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From Vibe Coding To Real Products: Why We Are Building IORox

How vibe coding tools excel at demos but struggle with production systems, and why IORox bridges that gap with architecture-first AI, managed databases, proper authentication, and full portability.

Eli Abdeen
10 min read
IORoxAI DevelopmentWeb ApplicationsArchitectureProduct Engineering
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A new generation of tools promises to turn ideas into apps in minutes. Lovable, Bolt, Replit agents, v0, and similar platforms make it possible to "vibe code" a landing page, a personal portfolio, a simple dashboard, or a tiny utility app with a few prompts and clicks.

For that category of work, these tools are genuinely useful. You can get something online in a few hours, avoid boilerplate, and show a stakeholder a working link instead of a slide.

The problems start when you try to build something that must survive.

Vibe coding tools are optimised for first drafts, not for long term products. The moment you try to grow from "nice demo" into a real web application with dozens of pages, complex logic, real users, and real data, you collide with their limits.

That collision is exactly why we are building IORox.


1. The divide between "this looks cool" and "this will last"

At small scale, almost any generated stack works:

  • a single page marketing site
  • a public portfolio
  • a simple analytics dashboard
  • a one feature internal tool

These are the natural home of vibe coding.

The picture changes completely when you try to build:

  • an ecommerce platform with catalogs, carts, orders, payments, refunds, invoices, and admin tooling
  • an online education and training system with courses, modules, lessons, assessments, progress tracking, and multi role permissions
  • a customer portal or B2B SaaS with multi tenant dashboards, role based access, usage tracking, and billing
  • an internal operations system that touches real data, compliance rules, and third party integrations

At that point, you are not just generating UI. You are shaping a living system that must:

  • scale across many pages, features, and user roles
  • keep a coherent, UX and UI optimised design system
  • manage a real database schema with proper migrations
  • implement authentication and authorization correctly
  • support observability, logging, and recovery from failure
  • remain maintainable when new people join the team

Getting version 1 into a browser is no longer the hard part. The hard part is still shipping confidently at version 20, 50, and 200.


2. Where vibe coding tools usually break down

Most current AI builders and vibe coding environments are designed for the "wow" moment:

  • fast visual feedback
  • reasonable looking layouts
  • simple flows that work in isolation

They are not designed for the realities of a long lived product.

2.1 Closed runtimes and weak portability

A common pattern is the locked in runtime:

  • your app runs inside the platform's infrastructure
  • you get limited or no control over deployment details
  • exports, if available at all, are partial and messy

Even when code export is offered, it often lacks a clear story for:

  • database connectivity and migrations
  • authentication and session management
  • environment configuration per stage (dev, staging, prod)

You can get something running quickly, but moving that app into your own environment, scaling it, or handing it over to a different team becomes painful.

2.2 Fragile architecture under the surface

Lift the hood on many generated projects and you often find:

  • UI, domain logic, and data access tightly mixed
  • duplicated logic scattered across components and routes
  • no clear boundaries between features or domains

This is manageable while the app is tiny. As soon as you need to:

  • split responsibilities across teams
  • enforce patterns such as modular monolith or service oriented design
  • introduce testing and refactoring at scale

you realise the architecture never had room to grow. It was never designed for a real SDLC.

2.3 Database and authentication as afterthoughts

For any serious web application, data and identity are foundational.

You need:

  • a fully managed, scalable database that you can grow, monitor, and back up
  • a clear schema with evolvable migrations and a history you can audit
  • an authentication system that supports sign up, login, password reset, session security, and role based access
  • the ability to move your database and code to another provider if your needs change

In many vibe coding environments:

  • the data layer is tightly coupled to the platform's internal back end
  • migrations are either hidden away or not treated as first class artifacts
  • authentication is implemented as a black box with little control over flows or extensibility

You are not in control of the most critical parts of your system.


3. What a serious AI app builder must actually solve

If the goal is scalable, UX and UI optimised, production grade web applications, then an AI builder has to behave more like a senior engineering team than a demo generator.

3.1 From idea to architecture, not just to layout

Instead of jumping straight to screens, the builder needs to:

  • understand the domain and decompose it into features and flows
  • propose a structure for routes, pages, and shared components
  • design data models that reflect real entities and relationships
  • think through how authentication and authorization fit into the system

The first action is architecture, not decoration.

3.2 Respect for the full SDLC

AI should integrate with a real software development life cycle, not bypass it.

That means:

  • Git as the canonical source of truth
  • branches and pull requests as the unit of change
  • code review as a normal step, even when AI created the patch
  • a clear promotion path from development to staging to production

The builder must generate projects that fit into existing workflows, not invent a parallel universe.

