- Abstraction
- AI Pair Programming
- Algorithm
- API
- Array
- Array methods
- Booleans
- Callback
- Class
- Class Members
- Closure
- Closure
- Code refactoring
- Comment
- Computer programming
- Conditional statements
- Constant
- Constructor
- Coupling and Cohesion
- Data types
- Debugging
- Decorator
- Dependency
- Destructuring
- Dictionary
- Enum
- Event
- Exception / Error handling
- Function
- Generic / Template
- Higher-order function
- IDE
- Immutability
- Inheritance
- Input validation
- Integer
- Interface
- Iteration patterns
- Legacy code
- Loop
- Machine learning
- Memoization
- Memory and references
- Method
- Module
- Null / Undefined / None
- Null safety / Optional values
- Object
- Object-Oriented Programming (OOP)
- Operator
- Parameter
- Parsing
- Promise and Async/Await
- Prompt Engineering
- Recursion
- Regular expression
- Return statement
- Rollback
- Runtime
- Scope
- Script
- Sequence
- Set
- Spaghetti code
- Spread and Rest operators
- State management
- String
- Switch statement
- Synchronous vs Asynchronous execution
- Syntax
- Technical debt
- Ternary operator
- Testing
- This / Self
- Tuple
- Type casting
- Type conversion
- Variable
- Vibe coding
- Webhook
PROGRAMMING-CONCEPTS
Vibe Coding: Definition, Purpose, and Examples
Vibe coding describes a relaxed, flow-driven style of programming where you write code based on intuition, experimentation, and “what feels right” in the moment, instead of following a detailed plan or strict engineering process. It’s the opposite of rigid, blueprint-driven development. The focus is on getting into a creative rhythm where ideas come quickly, and code is shaped by momentum rather than by long design discussions.
Developers use vibe coding when prototyping, exploring ideas, or trying to understand a new API or framework. It lowers pressure, encourages curiosity, and often leads to quick insights. It’s not meant for final production code, but it helps you discover the structure you’ll refine later.
When Developers Vibe Code
Experimenting With New Libraries or Tools
Vibe coding helps you “poke at” a new technology to see how it behaves.
import { format } from "date-fns";
console.log(format(new Date(), "PPPpp"));
This is a quick test to see what a library returns before committing to a larger structure.
Prototyping Features
During early stages, developers try ideas without worrying about architecture.
Python
# Just checking how a new scoring rule might work
score = 0
for n in numbers:
if n > 10:
score += 5
This helps validate logic before building a full class or module around it.
Creative UI/UX Exploration
Front-end developers often try layout ideas quickly in JSX or CSS.
<div className="card" style={{ padding: 20, borderRadius: 12 }}>
Try out a rounded card layout
</div>
The goal is to see what design direction feels good, not to finalize styling.
Writing Throwaway Scripts
Small scripts exist only to answer a question or test an idea.
Python
# Quick test to see if a regex matches incoming data
import re
print(bool(re.match(r"\w+@\w+\.\w+", "hello@test.com")))
Vibe coding is perfect for temporary, disposable experiments.
Core Mindset Behind Vibe Coding
1. Flow Over Formality
You follow the idea that’s currently interesting rather than planning every step. This helps unlock creativity and reduces overthinking.
2. Fast Feedback Loops
You write a few lines, run the code, adjust, and repeat. The tight loop makes learning faster.
3. Freedom to Be Messy
You intentionally avoid obsessing over naming, folder structure, or tests at this stage. The goal is discovery, not correctness.
4. No Fear of Rewriting
Vibe coding embraces the idea that you’ll rewrite or refactor once you understand the domain better.
When Vibe Coding Helps
- Prototyping dashboards, UI components, or small scripts
- Exploring an unfamiliar API or SDK
- Trying different approaches to a problem before deciding on architecture
- Breaking creative block by lowering pressure
- Brainstorming with AI tools (pairing ChatGPT with rapid iteration)
It’s especially useful when you don’t yet know what the “right” solution looks like.
When Not to Rely on Vibe Coding
Vibe coding should not be used for:
- Security-critical code
- Database schema design
- Large production features
- Performance-critical areas
- Team-maintained modules
- Code that needs clear documentation
- Anything that requires long-term maintainability
It’s a great starting point but not a finishing point.
Examples of Vibe Coding Across Languages
JavaScript / TypeScript (trying out array logic)
const result = data
.filter(x => x.active)
.map(x => x.score * 1.5);
console.log(result);
A quick experiment to see if a transformation feels right before formalizing it.
Python (testing an algorithm idea)
Python
# Rough idea for sorting with a custom rule
sorted_items = sorted(items, key=lambda x: x.priority * -1)
print(sorted_items)
Useful for understanding whether the sorting rule leads to the expected order.
SQL (sketching a query)
SELECT name, total
FROM orders
WHERE total > 500;
A simple throwaway query helps you explore the dataset before writing the full report.
Swift (trying a quick UI tweak)
Text("Hello")
.padding()
.background(Color.yellow)
Vibe coding is common when experimenting with SwiftUI's modifiers.
How AI Tools Support Vibe Coding
AI pair programming strongly complements vibe coding:
- You can quickly ask for variations of code
- AI generates alternate approaches you can test immediately
- You get fast feedback without interrupting flow
- AI helps clean up messy prototype code later
Vibe coding + AI often accelerates exploration dramatically.
Transitioning From Vibe Coding to Production Code
After exploring ideas, developers typically refine the prototype using:
- Refactoring (cleaning structure without changing behavior)
- Abstraction (extracting reusable logic)
- Testing (ensuring correctness)
- Documentation (capturing intent)
- Type safety (adding TypeScript or Swift types)
- Error handling (null checks, exceptions, retries)
This is where the loose, exploratory code becomes stable and future-proof.
Summary
Vibe coding is a relaxed, exploratory style of programming that encourages experimentation, rapid iteration, and creative discovery. It’s ideal for prototyping, testing ideas, exploring APIs, and breaking through mental blocks. While it isn’t suited for production code, it helps developers accelerate learning, reduce friction, and uncover promising solutions before committing to more formal structure. It’s a legitimate and valuable part of the modern development workflow when used intentionally—and refined through proper refactoring afterward.
Sign up or download Mimo from the App Store or Google Play to enhance your programming skills and prepare for a career in tech.