Ľuboš Petrovič

AI-Native Enterprise Platforms: Interpreting Logic, Not Compiling Code

What if your business process model was the application? This platform interprets visual workflows directly, skipping the entire code, compile, and deploy cycle.

AI-Native Enterprise Platforms: Interpreting Logic, Not Compiling Code
#1about 2 minutes

Introducing object-centric processes for application development

The Netgrif low-code platform combines process modeling with object-oriented programming to give objects a life cycle.

#2about 3 minutes

How low-code unifies analysis and development

Unlike traditional development, this approach uses a graphical model as the directly executable application source code.

#3about 1 minute

Understanding the process-driven programming development cycle

Applications are built graphically, exported as an XML source file, and then uploaded to a running web application engine.

#4about 4 minutes

Creating a request workflow using no-code tools

A practical example shows how to build a multi-step request process by creating workflows, forms, and data layers with drag-and-drop.

#5about 3 minutes

Defining user roles and adding low-code functions

User roles are assigned to specific tasks for access control, while low-code functions add conditional logic based on events.

#6about 1 minute

Integrating rich code with Java and ChatGPT

Low-code applications can be extended by calling custom Java functions or external web services like the ChatGPT API.

#7about 5 minutes

Deploying and demonstrating the live application

The application is deployed by uploading its XML source file, and a live demo shows the user journey through the request process.

#8about 2 minutes

Exploring platform use cases and benefits

The platform combines eForms, task management, and BPM solutions to create comprehensive enterprise applications with custom dashboards.

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