On this page
What Is Vibe Coding (and Where Does It Break Down)?
Vibe coding is building software by prompting AI and accepting what works, without reading every line. Learn what it is and exactly where it fails.
Quick answer
- Vibe coding is building software by prompting an AI assistant and shipping what runs, rather than reading and understanding every line.
- It’s astonishingly fast for prototypes and demos, and it breaks down exactly where software always breaks down: at correctness, security, and maintainability under real conditions.
- The skill isn’t avoiding it — it’s knowing which parts of the loop still need a human.
What is vibe coding?
Vibe coding is a workflow in which a developer describes what they want in natural language, lets an AI assistant generate and modify the code, and iterates by feel — running it, seeing if it works, and prompting again — rather than studying the code line by line. The term, coined by Andrej Karpathy in early 2025, captures the shift from writing code to directing it. This site is written for the people doing exactly that.
Why it works
Vibe coding compresses the feedback loop between idea and running software. For prototypes, internal tools, and well-trodden patterns (a CRUD app, a landing page, a script), the assistant’s training data means it produces working code faster than a human could type it. That’s a genuine unlock for people without a formal engineering background.
Where it breaks down
It fails in the same places all software fails, amplified by not having read the code. Correctness — the app works on the happy path and breaks on edge cases the assistant didn’t anticipate. Security — the generated code ships the vulnerability classes this site catalogs, from SQL injection to missing access control. Maintainability — you own a codebase you can’t reason about, so the second feature is harder than the first. And context — the assistant has a limited view of your system, so it breaks things you didn’t tell it about.
Where this bites vibecoders
The honeymoon ends the first time the app does something you can’t explain, or the first time a customer’s data is at risk and you can’t audit the code you shipped. The mature version of vibe coding is not “prompt and pray” — it’s pairing the speed with the disciplines that don’t slow you down much: a spec to anchor intent, tests, and a security review pass.
Where AI coding assistants get this wrong
- Producing a working demo that silently lacks error handling and edge cases.
- Regenerating known vulnerability classes that a reviewer would have caught.
- “Fixing” one bug by introducing two more, because it lacks your system’s full context.
- Optimizing for “runs” rather than “correct and safe.”
Checklist
- Write down intent before prompting, even a few lines.
- Read the parts that touch data, money, or security — don’t skip those.
- Add tests and run them; the green suite is your safety net.
- Review generated code for the known vulnerability patterns.
- Keep the assistant’s context explicit (what changed, what to preserve).
FAQ
Is vibe coding the same as no-code?
No. Vibe coding still produces real source code you own and deploy; you just direct its creation with prompts. No-code tools abstract code away behind a visual interface. The risks are similar — speed now, understanding debt later — but the artifact is different.
Is vibe coding only for beginners?
No. Experienced engineers use it too, but their advantage is that they can read and judge the output quickly. The gap isn’t who prompts — it’s who can tell correct from merely-working.
Can vibe coding be used in production?
Yes, with the same bar as any code: tests, review, and security checks. The failure mode is treating “it ran” as the bar. Production vibe coding means applying the disciplines this site describes on top of the speed.
Related topics
- Software Engineering for AI Builders
- What Is Spec-Driven Development?
- How to Write a Spec an AI Coding Agent Can Actually Follow
- How to Review AI-Generated Code Like a Senior Engineer
- What Makes a Codebase “AI-Friendly”?