Enterprise-Grade Technology Stacks

AppWithAI generates complete, production-ready applications in your choice of two enterprise-grade technology stacks.

Choose Your Technology Stack

Both stacks include complete database migration scripts, RBAC tables, application dictionary, RESTful APIs, and admin interface.

Most Popular

Modern Web Stack

Ideal for SaaS products, internal tools, customer portals, and modern business applications.

Frontend Next.js 14+ with React 18+
UI Components Shadcn UI + TailwindCSS
Data Tables TanStack Table
Smart Forms TanStack Form
API Caching TanStack Query
Backend NestJS 10+ with Fastify
Database ORM Knex.js
Database PostgreSQL

Why This Stack?

  • ✓ Industry-standard React framework with SSR
  • ✓ Professional, accessible component library
  • ✓ High-performance, fully dynamic data grids
  • ✓ Complex form management with validation
  • ✓ Intelligent data synchronization and caching
  • ✓ Enterprise Node.js framework with DI
  • ✓ Flexible SQL query builder
  • ✓ Enterprise-grade relational database
Enterprise Ready

Enterprise SAP-Style Stack

Ideal for SAP-adjacent environments or OData-compliant services for enterprise integration.

Frontend OpenUI5
Layout Pattern Flexible Column Layout (FCL)
API Protocol OData V4
Backend OData V4 Server
Integration $metadata EDMX
Database PostgreSQL

Why This Stack?

  • ✓ SAP's enterprise UI framework — battle-tested
  • ✓ Three-column master-detail navigation
  • ✓ Enterprise data access standard
  • ✓ Filtering, sorting, and relationships built-in
  • ✓ Standards-compliant OData endpoint
  • ✓ Automatic metadata-driven UI binding
  • ✓ Perfect for SAP ecosystem integration
  • ✓ Enterprise-grade relational database

Enterprise-Grade Architecture

The Application Dictionary pattern — proven over decades in enterprise ERP systems.

📐 The Application Dictionary Pattern

Inspired by Compiere and iDempiere — open-source ERP platforms used by thousands of enterprises worldwide. This architectural approach has been refined over 20+ years.

Key Insight:

When your application's behavior is driven by metadata rather than hardcoded logic, change becomes effortless.

Dictionary Tables
  • • sys_table — All data tables
  • • sys_column — Every field definition
  • • sys_window — Application screens
  • • sys_tab — Screen sections/tabs
  • • sys_field — Form field configurations
  • • sys_reference — Dropdown lists & lookups
  • • sys_val_rule — Validation rules

🏗️ Generated Application Structure

What's Included:

  • ✓ Complete database migration scripts
  • ✓ Role-Based Access Control (RBAC) tables
  • ✓ Application Dictionary (sys_ metadata)
  • ✓ Business entity tables (bus_ prefix)
  • ✓ RESTful/OData API endpoints
  • ✓ Admin interface for runtime UI config
  • ✓ AI Natural Language data access (optional)
Every Generated Form Satisfies:
  • ✓ UUID primary keys (globally unique)
  • ✓ Foreign key relationships enforced
  • ✓ Optimistic concurrency control
  • ✓ Soft deletes for historical records
  • ✓ Access level security on every table/field
  • ✓ Row-level security filters
  • ✓ Complete audit trails

Built to Scale

Generated applications are built on proven, horizontally scalable technologies.

🗄️

PostgreSQL

Supports millions of records, row-level locking, full ACID compliance, and proven in the world's largest enterprises.

⚡

NestJS / OData

High-throughput API serving handles thousands of concurrent requests with enterprise-grade dependency injection.

🚀

Next.js / OpenUI5

Fast initial load with server-side rendering, SEO-friendly, CDN-deployable, and optimized for performance.

Deployment Flexibility

Generated applications are standard, portable codebases with no vendor lock-in:

  • ☁️ Deploy on any cloud provider (AWS, Azure, GCP)
  • 🏢 Deploy on-premise in your own data center
  • 🐳 Containerized with Docker for consistency
  • 🔓 You own the generated code entirely

Why AppWithAI Is Different

See how AppWithAI compares to generic low-code platforms and custom development.

Feature AppWithAI Generic Low-Code Custom Development
AI-generated data model ✓ ✗ ✗
Natural language description ✓ Limited ✗
Human-in-the-loop review ✓ N/A ✓
Application Dictionary pattern ✓ Rarely Varies
Runtime form customization ✓ Sometimes Rarely
AI natural language query ✓ ✗ ✗
Ownership of generated code Full No Full
No vendor lock-in ✓ ✗ ✓
Enterprise RBAC built-in ✓ Partial Varies
Multi-level approval workflow ✓ Sometimes Custom
Choice of technology stack 2 stacks Limited Full

Supported Business Domains

AppWithAI generates applications across a wide range of business functions.

💰

Finance & Accounting

Purchase Orders, Invoice Processing, Expense Claims, Budget Requests

👥

Human Resources

Leave Requests, Onboarding Workflows, Performance Reviews, Training

🔧

Operations

Work Orders, Maintenance Requests, Inventory Management, Asset Tracking

💼

Sales

Quotes, Customer Contracts, Commission Calculations, Sales Reports

🛒

Procurement

Vendor Registration, RFQ Management, Contracts, Vendor Scorecards

✅

Compliance

Policy Acknowledgements, Incident Reports, Audit Findings, Risk Registers

Which Stack Is Right for You?

Schedule a consultation to discuss your requirements and get a personalized recommendation.

Talk to Our Experts