AI app builder for IFS
An AI app builder for IFS turns a plain-language description into a complete, IFS-connected application — interface, APIs and business logic. In the Ngage Suite, that is NgageCode: vibe coding for IFS.
- AI app building turns plain language into working IFS apps.
- Correctness depends on real IFS APIs and data-model validation.
- NgageCode is the Ngage Suite product for building IFS apps with AI.
From description to working IFS app
Every IFS programme accumulates a backlog of custom forms, reports, integrations and gap-fillers that take weeks or months to build. An AI app builder collapses that: describe what you need, and get a full-stack application wired to IFS.
The catch is correctness — generated code has to use real IFS APIs and respect the data model. Generic AI coding tools do not know IFS.
How NgageCode delivers it
NgageCode generates full-stack applications for IFS Cloud — front end, APIs and business logic — validated against IFS so they actually work. Close functional gaps and build vertical accelerators in days, not quarters.
- Describe an app; get IFS-connected code
- Full-stack: UI, APIs and business logic
- Validated for IFS API accuracy and data-model compliance
- Custom forms, reports, integrations and accelerators
Frequently asked questions
What is vibe coding for IFS?
Describing the app, report or integration you want in plain language and having AI generate the full, IFS-connected build — what NgageCode does.
Is the generated code accurate for IFS?
Output is validated for IFS API accuracy and data-model compliance before it ships.
More AI capabilities for IFS
See the Ngage Suite on your IFS
Book a 15-minute demo against a real IFS scenario, or start an early pilot now.