Vibe coding means describing the result you want in natural language instead of typing the code yourself, then reviewing and correcting what the AI writes until it is finished. Explaining precisely what you want to build matters more than knowing the syntax. The responsibility for reviewing it, though, still sits with you.
That last sentence is the point of this article. Let’s start with the concept.
What vibe coding actually is
The term spread in early 2025 after AI researcher Andrej Karpathy described “forgetting that the code even exists and giving in to the flow”. It started as something close to a joke. It is now a plain noun for a way of working.
The difference from the traditional approach is clear.
Traditional development
Vibe coding
Exactly one stage changed. “Writing” became “describing plus reviewing”. Nothing disappeared, and that matters. The common misreading is that vibe coding shortens the whole process. What actually shortens is the time to a first working result; review and integration time often go up.
Why the term is suddenly everywhere
Interest is measurable. On Google Trends, Korean search interest in vibe coding averaged 25 over the last twelve months, peaking in the first week of May 2026 (100). Over the same period AI coding averaged 15.
25
12-month average interest
100
Peak · first week of May 2026
18–22
Flat range, last 3 months
To be precise, interest has been cooling since the May peak. It is more accurate to read this as a term that has passed its spike and moved into real use than as one still climbing.
Note: these figures are Google Trends relative indices (0–100), not absolute search volumes. Naver search data could not be verified because of an account linking issue, and will be added once available.
From a practitioner’s point of view, that cooling is a good sign. The phase driven by novelty is over, and the phase of deciding “can our team actually adopt this” has begun.
The tool landscape — where to look first
The tools searched most often alongside “vibe coding” are the Claude family, followed by Cursor and Codex.
| Tool | Form | Where it fits | What to watch for |
|---|---|---|---|
| Claude Code | Terminal-based agent | Edits across many files, refactoring, getting oriented in an existing codebase | Easier to pick up if you already live in the terminal |
| Cursor | Editor with AI built in | When you want to keep the IDE habits you already have | You have to switch editors |
| Codex | Agentic coding tool | Delegating well-defined units of work | Results vary more as the scope widens |
There is no need to agonise over the choice. All three work on the same principle, and picking one and using it on real work for two weeks tells you far more than staring at a comparison table.
The seven places teams actually get stuck
These problems show up repeatedly in the first weeks of adoption. Symptom, real cause, and response together.
| Symptom | What actually caused it | Response |
|---|---|---|
| Code appears, but the schedule does not move | The bottleneck did not vanish — it moved from writing to reviewing | Put review time explicitly into the plan |
| It works, but nobody can explain why | The output was accepted without review | A rule: code you do not understand does not get merged |
| The more you ask, the further it drifts | Repeated one-off instructions with no context | Lead with the goal, the constraints, and the existing structure |
| Libraries and functions that do not exist | Model hallucination | Always verify imports and dependencies against the real thing |
| Mass rejection at review | Team conventions were never communicated | Include the convention doc in the prompt context |
| Incidents in security and auth code | Sensitive areas were delegated too | Auth, permissions and payments stay hand-written |
| Seniors get faster, juniors do not | Without review skill there is no acceleration | Pair adoption with learning the fundamentals |
The most important row in that table is the last one. Vibe coding does not replace skill — it amplifies it. It gives someone who can review several times the speed, and gives someone who cannot a faster way to accumulate unverified code.
The order to start in
Sequence matters. Teams that start by choosing a tool usually stall halfway.
Start with work whose answer you already know
Rebuild a feature you have built before. Review only works if you can judge whether the result is right.
Pick exactly one tool
Choose the one that fits your environment from the table above, and do not switch for two weeks.
Change how you ask
Not “build me a login”. State the goal, the constraints, the existing structure, and the expected result. Most of the quality gap is decided here.
Write your review criteria down
Fix the pre-merge checklist at about five items.
Finish one small thing that actually ships
An internal tool or a personal project, it does not matter. One thing carried to completion leaves a sharper instinct than ten tutorials.
What the tools cannot solve
Here is the honest version. Vibe coding sharply shortens the distance from an idea to a first working result. That is a real change, and it is the whole of what the tool does for you.
But a first result and something usable in production are different things. From the moment you receive AI-written code, what you need is judgement. Does this structure fit our system? Is this error handling enough? Should this part be delegated at all? No tool makes those calls for you.
Hiring shows the same shift. In 2026, “I can use AI tools” is no longer a differentiator. The question has moved to what have you built.
So it is better to treat tools and capability separately. You can install a tool and start today. Judgement only comes from actually building. SurfingBear’s courses were made for that second half — built around finishing something that really runs, not around watching lectures.