What is Vibe Coding?

The loop is describe, generate, run, react. A developer states what they want, the model produces an implementation, the developer runs it and responds to the result, and the cycle repeats until the behavior is right. Much of the review happens by observing behavior rather than reading every line.

This shifts where effort goes. Less time is spent on syntax, boilerplate, and API lookup, and more on specification, verification, and deciding whether what came back is actually correct. The skill that matters most becomes knowing what correct looks like.

It is strongest where the desired outcome is easy to state and easy to verify by running it.

• Prototypes: reaching a working demonstration in a fraction of the usual time.
• Unfamiliar territory: productive work in a language or framework the developer does not know well.
• Mechanical work: scaffolding, tests, and repetitive transformations.
• Exploration: trying several approaches cheaply before committing to one.

Code that works is not the same as code that is understood. When vibe coded software reaches production and fails at 3am, the person debugging it may never have read it closely, and comprehension debt comes due at the worst moment.

The risks concentrate in what running the code does not reveal: performance under load, error handling on paths that were never exercised, security properties, and interactions with systems that were not part of the local test. These are precisely the properties that determine production behavior.

Traditional development front loads comprehension. The developer builds a mental model while writing, so when something breaks they already know the terrain. It is slower to produce and faster to debug.

Vibe coding inverts that. Output arrives quickly and comprehension is deferred, which is an excellent trade for prototypes and a poor one for a payment path. The practical approach is to match the method to the stakes, and to require real review and testing before vibe coded work crosses into production.