The term was coined by Andrej Karpathy in early 2025: _”Vibe coding is when you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”_ Two years later it is already part of the industry’s vocabulary, although it is still misunderstood.
It’s not “letting AI code for you”
The most common misunderstanding: vibe coding = not knowing what you are doing. The reality is the opposite. For AI to produce useful code you need:
- To know exactly what you want — prompt precision is proportional to the developer’s experience.
- To evaluate the output — distinguish idiomatic code from code that “works but is a ticking time bomb”.
- To direct the iteration — know when to redirect, when to reject, when to accept.
Vibe coding is high-level design executed at high speed. It doesn’t eliminate the need for technical judgment; it amplifies it.
The flow in practice
A typical vibe coding cycle today looks like this:
1. Clear intention — you define the _what_ and the _why_ accurately.
2. Quick AI draft — you get 70-80% of functional code.
3. Review and guide — you correct the course, clarify invariants, add context.
4. Iterative refinement — several short rounds until the result is solid.
5. Tests and final review — you never skip this step; AI introduces technical debt if you don’t supervise it.
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> The most valuable thing is not the raw speed, but that AI frees you from the _cognitive scroll_ — that layer of boilerplate and syntax that separates you from the real problem.
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What tools define the ecosystem in 2026
| Tool | Purpose | Strong point |
| ——————– | ——————————— | —————————– |
| GitHub Copilot | Autocomplete + agent in editor | Native VS Code integration |
| Cursor | AI-first editor | Full codebase context |
| Windsurf | Autonomous editing agent | Multi-file flows |
| Claude (API) | Complex reasoning | Huge context window |
| Gemini 2.0 Flash | Speed and cost | Fast iterations |
The skills that gain more value
Vibe coding does not deprecate all technical skills, but it redistributes their value:
Gain more value:
- Architecture and system design
- Judgment on what code is maintainable in the long term
- Ability to write precise and contextual prompts
- Code review and problematic pattern detection
- Knowledge of domain rules (business, security, UX)
Lose relative relevance:
- Memorizing syntax
- Writing boilerplate manually
- Knowing the API of every library by heart
A cultural change, not just a technical one
Some developers resist vibe coding for a legitimate emotional reason: control. Writing every line gives the feeling of completely understanding the system. But that feeling was always partially illusory in large projects.
The question is not _should I use AI?_ but _how do I build trust in a system I didn’t completely write myself?_ The answer is the same as always: tests, reviews, and judgment. Only now applied to a larger volume of production.
The developer of the future is not the one who produces the most code or the one who uses AI the least. It is the one who builds systems that work, using the best available tools with the best possible judgment.
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