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