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Agentic Coding Handbook

A practical, bilingual (English + 中文) handbook for building software with AI agents — from first principles to production workflows.

一本面向实践的中英双语手册,讲如何用 AI agent 构建软件 —— 从第一性原理到生产级工作流。

🌐 Live site: https://aicode.gokr.io


About

Agentic coding is a shift from prompting for snippets to delegating whole features to an agent that plans, implements, tests, and iterates — with you directing and reviewing. This handbook focuses on durable practices and mental models, not tool trivia that changes every release, and keeps the fast-moving details (models, prices) behind dated notes and official links.

It's for developers who already write code and want to work effectively with AI agents. No prior AI-tool experience required.

Agentic coding 是一种范式转变:从"让 AI 补片段"转向"把整个功能交给 agent"去规划、实现、 测试、迭代,而你负责指挥与审查。本手册聚焦经得起时间的实践与心智模型,把易变细节 (模型、价格)放在带日期的说明和官方链接后面。适合已经会写代码、想高效地"与" AI 协作的开发者。

What's Inside

  • Getting Started — what agentic coding is, vibe vs agentic, setup
  • Choosing Your Stack — AI coding tools, model selection, cross-provider model comparison (with SWE-bench data), plans & pricing, cost, the 10x checklist
  • Guides — prompting, context management, planning, verification, security, tool design
  • Workflows — spec-first, spec-driven development (SDD), TDD, debugging, code review, refactoring, multi-agent
  • Reference — Claude Code, CLAUDE.md, hooks & MCP, prompt recipes, further reading

Every page is available in English and 简体中文 (/zh/).

Local Development

Built with VitePress; package manager pnpm.

pnpm install     # install dependencies / 安装依赖
pnpm dev         # local preview at http://localhost:5173 / 本地预览
pnpm build       # production build (checks dead links) / 生产构建(检查死链)

Content lives in docs/: English at the root, Chinese under docs/zh/. 内容在 docs/ 下:英文在根,中文在 docs/zh/

Contributing

Contributions of all sizes are welcome. The quickest paths:

  • Feedback — use the Feedback link in the site nav to open an issue (no fork needed).
  • Small edits — click "Edit this page on GitHub" at the bottom of any page.
  • Larger changes — fork, branch, and open a pull request.

See CONTRIBUTING.md for the full guide.

Tech Stack

  • VitePress — static docs site
  • pnpm — package manager
  • Vercel — hosting & continuous deployment (auto-deploys on push to main)

License

© 2026 baiyutang. This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

You are free to share and adapt the material for any purpose, even commercially — as long as you give appropriate credit, provide a link to the license, and indicate if changes were made. See LICENSE for the full terms.

本作品采用知识共享 署名 4.0 国际许可协议(CC BY 4.0)。 你可以自由地分享演绎本材料,用于任何目的,包括商业用途 —— 只要署名、 附上许可链接、并注明是否有修改。完整条款见 LICENSE


Made with ❤️ for developers leveling up with AI agents.

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A practical, bilingual handbook for agentic coding — best practices, tooling & model selection, and methodology.

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