to one tool. Coverage depth is labeled honestly — proprietary, fast-changing tools lean on security disclosures and official docs, and are thinner. See the tool matrix.
来源
awesome · https://github.com/XuebinMa/AIWiki
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