You have an idea for an app.
There is only one small problem.
You don't actually know how to build it.
Traditionally, this is where you would learn a programming language, spend several evenings wondering why your code doesn't work, discover that the problem was one missing bracket, question your life choices, fix the bracket, and continue.
Vibe coding changes that process.
Instead of writing every line of code yourself, you tell an AI what you want to build.
The AI writes the code.
You test it.
Something inevitably behaves strangely.
You tell the AI.
It changes the code.
You test it again.
And slowly, your idea starts becoming an actual working program.
Welcome to vibe coding.
So, What Is Vibe Coding?
Vibe coding is a way of creating software by describing what you want to an AI coding tool, which then generates the computer code for you.
Instead of manually writing every instruction, you might type something like:
Create a simple quiz game that asks the player five Computer Science questions and gives them a score at the end.
The AI generates the code.
You run it.
Then you tell the AI what you want changed.
Maybe you want harder questions.
Maybe you want a timer.
Maybe the score somehow says you got 47 out of 5.
Back to the AI we go.
That's an important part of understanding vibe coding.
You aren't simply pressing a magic MAKE APP button.
You're having an ongoing conversation with AI while a program gradually takes shape.
How Does Vibe Coding Work?
The basic process is surprisingly simple:
Idea → Prompt → Generate → Test → Improve → Working Project
You start with an idea.
You turn that idea into a prompt explaining what you want.
The AI generates code.
You test what it created.
You then improve your instructions or ask the AI to fix problems.
And you repeat.
And repeat.
And occasionally repeat again because apparently the giant green button you requested has decided it would rather be tiny and orange.
A Simple Vibe Coding Example
Imagine a GCSE Computer Science student wants to create a revision quiz.
Normally, they might open Python and start building it themselves.
With vibe coding, they could begin by asking an AI:
Create a Python quiz that asks five questions about binary and tells the user their final score.
The AI generates some Python code.
The student runs it.
It works.
Mostly.
But now they decide they want the program to tell the player whether each answer was correct.
So they ask:
After each question, tell the player whether their answer was correct or incorrect.
The AI updates the program.
Then the student decides it needs a welcome message.
Then randomised questions.
Then difficulty levels.
Then a leaderboard.
We started with five binary questions.
We are now apparently building Who Wants to Be a Computer Scientist?
That's vibe coding.
The programmer increasingly focuses on describing, testing and refining the idea, while AI handles more of the actual code generation.
Why Is Everyone Talking About Vibe Coding?
Because it changes who can build software.
Historically, there has been quite a large gap between:
“I have a brilliant idea for an app.”
and
“I can actually build an app.”
That gap usually contains programming languages, syntax, debugging, frameworks and a considerable amount of Googling.
AI can make that gap smaller.
Someone with limited programming experience can now describe an idea and potentially create a working prototype much faster than before.
Experienced programmers can also use AI to generate repetitive code, experiment with ideas and develop prototypes more quickly.
That makes vibe coding interesting far beyond the latest AI trend.
It changes the relationship between having an idea and being able to build it.
What Are the Advantages of Vibe Coding?
The obvious advantage is speed.
AI can generate large amounts of code in seconds.
It can also make programming more accessible to beginners who may understand what they want a program to do but don't yet know all the syntax required to create it.
Vibe coding can be particularly useful for:
- experimenting with ideas
- creating prototypes
- learning how programs work
- building small projects
- testing different features
- speeding up repetitive programming tasks
It can make programming feel less like staring at an empty code editor and more like solving a problem through conversation.
Which sounds considerably less intimidating.
But There Is a Catch
AI can write code.
That doesn't mean the code is good.
Or secure.
Or efficient.
Or even correct.
AI-generated code can contain errors, misunderstand your instructions or confidently create something completely different from what you intended.
This creates an interesting problem.
The easier it becomes to generate code, the more important it becomes to know how to judge code.
You still need to ask:
Does this actually work?
Is the output correct?
Is the code secure?
What happens with unexpected inputs?
Why has my calculator started recommending sandwich fillings?
AI doesn't remove the need for thinking.
If anything, it changes where the thinking happens.
Is Vibe Coding the Same as Programming?
Not quite.
Traditional programming usually involves the programmer directly writing and understanding the code used to create the software.
With vibe coding, AI may generate much more of that code.
The human focuses more heavily on:
what should be built → how should it behave → does it work → what needs changing?
There is still problem solving.
There is still testing.
There is still debugging.
But the relationship between the programmer and the code is different.
Do We Still Need to Learn Coding?
Yes.
And this is probably the most important point for students.
If AI can generate code, it might seem logical to ask:
Why bother learning programming?
Because someone still needs to know whether the AI has produced something sensible.
Understanding programming helps you recognise errors, test solutions, debug problems and give AI better instructions.
Imagine having a calculator but never learning mathematics.
The calculator is incredibly useful.
But understanding the maths makes the calculator much more useful.
AI coding tools are similar.
The stronger your understanding of programming and Computer Science, the better equipped you are to use them intelligently.
What Does Vibe Coding Mean for Computer Science?
Computer Science education has always changed alongside technology.
We moved from punch cards to keyboards.
From machine code to high-level programming languages.
From searching enormous manuals to searching Google.
And now we're increasingly able to describe software in ordinary language and ask AI to help build it.
The tools change.
The underlying skills remain remarkably important:
problem solving, computational thinking, logic, testing, evaluation and understanding how computers work.
Students aren't entering a world where Computer Science matters less because AI exists.
They're entering one where understanding technology may matter even more.
Because generating something is becoming easy.
Knowing whether what you've generated is actually any good?
That's the interesting part.
Vibe Coding Explained Visually
If you're teaching AI, programming or emerging technology, I've also created a Vibe Coding Computer Science Poster that turns the concept into one simple visual reference.
It covers:
Prompt → Generate → Test → Improve
along with the main advantages and limitations of AI-generated code.
It's designed for KS3, GCSE and A-Level Computer Science classrooms, computer labs and student study spaces.
Because sometimes a Computer Science concept doesn't need another 47-slide presentation.
Sometimes it just needs to be explained properly.