Vibe Coding, Seriously: Shipping Fast Without Shipping Debt

Vibe coding — describing what you want in natural language, accepting what comes back, and steering by feel — is easy to dismiss and hard to argue with once you have watched a working prototype appear in an afternoon. The honest position is that it is a genuinely powerful mode with a specific failure curve, and the discipline is knowing where on that curve you are.

What it is actually good at

Speed of exploration. When the goal is to find out whether an idea is worth building, the cost of the code is nearly irrelevant and the cost of delay is everything. Vibe coding excels at throwaway prototypes, internal tools with three users, one-off data transformations, and the first version of a UI whose shape nobody can specify in advance because it has to be seen to be judged.

Where the curve turns

The turn comes when something built this way acquires users, data, or dependents. The problems that surface are consistent: no test coverage to protect behaviour, inconsistent patterns because each session made independent choices, security assumptions nobody stated, and a data model that grew by accretion. None of these are caused by the model. They are caused by skipping the step where someone decides what the system is.

• Authentication and authorisation invented per endpoint rather than centrally.
• Secrets and configuration inlined because it worked and nobody revisited it.
• Input validated at the UI but not at the boundary that matters.
• Three slightly different date-handling helpers, one of which is wrong.

Guardrails that do not slow you down

You do not need to abandon the mode to make it survivable. A small set of constraints, applied from the start, preserves nearly all the speed. Fix the data model deliberately, in one place, before generating features that depend on it. Keep authentication and authorisation in a single module that everything routes through. Turn on strict typechecking and treat it as the contract the model must satisfy. Write tests for the two or three behaviours that would be genuinely damaging if they broke — not for coverage, for insurance.

Vibe code the surface. Never vibe code the data model, the auth boundary, or the money.

Have an explicit graduation moment

The most useful practice we recommend to teams working this way is to name the moment a prototype becomes a product. At that point you stop adding features for a day and do four things: consolidate duplicated patterns, write down the data model, review every boundary that accepts external input, and add the test suite. A day spent on that at the graduation moment costs a fraction of what the same work costs six months later, when the tangle has load-bearing users on top of it.

Handled this way, intuition-led building is not the opposite of engineering discipline. It is a phase, with an entry point and an exit, and teams that manage the exit deliberately get the speed without inheriting the debt.