Enterprise Ext JS teams have a backlog problem.
The databases are full. The data exists. The infrastructure is in place. What does not exist — or what exists in a form that no longer meets business needs — is the interface that surfaces that data to users.
Building Ext JS interfaces the traditional way takes time that development teams do not always have. AI is beginning to change this — specifically for enterprise Ext JS applications built on top of existing database infrastructure.
One session at JS Days 2026 covers this directly. Seats are limited. Register now at jsdays.io.
Seats are limited. Register now at jsdays.io.
The session
Generating Live Ext JS Apps From Existing Databases With AI
Speaker: Pavel Perminov, Solo Founder, Indi Engine AI
The session covers how AI analyzes existing database schemas and generates functional Ext JS components — data stores, grids, forms, charts, and layout structures — that surface existing data through modern Ext JS interfaces.
The workflow:
▪ AI analyzes existing database schema — table structures, column definitions, relationships, data types
▪ AI generates Ext JS component code — stores, grids, forms configured to surface the data correctly
▪ Development team reviews and customizes — verifying configurations, meeting UX requirements
▪ Integration and testing — connecting generated components to production database and verifying performance
This does not eliminate development work. It changes what that work is — from writing boilerplate to reviewing and customizing generated code that already provides a functional starting point.
Why Ext JS works well for AI generation
▪ Consistent component patterns that AI tools can learn and reproduce reliably
▪ Declarative configuration model that maps well to AI code generation
▪ Established data binding patterns through the Ext JS store model
▪ Integrated component ecosystem that eliminates dependency management in generated code
Why this session matters
Enterprise Ext JS teams with modernization backlogs consistently face the same constraint. More interfaces need building than development capacity allows. The traditional development approach cannot address the backlog at the speed the organization requires.
AI-assisted generation from existing database schemas changes the math. The development effort shifts from writing all component code manually to reviewing and customizing generated code that already works.
Seats Are Limited — Do Not Wait
JS Days 2026 — September 16–17, 2026 — Fully Virtual — Free
Register now at jsdays.io before your seat is gone
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