Modernizing Legacy Database Applications with AI and Ext JS

Many organizations continue to depend on database-driven applications that have served the business for years. While these systems often remain reliable, their user interfaces can feel outdated, making them difficult to maintain and less efficient for today’s users. Replacing them entirely is often expensive, time-consuming, and carries significant operational risk.

At JS Days 2026, Pavel Perminov, Solo Founder and Developer at Indi Engine AI, will demonstrate a practical alternative—using AI to generate modern Ext JS applications directly from existing databases while preserving the underlying database infrastructure.

Session Overview

Title: Generating Ext JS Apps on Top of Existing Databases with Indi Engine AI
Speaker: Pavel Perminov
Company: Indi Engine AI

This session explores how AI-assisted application generation can accelerate the modernization of legacy business systems without requiring organizations to redesign or migrate their existing databases.

By connecting directly to an existing database, Indi Engine AI generates a fully functional desktop-style Ext JS application that provides a modern user experience while continuing to operate on the organization’s current data model.

The Challenge of Legacy Modernization

Across industries, critical business processes continue to run on applications built many years ago. Although the underlying databases remain valuable and contain years of operational knowledge, the applications themselves often present several challenges:

• Outdated user interfaces
• Complex maintenance requirements
• High costs associated with complete system replacement
• Business disruption during migration projects
• Long development timelines for modernization initiatives

For many organizations, rebuilding these applications from scratch is difficult to justify when the existing database already meets business requirements.

A Low-Risk Modernization Approach

Rather than replacing the database or redesigning the data model, this session demonstrates how a modern Ext JS application can be generated directly on top of an existing database.

The generated application preserves the current database engine while providing users with a significantly improved interface, reducing the complexity and risk typically associated with modernization projects.

This approach enables organizations to improve usability without disrupting core business operations.

Inside the Generated Application

Attendees will see how Indi Engine AI automatically creates a rich desktop-style application with features commonly expected in enterprise software.

Capabilities include:

• Real-time multi-window user interface
• Data grids and forms generated from the existing schema
• Navigation based on foreign-key relationships
• Automatic hierarchy generation across related data
• Live synchronization using Change Data Capture (CDC) streams

These capabilities allow users to interact with complex business data through an interface that reflects the structure of the underlying database.

Customization Without Extensive Development

While the generated application provides a working foundation, organizations often need to tailor workflows to their specific business requirements.

The session demonstrates how the application can be further customized through a broad range of zero-code configuration options, enabling teams to adapt functionality without extensive manual development.

This combination of automated generation and configurable behavior provides flexibility while minimizing implementation effort.

What You’ll Learn

During this session, attendees will gain insights into:

• Connecting AI tools to existing relational databases
• Automatically generating enterprise Ext JS applications
• Creating desktop-style interfaces from database schemas
• Building hierarchical navigation using foreign-key relationships
• Leveraging Change Data Capture (CDC) for real-time updates
• Applying zero-code customization techniques
• Modernizing legacy systems without replacing existing databases

Who Should Attend

This session is ideal for:

• Ext JS developers
• Enterprise application developers
• Software architects
• Database administrators
• IT modernization teams
• Technical consultants
• Organizations maintaining legacy business applications

Why Attend

Modernizing legacy applications is often viewed as a major transformation project, but it doesn’t always require replacing proven systems or rebuilding years of business logic.

This session presents an alternative strategy that focuses on preserving existing database investments while automatically generating modern enterprise applications that improve usability and maintainability.

Whether you’re responsible for legacy modernization, enterprise software development, or database-driven business applications, you’ll gain practical insight into how AI-assisted application generation can help reduce risk while accelerating modernization efforts.

Join Pavel Perminov at JS Days 2026 to explore how existing databases can become the foundation for modern Ext JS applications through AI-powered generation and zero-code customization.