Show HN:將系統設計概念對應至 AI 提示,以防止不良程式碼
一篇 Hacker News 的貼文介紹了一個 GitHub 儲存庫,該儲存庫將系統設計原則對應至 AI 提示,旨在引導開發者創建更好的 AI 輔助程式碼並驗證 AI 生成的設計。
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System Design explained from first principles to senior engineer-level thinking, with a focus on AI-assisted (vibecoding) development. Learn how to reason about systems, understand trade-offs, and validate AI-generated designs beyond just working code.
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System Design for AI Augmented Developers
System Design explained from first principles to senior engineer-level thinking, with a focus on AI-assisted (vibecoding) development. Learn how to reason about systems, understand trade-offs, and validate AI-generated designs beyond just working code.
What This Is
This repository covers system design from fundamentals to advanced topics. It's designed to:
Contents
Total: 71 chapters covering system design from fundamentals to senior-level expertise.
Quick Paths
Path 1: Complete Learning (Recommended)
Go through levels 0-9 in order. Takes 2-4 weeks with consistent study.
Path 2: Interview Prep
Focus path for system design interviews:
Path 3: AI Prompting Focus
To immediately improve AI collaboration:
AI-Assisted Development Focus
Every topic in this repo connects to better AI prompting:
The more concepts you know, the more precisely you can direct AI tools.
Each Section Includes
Resources
Contributing
Found a mistake or have an improvement? See Contributing.
How to Use This
For learning: Go through levels in order. Each builds on previous.
For reference: Jump to specific topics when needed.
For AI development: Use concepts to write better prompts. See HOW-TO-VIBECODE.md.
For interviews: Focus on Levels 2, 3, 7, and the interview framework in Level 9.
The goal: understand systems well enough to architect them yourself, and direct AI tools to implement them correctly.
Support the Project
If you find this guide helpful, please star the repository! It helps others find this resource and encourages further updates. 🌟
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System Design explained from first principles to senior engineer-level thinking, with a focus on AI-assisted (vibecoding) development. Learn how to reason about systems, understand trade-offs, and validate AI-generated designs beyond just working code.
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