![Vibe Coding]()
It’s time to rename and reclaim this misunderstood AI coding practice.
Introduction: Why “Vibe Coding” Undermines the Real Practice
“Vibe coding” has quickly become a buzzword for how developers interact with AI tools, such as GitHub Copilot, ChatGPT, and Amazon CodeWhisperer. Coined playfully by AI pioneer Andrej Karpathy, the phrase is now commonly used to describe AI-assisted software development where code is generated based on “the vibe” of a task prompt rather than formal requirements or design patterns.
But here's the issue.
“Vibe coding” is catchy, but it’s also misleading. It's often used dismissively, implying developers are mindlessly prompting AI without understanding what’s going on under the hood. This framing trivializes a powerful, emerging discipline that, when practiced with skill, can be rigorous, structured, and highly productive.
We need a better name for what’s happening.
The Real Practice: Structured Prompting, Not Lazy Guesswork
The developers who get the most from AI aren’t just tossing vague requests into the void. They’re practicing something far more nuanced.
- Designing iterative prompts
- Debugging with contextual queries
- Refactoring with AI feedback
- Enhancing documentation and test coverage
- Comparing multiple approaches using guided prompting
- Retaining architectural control while outsourcing syntax
This isn’t improvisation, it’s Prompt-Oriented Development (POD).
What Is Prompt-Oriented Development (POD)?
Prompt-Oriented Development (POD) is the practice of building software collaboratively with AI systems by mastering the art of structured, intentional prompting.
It merges elements of.
- AI-Augmented Programming: LLMs assist, but the developer still leads the architectural and logical thinking.
- Prompt Engineering: The developer iteratively shapes prompts to achieve desired outcomes and explore alternatives.
- Cognitive Pair Programming: The AI becomes an intelligent collaborator that responds to clarification, questions, and refinements.
- Human-in-the-Loop Development: Decisions are reviewed, interpreted, and improved by a human with technical judgment.
Why “POD” Is Better Than “Vibe Coding”?
| Term |
What It Implies |
What It Misses |
| Vibe Coding |
Improvised, casual prompting for code |
Suggests a lack of structure or rigor |
| POD |
Intentional, iterative collaboration with AI |
Reflects discipline, technique, and growth |
“Vibe coding” suggests that developers are passengers letting the AI drive. POD clarifies that developers are still in control; they just have a new kind of steering wheel.
Why It Matters Especially for Junior Developers?
Critics argue that vibe coding is destroying junior developers’ ability to think and code independently. That fear stems from a misunderstanding of the practice. POD, by contrast, is a learning accelerator when used correctly.
- Helps juniors compare multiple code implementations.
- Enables rapid prototyping and experimentation.
- Teaches idiomatic patterns in a real-world context.
- Builds intuition through immediate, guided feedback.
Just like calculators didn’t ruin math students, POD doesn’t ruin coders. It gives them leverage.
A New Coding Paradigm With Responsibility
Prompt-Oriented Development is not about replacing knowledge, but reshaping how knowledge is applied. It requires foundational skills, critical thinking, and ethical awareness.
To practice POD effectively.
- Understand what each prompt is doing
- Question AI output, debug, test, and refine
- Use AI as a thought partner, not a vending machine
- Continue learning core concepts (e.g., data structures, system design)
Conclusion: Rename It to Reframe It
It’s time to stop trivializing AI-assisted coding as “vibe coding.” That name belongs to memes and one-liners, not a legitimate, professional craft.
Let’s start calling it what it is.
Prompt-Oriented Development (POD)
Because AI is no longer a novelty, it’s part of the workflow. And mastering it is not lazy coding. It’s the new literacy.