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Nebula PLUS AI Coding Application Platform

Guide AI development.
Build your business foundation.

For enterprise IT and engineering teams. AI Coding generates React pages and Java APIs. Low-code opens, refines and saves the source. The platform connects requirements, development, testing, release and operations so applications keep evolving.

See the Application Workflow

FOR ENTERPRISE IT & ENGINEERING TEAMS

FROM DEVELOPMENT TO DELIVERY

One platform. Two ways to build.

AI CodingDevelopment speed
Low-codePrecise refinement
Collaborate through source code
React pagesJava APIs

Generate · Refine · Save · Iterate

Platform · Coordination

Project graph · Versions · Testing · Release · Operations

FOUR ENTERPRISE CHALLENGES

Build Faster. Keep Delivery Under Control.

Business foundation

Digital foundations need to catch up

Business systems, data and processes need to be ready for AI to work in real operations.

Development control

Powerful AI needs clear direction

Generated features must fit the business and remain adjustable, testable and maintainable.

Legacy systems

Maintenance is hard. Rebuilds are costly.

Aging architectures add maintenance work, while rebuilding brings cost, time and operational risk.

Demand & capacity

More requests. Limited engineering capacity.

Long development cycles make it difficult to validate new business ideas quickly.

TWO WAYS TO BUILD, WORKING TOGETHER

AI Builds Quickly. Low-code Refines Precisely.

AI Coding generates source. Low-code opens it for visual refinement, then saves it back as source. Both remain part of the next iteration, with the team in control of speed and detail.

Source collaboration diagramShared source. Continuous collaboration.
Generate functionality

AI Coding

Develop with business requirements and project context.

Generate sourceKeep iterating
SHARED DEVELOPMENT ASSETS
ReactFrontend page source
JavaBackend API source
Open & refineSave as source
Refine the details

Low-code

Open source visually, adjust it and save it back.

Coordinated by Nebula PLUS
  • Project graph
  • Versions
  • Validation
  • Deployment
  • Operations
Move between source and low-code to combine development speed with precise refinement.

PRIMARY SCENARIO · NEW ENTERPRISE APPLICATIONS

From a Business Requirement to an Application That Keeps Evolving

Organize requirements, resources and tasks. Build with AI, refine with low-code, then validate, release and improve with your team.

Application development workflowReact · Java
  1. Define

    Give development a business context

    Connect requirements, features, resources and tasks in the project graph, with dependencies and development standards.

    Clear project context
  2. Generate

    AI Coding develops the source

    Create React frontend pages and Java backend APIs around the business requirement.

    Page and API source
  3. Refine

    Open source in low-code

    Visually refine pages and APIs, make precise adjustments and save the result as source.

    Source ready for iteration
  4. Validate

    Inspect calls and locate issues

    Trace pages, APIs and data calls. Inspect timing, variables and errors to check functionality.

    Inspectable results
  5. Release

    Deliver and keep improving

    Manage versions and releases, then improve the application using operational and business feedback.

    Operations and maintenance

Cross-system collaboration

Connect existing data and APIs, then build pages and features for work across systems.

Validate new business ideas

Generate initial functionality with AI, refine it with low-code and iterate on business feedback.

REUSABLE ENTERPRISE CAPABILITIES

Reuse the Fundamentals. Focus on Your Business.

Bring common enterprise capabilities into your application alongside pages and APIs, reducing repeated development.

User permissions

Organize access and action permissions within the application.

Workflows

Bring approval rules and role-based collaboration into business processes.

BI reports

Organize data, metrics and charts for business analysis.

Scheduled tasks

Manage background job schedules, execution states and exceptions.

Data synchronization

Connect systems with data mapping, synchronization and execution records.

GRADUAL LEGACY MODERNIZATION

Meet New Needs First. Modernize Step by Step.

Connect legacy databases and APIs, extend functionality to meet current needs, then gradually migrate features to modernize the system.

  1. Connect resources

    Existing databases and APIs

  2. Extend features

    Meet current business needs

  3. Migrate gradually

    Move features in stages

  4. Keep improving

    Modernize the application

Let business needs guide each step, connecting new functionality with gradual modernization.

ENGINEERING & DELIVERY MANAGEMENT

See How It Works. Manage What Comes Next.

Connect debugging, versions, releases and operations so AI-generated results become part of your team's delivery process.

End-to-end debugging

Trace from the page to the API

Connect page events, backend APIs, databases and external calls. Inspect timing, variable snapshots and errors.

  • Call traces
  • Variables
  • Issue diagnosis
Versions & releases

Choose a delivery path for the project

Manage project versions with one-click run, one-click publishing, offline release and source delivery.

  • Version management
  • Deployment
  • Source delivery
Ongoing operations

Turn operational feedback into improvements

Review runtime information, logs and alerts. Track issues and keep improving the application.

  • Monitoring
  • Logs & alerts
  • Issue tracking

FAQ

Questions You May Have

Learn more about development, system extension and delivery.

How do AI Coding and low-code work together?

AI Coding generates source. Low-code opens and refines it, then saves it back as source. Both support further iterations, coordinated by the platform.

What does bidirectional conversion cover?

React frontend pages and Java backend APIs. Source generated by AI Coding can be visually refined with low-code, then saved as source for further development.

Can it modernize legacy systems?

Connect legacy databases and APIs, add features to meet current needs, then gradually migrate functionality as the business requires.

How are the platform and applications deployed?

The development platform supports private deployment, and built applications support independent deployment and operation. Environment, dependencies and delivery details are established during project assessment.

How are databases selected?

The platform uses PostgreSQL. Application databases are selected around the project architecture, including domestic database options where appropriate. Compatibility is assessed for the project.

How does it work with the AI System Connector?

The development platform builds and extends business capabilities. The AI System Connector makes published and authorized capabilities available to AI work entry points.

START YOUR NEXT PROJECT

Start With Your Next Enterprise Application

Explore how AI Coding and low-code can work together to develop pages, APIs and application delivery around your business needs.

Already have business capabilities to connect to AI?Explore the AI System Connector