When AI Fills the Gaps, You Should Think Through
TL;DR: Workslop happens when you accept AI-generated code that looks fine but lacks understanding, structure, or purpose.
Problems 😔
- Hollow logic
 - Unclear or ambiguous intent
 - Misleading structure
 - Disrespect for human fellows
 - Missing edge-cases
 - Fake productivity
 - Technical debt
 
Solutions 😃
- Validate generated logic in real world scenarios
 - Rewrite unclear parts
 - Add domain meaning
 - Refactor the structure for clarity
 - Add a human peer review
 - Clarify the context
 
If you want, I can create a full list of 25+ solutions to completely fight workslop in teams and code.
Refactorings ⚙️
    Refactoring 005 - Replace Comment with Function Name
Maxi Contieri ・ Jun 7 '22
    Refactoring 013 - Remove Repeated Code
Maxi Contieri ・ Jun 16 '24
    Refactoring 032 - Apply Consistent Style Rules
Maxi Contieri ・ Aug 24
    Refactoring 016 - Build With The Essence
Maxi Contieri ・ Sep 16 '24
Context 💬
You get "workslop" when you copy AI-generated code without understanding it.
The code compiles, tests pass, and it even looks clean, yet you can’t explain why it works.
You copy and paste code without reviewing it, which often leads to catastrophic failures.
    From Helpful to Harmful: How AI Recommendations Destroyed My OS
Maxi Contieri ・ Apr 21
Sample Code 📖
Wrong ❌
def generate_invoice(data):
    if 'discount' in data:
        total = data['amount'] - (data['amount'] * data['discount'])
    else:
        total = data['amount']
    if data['tax']:
        total += total * data['tax']
    return {'invoice': total, 'message': 'success'}
Right 👉
def calculate_total(amount, discount, tax):
    subtotal = amount - (amount * discount)
    total = subtotal + (subtotal * tax)
    return total
def create_invoice(amount, discount, tax):
    total = calculate_total(amount, discount, tax)
    return {'total': total, 'currency': 'USD'}
Detection 🔍
[X] Manual
You feel like the code "just appeared" instead of being designed.
Tags 🏷️
- Declarative Code
 
Level 🔋
[x] Intermediate
Why the Bijection Is Important 🗺️
When you let AI generate code without verifying intent, you break the bijection between your MAPPER and your model.
The program stops representing your domain and becomes random syntax that only simulates intelligence.
AI Generation 🤖
This is a specific AI smell.
AIs can produce large volumes of plausible code with shallow logic.
The result looks professional but lacks cohesion, decisions, or constraints from your actual problem space.
AI Detection 🧲
You can also use AI-generated code detectors.
AI can highlight missing edge cases, repeated logic, or meaningless names, but it can’t restore the original intent or domain meaning.
Only you can.
Try Them! 🛠
Remember: AI Assistants make lots of mistakes
Suggested Prompt: Give more meaning to the code
| Without Proper Instructions | With Specific Instructions | 
|---|---|
| ChatGPT | ChatGPT | 
| Claude | Claude | 
| Perplexity | Perplexity | 
| Copilot | Copilot | 
| You | You | 
| Gemini | Gemini | 
| DeepSeek | DeepSeek | 
| Meta AI | Meta AI | 
| Grok | Grok | 
| Qwen | Qwen | 
Conclusion 🏁
Workslop smells like productivity but rots like negligence.
You protect your craft when you question every line the machine gives you. Think, design, and own your code.
Remember, YOU are accountable for your code. Even if Artificial Intelligence writes it for you.
Have you noticed the copied and pasted text above?
If you want, I can create a full list of 25+ solutions to completely fight workslop in teams and code.
Relations 👩❤️💋👨
    Code Smell 197 - Gratuitous Context
Maxi Contieri ・ Feb 21 '23
    Code Smell 273 - Overengineering
Maxi Contieri ・ Oct 5 '24
    Code Smell 230 - Schrödinger Code
Maxi Contieri ・ Nov 4 '23
More Information 📕
Disclaimer 📘
Code Smells are my opinion.
Credits 🙏
Photo by ZHENYU LUO on Unsplash
The most disastrous thing you can ever learn is your first programming language.
Alan Kay
    Software Engineering Great Quotes
Maxi Contieri ・ Dec 28 '20
This article is part of the CodeSmell Series.
              
    
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