Andrej Karpathy calls it 'Vibe Coding' — building software without really reading the code. Sounds crazy. But it works more often than you'd think. An assessment.
What Is Vibe Coding?
In early 2026, Andrej Karpathy — former Tesla AI chief and OpenAI co-founder — coined a term that has since divided the developer community: Vibe Coding.
The idea: You describe what you want. The AI builds it. You test the result, not the code. If it works, it works.
Sounds unprofessional? Maybe. Does it work? Surprisingly often.
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Why the Term Is Polarizing
Camp 1: "This isn't real development"
Experienced developers see vibe coding as a regression. Code nobody understands becomes a black box. Maintainability goes to zero. Technical debt explodes.
Camp 2: "This is the future"
Business people and indie hackers love it. They build in hours what used to take weeks. Prototypes, MVPs, internal tools — all without an engineering background.
The truth: Both are right. It depends on context.
Where Vibe Coding Works
Prototypes and MVPs
You want to test an idea. Whether the code is "clean" doesn't matter — only whether the product works. This is where vibe coding is ideal: build fast, gather feedback, iterate.
Internal Tools
The dashboard for the sales team. The monitoring tool for ops. The migration script that runs once and never again. Code that doesn't have a 10-year lifecycle doesn't need 10-year engineering.
Proof of Concepts
Before the meeting with the investor or the board: a working demo instead of slides. Vibe coding delivers in hours what otherwise takes sprints.
Personal Projects
Side projects, hobby apps, learning projects. If you want to have fun, you don't need to review every line.
Where Vibe Coding Gets Dangerous
Production Code for Customers
Software that costs money, processes data, or is regulated. Here, "I don't understand the code" is not an acceptable stance. Bugs, security vulnerabilities, and compliance violations lurk everywhere.
Long-Lived Systems
Code that needs to be maintained in 5 years can't be "vibed." At some point, someone needs to fix a bug — and they need to understand the code.
Team Contexts
One developer vibes alone. In a team, vibe coding becomes chaos: no reviewer understands the code, no onboarding is possible, no architecture decisions are traceable.
The Professional Middle Ground
Instead of rejecting vibe coding entirely or blindly embracing it, there's a pragmatic approach:
- 1.Phase 1: Vibe — Build fast, validate the idea, gather feedback
- 2.Phase 2: Verify — Check the result, write tests, audit security
- 3.Phase 3: Harden — Review code, refactor, make it production-ready
The trick is not to confuse Phase 1 with Phase 3. Vibe coding is a prototyping tool, not a production workflow.
What You Can Take Away
Vibe coding shows where things are heading: software is being built at a higher level of abstraction. Not "which line of code do I write?" but "what result do I want?"
For your team, this means: the ability to steer AI effectively is becoming more important than the ability to write every line yourself. This isn't a loss in quality. It's a shift in quality criteria.