3.3 First class database and authentication stories

A credible AI app builder must treat data and identity as primary concerns:

  • use fully managed, scalable PostgreSQL instances that can grow with the product
  • manage the database through Prisma schemas and migrations, so schema changes are explicit, repeatable, and version controlled
  • support fully manageable authentication systems that you can configure and extend, rather than opaque black boxes
  • ensure that everything is transferable: code, migrations, and repositories should allow you to move to another compliant PostgreSQL provider at any time without losing control

This is what gives teams long term confidence. Nothing critical is trapped inside a proprietary runtime.


4. IORox: an AI builder that plans, builds, and stays portable

This gap between "vibe apps" and real products is exactly what IORox is designed to close.

IORox is an AI powered builder for modern web applications focused on:

  1. Think first, generate second
  2. Own your database and authentication
  3. Keep everything portable and under your control

4.1 Architecture first, code generation second

IORox uses a planning layer before it writes a single line of code.

Given a product idea, it will:

  • extract features and use cases
  • design navigation, routes, and page structure
  • propose domain models and relationships
  • define entities in a Prisma schema that reflects a well structured PostgreSQL database

Instead of "here is a pretty page," you get "here is a coherent application skeleton, with data and flows that make sense."

4.2 Managed PostgreSQL with Prisma at the core

Under the hood, IORox assumes a fully managed, scalable PostgreSQL environment.

It uses Prisma as the data access layer and schema source of truth:

  • your models live in a Prisma schema file that is version controlled
  • migrations are generated and tracked, so schema evolution is explicit and reproducible
  • queries and mutations are strongly typed and consistent across the application

Because the application talks to PostgreSQL through Prisma and standard connection details, you keep full flexibility to:

  • start on one managed PostgreSQL provider
  • move to another later
  • run your own managed instance, if needed

Your database is not glued to IORox. It is yours.

4.3 Authentication as a first class system

Authentication in IORox is not a checkbox. It is a subsystem.

Projects are scaffolded with:

  • user registration, login, logout, and password reset flows
  • secure session handling
  • a structure for roles and permissions
  • integration points for external identity providers when needed

The flows are implementable, auditable, and extendable. You can change behaviour, add new roles, or integrate with a custom access control system. You are not locked into a hidden, proprietary auth service.

4.4 Everything is transferable

This is a critical point: everything IORox generates is meant to be transferable.

You get:

  • a Git repository under your own control
  • application code written in a modern full stack framework
  • Prisma schemas and SQL migrations committed beside your code
  • configuration that points to a standard PostgreSQL instance

If you ever decide to:

  • move away from IORox
  • switch PostgreSQL providers
  • bring the project entirely in house

you can do so. The code, the migrations, the repository, and the database are structured for portability, not dependency.

IORox is the accelerator, not the owner, of your product.


5. Concrete scenarios where IORox matters

To make this more tangible, consider three common product shapes.

5.1 Ecommerce platform

You might start with:

  • home, category, and product pages
  • a cart and checkout flow

IORox will not stop at UI. It will:

  • define product, variant, inventory, order, and payment entities in Prisma
  • scaffold migrations for the initial schema
  • generate views and logic for carts, orders, payment status, and refunds
  • wire the flows into a modern web stack, with authentication for customer accounts and admin users

As your needs grow, you can add:

  • discount rules
  • multi currency support
  • customer segments and advanced reporting

Each change lives in the codebase and in migrations, under version control.

5.2 Online education and training system

You begin with:

  • a catalog of courses
  • public course pages

IORox can then:

  • model courses, modules, lessons, assets, enrollments, and progress in Prisma
  • generate migrations and application code to manage these entities
  • scaffold learner dashboards, instructor dashboards, and admin views
  • implement authentication flows for different roles and access rules for content

Again, every change is trackable and portable. The database is a managed PostgreSQL instance that you fully control.

5.3 Multi tenant SaaS dashboards

You want to build a B2B SaaS where each customer (tenant) has its own workspace.

IORox will:

  • model tenants, users, memberships, and roles in the schema
  • generate per tenant data structures and access patterns
  • scaffold dashboards, settings pages, and audit logs
  • ensure authentication and authorization logic respect tenant boundaries

Because the database and code are built on standard, portable components, you can evolve the system without getting trapped in someone else's back end.


6. From vibes to durable velocity

Vibe coding tools proved that AI can remove a lot of friction from early creation. That is valuable. They make it easier to explore ideas and show something concrete quickly.

But serious products need more than first impressions. They need:

  • architecture, not just screens
  • a database and auth story you can trust and evolve
  • migrations you can audit and roll forward or back
  • full ownership of code, repository, and infrastructure choices
  • a smooth path from prototype to mature system, without a full rewrite

IORox is our answer to that need.

It is built for teams who want the speed of AI assisted building, but refuse to give up on quality, portability, and long term control of their products. Code, migrations, databases, and repositories remain yours, fully manageable and transferable, while IORox handles the heavy lifting from idea to running application.

The era of AI is not only about building something quickly. It is about building something quickly that you are still proud to maintain years later. That is the bar we are designing IORox to meet.

You can explore IORox and request access at iorox.com.

Eli Abdeen

Brainstron AI

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