vibe-coding-cn/i18n/en/documents/Glue Coding/Glue Coding Methodology.md

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# Glue Coding Methodology
## **1. Definition of Glue Coding**
**Glue coding** is a new type of software construction method, whose core idea is:
> **Almost entirely reusing mature open-source components, combining them into a complete system with minimal "glue code".**
It emphasizes "connecting" rather than "creating", and is particularly efficient in the AI era.
## **2. Background**
Traditional software engineering often requires developers to:
* Design architecture
* Write logic themselves
* Manually handle various details
* Reinvent the wheel
This leads to high development costs, long cycles, and low success rates.
However, the current ecosystem has fundamentally changed:
* Thousands of mature open-source libraries on GitHub
* Frameworks covering various scenarios (Web, AI, distributed, model inference...)
* GPT / Grok can help search, analyze, and combine these projects
In this environment, writing code from scratch is no longer the most efficient way.
Thus, "glue coding" has emerged as a new paradigm.
## **3. Core Principles of Glue Coding**
### **3.1 If it can be avoided, don't write it; if it can be minimized, minimize it.**
Any function with a mature existing implementation should not be reinvented.
### **3.2 If it can be copied and pasted, copy and paste.**
Directly copying and using community-tested code is a normal engineering process, not laziness.
### **3.3 Stand on the shoulders of giants, rather than trying to become a giant.**
Utilize existing frameworks, rather than trying to write a "better wheel" yourself.
### **3.4 Do not modify the original repository code.**
All open-source libraries should remain as immutable as possible, used as black boxes.
### **3.5 Minimize custom code.**
The code you write only serves for:
* Combination
* Calling
* Encapsulation
* Adaptation
This is the so-called **glue layer**.
## **4. Standard Process of Glue Coding**
### **4.1 Clarify Requirements**
Break down the system's functionalities into individual requirements.
### **4.2 Use GPT/Grok to Decompose Requirements**
Let AI refine requirements into reusable modules, capabilities, and corresponding subtasks.
### **4.3 Search for Existing Open-Source Implementations**
Utilize GPT's internet capabilities (like Grok):
* Search for corresponding GitHub repositories based on each sub-requirement
* Check for reusable components
* Compare quality, implementation methods, licenses, etc.
### **4.4 Download and Organize Repositories**
Pull selected repositories locally and categorize them.
### **4.5 Organize by Architectural System**
Place these repositories into the project structure, for example:
```
/services
/libs
/third_party
/glue
```
And emphasize: **Open-source repositories, as third-party dependencies, must absolutely not be modified.**
### **4.6 Write the Glue Layer Code**
The glue code's functions include:
* Encapsulating interfaces
* Unifying input and output
* Connecting different components
* Implementing minimal business logic
The final system is composed of multiple mature modules.
## **5. Value of Glue Coding**
### **5.1 Extremely High Success Rate**
Because it uses community-verified mature code.
### **5.2 Extremely Fast Development Speed**
A large number of functionalities can be directly reused.
### **5.3 Reduced Costs**
Time costs, maintenance costs, and learning costs are significantly reduced.
### **5.4 More Stable System**
Relies on mature frameworks rather than individual implementations.
### **5.5 Easy to Extend**
Capabilities can be easily upgraded by replacing components.
### **5.6 Strong Synergy with AI**
GPT can assist in searching, decomposing, and integrating, serving as a natural enhancer for glue engineering.
## **6. Glue Coding vs. Traditional Development**
| Project | Traditional Development | Glue Coding |
| ----------- | ----------------------- | --------------- |
| Feature Implementation | Write yourself | Reuse open-source |
| Workload | Large | Much smaller |
| Success Rate| Uncertain | High |
| Speed | Slow | Extremely fast |
| Error Rate | Prone to pitfalls | Uses mature solutions |
| Focus | "Inventing wheels" | "Combining wheels" |
## **7. Typical Application Scenarios for Glue Coding**
* Rapid prototyping
* Small teams building large systems
* AI applications/model inference platforms
* Data processing pipelines
* Internal tool development
* System Integration
## **8. Future: Glue Engineering Will Become the New Mainstream Programming Method**
As AI capabilities continue to strengthen, future developers will no longer need to write large amounts of code themselves, but rather:
* Find wheels
* Combine wheels
* Intelligently connect components
* Build complex systems at extremely low cost
Glue coding will become the new standard for software productivity.