188 lines
6.5 KiB
Markdown
188 lines
6.5 KiB
Markdown
---
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title: Glue Coding - 软件工程的银弹
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slug: glue-coding
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status: inbox
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source_urls:
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- https://github.com/luogangyi/vibe-coding-cn
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author: luogangyi
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created_at: 2026-03-03T11:22:54+08:00
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updated_at: 2026-03-03T11:22:54+08:00
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tags:
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- glue-coding
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- vibe-coding
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- ai-coding
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- methodology
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---
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# 🧬 Glue Coding
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> **When the holy grail of software engineering finally here.**
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## 🚀 Disruptive Manifesto
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**Glue Coding is not a technology, it's a revolution.**
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It might perfectly solve the three fatal flaws of Vibe Coding:
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| Traditional Vibe Coding Pain Points | Glue Coding Solution |
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|:---|:---|
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| 🎭 **AI Hallucinations** - Generates non-existent APIs, incorrect logic | ✅ **Zero Hallucinations** - Uses only validated, mature code |
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| 🧩 **Complexity Explosion** - The larger the project, the more out of control | ✅ **Zero Complexity** - Each module is a battle-tested wheel |
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| 🎓 **High Barrier** - Requires deep programming skills to master AI | ✅ **No Barrier** - You only need to describe "how to connect" |
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---
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## 💡 Core Concept
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```
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Traditional Programming: Humans write code
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Vibe Coding: AI writes code, humans review code
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Glue Coding: AI connects code, humans review connections
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```
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### Paradigm Shift
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**A fundamental shift from "generation" to "connection":**
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- ❌ No longer letting AI generate code from scratch (source of hallucinations)
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- ❌ No longer reinventing the wheel (source of complexity)
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- ❌ No longer requiring to understand every line of code (source of high barrier)
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- ✅ Only reusing mature, production-validated open-source projects
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- ✅ AI's sole responsibility: understand the intent, connect modules
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- ✅ Your sole responsibility: clearly describe "what is the input, what is the desired output"
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---
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## 🏗️ Architectural Philosophy
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```
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┌─────────────────────────────────────────────────────────┐
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│ Your Business Needs │
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└─────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────┐
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│ AI Glue Layer │
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│ │
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│ "I understand what you want to do, let me connect these blocks" │
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│ │
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└─────────────────────────────────────────────────────────┘
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│
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┌────────────────┬────────────────┐
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▼ ▼ ▼
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┌─────────────┐ ┌─────────────┐ ┌─────────────┐
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│ Mature Module A │ │ Mature Module B │ │ Mature Module C │
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│ (100K+ ⭐) │ │ (Production-Validated) │ │ (Official SDK) │
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└─────────────┘ └─────────────┘ └─────────────┘
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```
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**Entity**: Mature open-source projects, official SDKs, battle-tested libraries
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**Link**: AI-generated glue code, responsible for data flow and interface adaptation
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**Function**: Your described business goal
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---
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## 🎯 Why is this a Silver Bullet?
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### 1. Hallucination Issue → Completely Disappears
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AI no longer needs to "invent" anything. It only needs to:
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- Read Module A's documentation
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- Read Module B's documentation
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- Write the data transformation from A → B
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**This is what AI excels at, and what is least prone to errors.**
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### 2. Complexity Issue → Transferred to the Community
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Behind each module are:
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- Discussions from thousands of Issues
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- Wisdom from hundreds of contributors
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- Years of production environment refinement
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**You are not managing complexity; you are standing on the shoulders of giants.**
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### 3. Barrier Issue → Reduced to a Minimum
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You don't need to understand:
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- Underlying implementation principles
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- Best practice details
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- Edge case handling
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You only need to speak plain language:
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> "I want to take messages from Telegram, process them with GPT, and store them in PostgreSQL"
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**AI will help you find the most suitable wheels and glue them together.**
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---
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## 📋 Practice Flow
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```
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1. Define the Goal
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└─→ "I want to implement XXX functionality"
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2. Find the Wheels
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└─→ "Are there any mature libraries/projects that have done something similar?"
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└─→ Let AI help you search, evaluate, and recommend
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3. Understand the Interfaces
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└─→ Feed the official documentation to AI
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└─→ AI summarizes: what is the input, what is the output
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4. Describe the Connection
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└─→ "The output of A should become the input of B"
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└─→ AI generates glue code
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5. Validate and Run
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└─→ Runs successfully → Done
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└─→ Errors → Give the errors to AI, continue gluing
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```
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---
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## 🔥 Classic Case Study
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### Case: Polymarket Data Analysis Bot
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**Requirement**: Real-time acquisition of Polymarket data, analysis, and push to Telegram
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**Traditional Approach**: Write a crawler, analysis logic, and bot from scratch → 3000 lines of code, 2 weeks
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**Glue Approach**:
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```
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Wheel 1: polymarket-py (Official SDK)
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Wheel 2: pandas (Data Analysis)
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Wheel 3: python-telegram-bot (Message Push)
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Glue Code: 50 lines
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Development Time: 2 hours
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```
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---
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## 📚 Further Reading
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- [[语言层要素]] - 8 levels to master to understand 100% of the code
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- [[胶水开发]] - Prompts for glue development
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- [[polymarket-dev]] - Project practice
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- [[cli-is-all-you-need]] - CLI 作为胶水层：Bash is the ultimate MCP
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---
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## 🖖 Summary
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> **If you can copy, don't write. If you can connect, don't build. If you can reuse, don't originate.**
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Glue Coding is the ultimate evolution of Vibe Coding.
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It's not laziness; it's the **highest embodiment of engineering wisdom** —
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Leveraging maximum productivity with minimal original code.
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**This is the silver bullet software engineering has been waiting for for 50 years.**
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---
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*"The best code is no code at all. The second best is glue code."* |