AI-BUILT APPLICATIONS

Governed vibe coding: let AI build without bypassing IT

Vibe coding proved something important: someone who knows the process can build their own tool in hours, without waiting for a ticket. The problem starts when the team begins using that tool and one day it holds customer data.

Prototype yes, production with rules

An AI-built prototype is an excellent way to validate an idea: in an afternoon you see whether the process makes sense. Moving to production is different: it needs a database, permissions, backups, environments and someone accountable when it fails.

The usual mistake is not separating the two moments. The experiment app stays, grows and becomes critical with no owner, no repository and IT unaware it exists. When it breaks, nobody knows who to call.

Governed vibe coding keeps the speed of the experiment and adds the production lane: the employee describes what they need, the platform generates a real app with a standard stack, publishes it to Test and only moves to Production with human approval.

THE CHALLENGE

Build fast, then discover what you built

Vibe coding works until the application grows: sensitive data shows up, a critical process depends on it, and the question becomes who is accountable if it fails.

  • Endless prototype

    What started as an experiment ends up supporting a real operation, with no backups, no test environment and nobody maintaining it.

  • Invisible debt

    Code generated by iteration accumulates decisions without criteria: nobody knows which part is needed and which part is noise.

  • Security last

    Permissions, input validation and access control usually get added once real users and real stored data are already there.

APPROACH

Speed with structure underneath

We keep the speed of iteration and lay the foundations behind it: roles, data, environments and version control from the first commit.

  1. Foundations before features

    Data model, authentication and separation between test and live are solved at the start, while changing them is still cheap.

  2. Iterate with criteria

    Each iteration covers a verifiable use case, not one more screen: if it cannot be tested, it is not finished.

  3. Review over generated output

    Agent-generated code goes through human review and automated tests before it lands, like any other change.

  4. Controlled production step

    Nothing reaches live without a prior test environment, a backup and a defined way back if something goes wrong.

DELIVERABLES

A product, not an experiment

The application that began as an idea ends up as something your team can maintain without depending on whoever built it.

  • Maintainable application

    Code in a repository with an understandable structure and minimal documentation so another person can continue it.

  • Modelled data

    A relational database with clear entities and versioned migrations, not an improvised store of loose records.

  • Controlled access

    Authentication, roles and permissions defined per process, with a record of who does what and from where.

  • Separate environments

    Test and production kept apart, with reproducible deployment and the ability to roll back to the previous version.

TRUST

Building fast is compatible with building well

The team has delivered enterprise software since 2008, with offices in Barcelona and Madrid and remote collaboration across Spain, Europe, LATAM and the US. Secure development practices and ENS awareness; the code stays in your organisation.

  • The employee asks for the app in Teams, in natural language or with their spreadsheet.
  • The platform proposes a plan with steps, roles and authorisations; nothing runs without approval.
  • It is built with React, Node and SQL Server and published to Azure Test with its own URL.
  • Production only with human confirmation, custom domain if needed and a repository from day one.

FAQ

Questions about governed vibe coding

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