Vibe coding narrows the gap between an idea expressed in natural language and a working application. It is a quick way to explore a workflow, validate an interface or automate a well-defined task. When the result has to handle users, money or real data, however, the prompt is only the beginning: control depends on verifiable requirements, separate environments, reviews, observability and recovery capabilities.
A quick prototype is not yet a product
Collins chose “vibe coding” as its 2025 Word of the Year and describes it as software development that turns natural language into code through AI. The term captures the fluidity of exploration well: you express an intent, observe the result and iterate without having to write every line by hand.
Popularity and adoption are not the same as operational maturity. In Stack Overflow’s 2025 Developer Survey, 84% of 33,662 respondents said they used or planned to use AI tools in development. In a separate question about vibe coding, 72% of 26,564 respondents said it was not part of their professional work. This was a voluntary survey and does not represent every team; it still shows why an assisted experiment should be distinguished from the responsibility of maintaining a real system.
Turn the prompt into verifiable requirements
“Build a customer portal” does not specify who may view an order, what happens to a duplicate request, which data is required or how an interrupted payment is handled. Before delegating the code, describe the users, core workflows, permissions, data constraints, failure cases and observable acceptance criteria.
Non-functional requirements must also be explicit: expected response times, accessibility, volumes, data retention, integrations, compatibility and availability. An inventory of dependencies, migrations and external services reveals what a convincing interface tends to conceal and makes it possible to estimate maintenance and risk.
Give the agent an environment, not the keys to the system
Development, testing and production must use separate credentials, data and resources. A coding agent should operate in an isolated environment, with synthetic or minimised data and no production secrets. Permissions should be limited to the files, commands and services required for the current task.
High-impact actions—changing a pipeline, applying a migration, rotating a secret, sending messages or deploying to production—require a separate approval step. Control does not depend on a promise written in the prompt, but on technical barriers that prevent the agent from crossing the boundary even when it misinterprets the objective.
Build checks that are independent of the generated code
Tests must derive from the expected behaviour, not solely from the implementation produced by the agent. Negative cases, authorisation checks, integration tests and concurrent scenarios are needed alongside the happy path. OWASP warns that an agent can make CI pass by weakening assertions, deleting tests or mocking the very dependency it should verify, so changes to tests deserve a dedicated review.
Human review remains necessary for domain decisions and the highest-impact areas: authentication, authorisation, money, personal data, migrations, dependencies and build configuration. The 2025 DORA report describes AI as an amplifier of organisational strengths and weaknesses; fragile tests and unclear responsibilities become faster, not safer.
Release in an observable and reversible way
Code, configuration and the database schema must be versioned together. Before deployment, you need a verified backup, a restore procedure, migrations compatible with the previous version and a tested rollback. Feature flags, gradual rollouts or a pilot group reduce the blast radius of an error, but do not replace the ability to recover data.
After release, structured logs, metrics, error tracking and business signals must show whether real behaviour matches expectations. A definition of “ready” includes an owner, essential documentation, alert thresholds and an incident procedure. Only when this cycle is repeatable does it make sense to increase autonomy and speed.