Migrate Mendix applications to modern code.
LowCode Migrate turns a Mendix project into accepted architecture, data mappings, generated code, and validation artifacts inside a tenant workspace for a controlled move to Next.js and PostgreSQL.
Mendix Source
Data Mapping
Domains
Generated Code
Validation
import { NextResponse } from "next/server";
import { customerService } from "@/domains/customers";
export async function POST(req: Request) {
const input = await req.json();
const customer = await customerService.create(input);
return NextResponse.json(customer, { status: 201 });
}Build
Success
Tests
312 passed
Type Check
No errors
Overall
Ready
Complete coverage of the migration surface
The platform should treat every accepted output as a reviewed migration artifact, not a one-time prompt response.
Domain model
Entities, attributes, associations, indexes, enumerations
PostgreSQL DDL, Prisma models, mapping candidates
Business logic
Microflows, nanoflows, validations, callers, callees
Services, API routes, workflows, testable logic paths
Data migration
Source tables, target schema, transforms, dependencies
Mapping plan, staging SQL, validation checks, rollback
Integrations
REST, SOAP, OData, business events, constants
Typed clients, webhooks, runtime configuration
User experience
Pages, widgets, layouts, snippets, screenshots
Next.js App Router pages and React components
Security
Roles, permissions, constraints, navigation profiles
RBAC middleware, page guards, API authorization
A controlled migration workflow
Each stage creates something your team can review, refine, accept, and reuse.
Self-Serve
Create a tenant workspace and invite the migration team.
Discover
Read the Mendix project and runtime context.
Map
Align source entities and data to the accepted target model.
Design
Accept data, domain, logic, security, and UI architecture.
Generate
Export docs, POC code, or Claude Code build instructions.
Validate
Run checks for schema, behavior, data parity, and handoff.
Add self-serve above the migration engine
Multi-tenancy becomes the commercial layer when customers can create their own workspace, bring credentials, run analysis, invite reviewers, and export deliverables without operator setup.
Tenant workspaces
Each customer gets an isolated organization with projects, uploads, settings, and accepted artifacts scoped to that tenant.
Team onboarding
Admins invite architects, reviewers, and delivery engineers with roles for upload, review, accept, export, and billing actions.
Customer-owned credentials
Tenants can bring their own AI keys, source connections, database credentials, and environment configuration.
Plans and quotas
Self-serve plans can limit projects, storage, AI usage, exports, retention windows, and concurrent analysis jobs.
What is still missing for full project migration
The current app has a strong migration workbench foundation. The next refactors should make extraction deeper, mappings persistent, and validation executable.
- Association, access-rule, index, and enumeration extraction should be expanded beyond the current fast entity catalog.
- Data migration mappings should become saved, editable, accepted, and exported artifacts.
- Runtime data discovery should use OQL or source DB inspection for counts, samples, null rates, and reconciliation.
- Java actions, constants, OData, workflows, snippets, layouts, and project settings need first-class extraction.
- The app needs checked-in bootstrap SQL or migrations for its own Postgres tables.
Ready to inspect a Mendix project?
Start with an `.mpr` file or a zipped project, then review the migration artifacts stage by stage.