Vibe Coding vs AI-Assisted Development
This post explains the difference between vibe coding and AI-assisted development.
- vibe-coding
- ai
- tools
Vibe coding and AI-assisted development sound like the same thing wearing two different hats.
Both involve you, an AI tool, and a pile of code you didn’t personally type. So what’s the actual difference?
Ask a vibe coder and they’ll tell you there isn’t one.
Ask a career software engineer and you’ll get a remarkably different answer, delivered in a remarkably different tone.
So which is it? Let’s settle the debate.
What Is Vibe Coding?
Vibe coding is building software without knowing how to build software. More precisely, it’s building an app without ever reading the code that comes out the other end.
The term comes from Andrej Karpathy, who posted it on February 2, 2025 and accidentally named an entire era of software development in about forty words.
"There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists."
That’s the whole thing. You don’t care which language the app is written in. You don’t care whether the folder structure makes sense, or whether the same function has quietly been written four times in four different files. You care that it works.
Later, once a few people actually start using the thing, you might start caring about whether it can handle traffic or whether it’s leaking data.
Even then, though, you’re still not reading the code. You’re describing the problem to the AI and asking it to go fix it.
Hence the vibe. You can hand Claude Code a genuinely complicated feature, hit enter, and go watch a movie in the foreground while it works in the background.
It plans, writes the files, runs the tests, reports that nothing else broke, and offers to deploy. Odds are the feature is done before the credits roll.
What Is AI-Assisted Development?
Like we said earlier, anyone who hasn’t done software development as a career will tell you that ai-assisted development is just vibe coding by another name.
So the definition that follows is from the perspective of a software engineer.
AI-assisted development uses the exact same tools, with a very different prompt and a very different ending.
Instead of “add a login page to my app,” the prompt reads more like this:
> add a login page. use the session helper that already exists in src/lib/auth.ts, keep the form in its own component, don't touch the user model, handle expired tokens the same way the password reset flow does, and don't pull in a new dependency for this.
Then comes the part vibe coding skips entirely. When the tool is done, you actually read what it wrote.
You push back on the parts you don’t like, explain why, and the code gets rewritten until it looks like something you’d have written yourself (back when you still wrote code by hand).
While reading, you’re checking things like:
- Is this modular, or is it one 600-line file doing eight unrelated jobs?
- Will someone else understand this in six months?
- Did it hallucinate anything, like a library that doesn’t exist?
- Does the business logic actually match how the business works, including the cases you forgot to mention?
- Is there a simpler version of this?
- Did it rebuild something the codebase already had?
- Are the tests checking real behavior, or just asserting that the code does what the code does?
Spec-Driven Development
At bigger companies, this way of working usually goes by another name: spec-driven development.
Same idea, just formalized. Before anyone types a prompt, the engineers settle what the feature does, which edge cases matter, and what the data looks like.
There’s even tooling for it now.
GitHub’s open-source Spec Kit splits every feature into five ordered steps: set the project’s ground rules, write the spec, plan the technical approach, break it into tasks, and only then generate code.
Amazon’s Kiro writes a requirements file, a design file, and a task list before it touches the feature.
You don’t need these tools though. A plain markdown file works fine. What matters is the sequencing: decide first, generate second.
Vibe Coding vs AI-Assisted Development: The Short Version
Here’s the whole argument in one table.
| Aspect | Vibe coding | AI-assisted development |
|---|---|---|
| The prompt | "Add a login page" | A paragraph of constraints, file names, and edge cases |
| Who picks the architecture | The model, silently | You, before the model starts |
| Do you read the code? | No, that's the point | Every diff, line by line |
| What you need to know | How to describe what you want | Enough to recognize bad code when you see it |
| Who catches the hallucinations | Your users | You, during review |
| Speed in week one | Extremely fast | Noticeably slower |
| Speed in month six | Every change breaks two other things | Roughly the same as week one |
| When something breaks | You prompt harder and hope | You read the code and guide the tool towards the fix |
| Best suited to | Prototypes, MVPs, internal tools, weekend projects | Real-world applications with thousands of users |
Notice that most rows aren’t about the tool at all. Both columns can be the same Claude Code session on the same laptop. The difference is entirely in what the human does before and after hitting enter.
Conclusion
If the line between the two still feels blurry, it’s because it genuinely is, and that’s fine.
These aren’t scientific principles that need an agreed definition. Nobody convened a standards body. One of them was coined in a tweet and the other is a phrase engineers started using to describe what they were already doing.
They’re buzzwords, and everyone is entitled to their own opinion about where one ends and the other begins.
Our position is this: gravitate toward AI-assisted development where you can. Not because vibe coding is beneath you, but because reading what your tools produce is the only reliable way to stay in control of your own project.
But vibe coding is fine too.. especially if you don’t want to kill your vibe.