Generate software your developers can keep developing

BuildPad is built around a structured architecture rather than treating every prompt as a one-off. The platform, the backend, the UI layer and your code each have a clear job, and requirements, design, tasks and testing wrap the AI-assisted part.

Expandable and Consistent Architecture

How an app is put together

Next.js or Go.js over a DaaS backend
Schema-driven UI components
Specs reviewed before code

The same shape in every feature0/3

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Dev Platform

BuildPad Dev Platform

Manages organizations, projects, microapps, workers, connectors, builds and AI IDE starters.

Provisions the project
Governs platform access
Generates the starters

Backend

BuildPad DaaS

The project's data backend: collections, fields, relations, roles and policies, files, event hooks, workflows, cron jobs and APIs.

Stores the data
Enforces permissions
Exposes REST APIs

Interface

BuildPad UI

The component and interface layer: forms, tables, field interfaces, file managers and other reusable application modules.

Renders the screens
Reads collection metadata
Copied into your project

Stack

Next.js or Go.js over a DaaS backend

You pick Next.js or Go.js, and the starter bootstraps it wired to DaaS
Collection fields map to real database column types
The backend exposes REST endpoints for every collection
One-to-many, many-to-one and many-to-many relations
Components, API routes, auth, tests and deploy config

batchnexus-appNext.js

app/

components/

React componentsAPI routesRelational dataTestsDeploy config

Consistency

Screens built from the schema

Components render from your collection metadata
A field type resolves to the right input control
A collection resolves to a working form or table
Relation and workflow controls are included
The tenth collection is built like the first

bookingsSchema-driven

reference

event

seats

status

confirmed

Both are rendered from the same collection metadata, using over 40 field interfaces.

Spec

Requirements, design and tasks, approved before code

You describe the application in plain language
Your AI IDE drafts requirements, then design, then tasks
You approve each one before any code is written
A mistake costs a sentence instead of a refactor
The three documents stay in the repository

Spec reviewDraft

1# Bookings

3## Requirements

4- A booking belongs to one event and one customer

5- Seats cannot exceed remaining capacity

6- Cancelling records who cancelled it

The hard part starts after the first feature.

The prompt is temporary. The specification becomes part of the project.

AI can produce the first version of a feature quickly. The harder questions arrive at the fifth, the tenth and the fiftieth. Are permissions handled consistently? Can a feature be reviewed before it is generated?

BuildPad's answer is structure rather than speed alone. Clear layers, a familiar stack, schema-driven components, shared services, reviewable specifications and testing patterns are all there from the first feature, so the answer to those questions stays predictable as the application grows.