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Home/Tasks/Development/More & General/Legacy Modernization/GeneXus
GeneXus logo

GeneXus

4.4
Free
Users praise the platform's ability to maintain complex legacy systems and its rapid multi-platform generation, though some note a steep learning curve for the proprietary IDE.

The first AI-driven low-code platform that generates and maintains enterprise software automatically.

Low-Code Development PlatformFree pricingAPI availableUpdated 2026-04-01
Good for
Enterprise Web DevelopmentNative Mobile App Development
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  • About
  • Quick Summary
  • Visual Preview
  • Main Tasks
  • Decision Summary
  • Key Features
  • How it works
  • Quick Start
  • Pros & Cons
  • FAQ
  • Similar Tools
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Editorial Note

The first AI-driven low-code platform that generates and maintains enterprise software automatically.

About GeneXus

GeneXus is an enterprise-grade development platform that leverages symbolic AI and LLMs to automate the creation, evolution, and maintenance of software. Owned by Globant, GeneXus distinguishes itself by using a 'Knowledge Base' (KB) approach, where developers define business logic and data models in a platform-independent way. The GeneXus engine then automatically generates native code for multiple environments, including .NET, Java, Swift, and Android. As of 2026, the 'GeneXus Next' update has fully integrated Generative AI into the workflow, allowing architects to transform natural language requirements into functional back-ends and front-ends. This architecture ensures 'future-proofing,' as users can migrate their entire system to a new technology stack (e.g., from an older Java version to a future framework) simply by changing the generator settings rather than rewriting the codebase. Its market position is centered on high-scale enterprise applications where complexity and long-term maintenance are critical factors.

Quick Summary

The first AI-driven low-code platform that generates and maintains enterprise software automatically.

15-30 minutesSetup: advanced
AI Software Engineering
Product Release Intel
Data Freshness
Checked Apr 1, 2026
Visual Preview

Quick visual proof for GeneXus. Helps non-technical users understand the interface faster.

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Sources tracked: 6

Core Capabilities

GeneXus is an enterprise-grade development platform that leverages symbolic AI and LLMs to automate the creation, evolution, and maintenance of software.

Main Tasks

Legacy Modernization

Explore all tools that specialize in legacy modernization. This domain focus ensures GeneXus delivers optimized results for this specific requirement.

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Decision Summary

What this tool is best suited for

Best Fit
AI Software Engineering
Buying Signals
Paid
API available
Web-first workflow
Setup And Compliance
More involved
10 onboarding steps
GDPR, SOC2, ISO27001
Trust Signals
Pricing freshness unavailable
URL health not shown
Verification date unavailable
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Key Features

GeneXus Next (AI Assistant)

Uses LLMs to interpret natural language descriptions and automatically create GeneXus objects (Tables, Panels, APIs).

Automatic Database Reorganization

Synchronizes changes in the data model with the physical database structure without losing data.

Multi-Generator Engine

Generates source code for .NET, Java, iOS, and Android from the same logic model.

GAM (GeneXus Access Manager)

Integrated security module providing authentication and authorization (OAuth2, SAML, LDAP) out of the box.

SAP Connector

Certified connector that allows for rapid extension of SAP ERP systems using GeneXus.

Knowledge Base (KB) Versioning

Centralized repository (GXserver) that tracks every change in logic and architecture.

BPM Engine

Embedded Business Process Management engine for modeling and executing workflows.

Use Cases

Legacy ERP Modernization

An organization running a 20-year-old COBOL or RPG system needs to move to the cloud without losing business logic.

VIEW EXECUTION STEPS
1.

Reverse engineer the existing database into GeneXus.

2.

Refine the Knowledge Base (KB) to modern UI standards.

3.

Set generator to Java/AWS Cloud.

4.

Run reorganization and generate new web/mobile interface.

5.

Verify data integrity via automated tests.

SAP Extension Development

Building a custom mobile app that interacts with SAP S/4HANA without complex Fiori coding.

VIEW EXECUTION STEPS
1.

Import SAP BAPIs using the GeneXus SAP Connector.

2.

Model the mobile UI in GeneXus.

3.

Bind UI elements to SAP data objects.

4.

Generate native iOS/Android code.

5.

Deploy through SAP BTP (Business Technology Platform).

Rapid MVP with GeneXus Next

A startup needs to build a multi-platform app from a 10-page requirement document in two weeks.

VIEW EXECUTION STEPS
1.

Input the requirements text into GeneXus Next AI.

2.

Review the AI-generated data model and UI flow.

3.

Manually adjust complex business rules.

4.

Select .NET and Android generators.

5.

Build and deploy to the cloud for immediate testing.

Automated Omni-channel Banking

Consistent banking experience across web, mobile, and chatbot with shared security logic.

VIEW EXECUTION STEPS
1.

Define core banking logic in a central KB.

2.

Generate the web banking portal using .NET.

3.

Generate native mobile apps using Swift/Kotlin.

4.

Generate a Chatbot using the GeneXus Chatbot Generator.

5.

Apply GAM (Access Manager) across all channels for SSO.

High-Volume Data Processing

A logistics company needs to process millions of transactions per day via APIs.

VIEW EXECUTION STEPS
1.

Design the API layer in GeneXus using API Objects.

2.

Configure horizontal scaling in the cloud generator settings.

3.

Generate Java/Spring Boot code for high performance.

4.

Deploy to a Kubernetes cluster.

5.

Monitor performance using integrated OpenTelemetry.

Regulatory Compliance Reporting App

A healthcare provider needs a secure app that strictly adheres to HIPAA and GDPR.

VIEW EXECUTION STEPS
1.

Select the 'Security' template within GeneXus.

2.

Use GAM to enforce multi-factor authentication.

3.

Model data entities with encryption at rest enabled.

4.

Run the GeneXus Security Scanner to find vulnerabilities.

5.

Generate audit logs automatically through the BPM engine.

Dynamic Pricing Engine

A retail chain needs an engine that updates prices across 500 stores based on real-time inventory.

VIEW EXECUTION STEPS
1.

Connect GeneXus to the inventory SQL database.

2.

Create the pricing logic in the KB using Procedure objects.

3.

Expose the logic as a set of REST APIs.

4.

Generate client-side apps for store managers to review changes.

5.

Deploy to edge computing nodes for low latency.

Quick Start Guide

10 Phases
01

Install GeneXus IDE on a Windows-based environment or via cloud workstation.

02

Configure the Knowledge Base (KB) to define the project scope.

03

Define the Data Model using 'Transactions' to automatically create the database schema.

04

Use GeneXus Next to input natural language requirements for initial module generation.

05

Apply Design Systems (Unanimo) to maintain UI/UX consistency across platforms.

06

Configure Environment settings for target language (e.g., .NET Core or Java).

07

Define Business Process Management (BPM) flows using the integrated BPD modeler.

08

Build and Reorganize to let the AI engine generate the database and application code.

09

Test locally using the built-in emulator and cloud prototyping tool.

10

Deploy to production environments (AWS, Azure, or On-premise) using the Deployment Unit tool.

All Set

Ready to go

Pros

  • Absolute future-proofing (Technology independence)
  • Automated database management is best-in-class
  • Strong integration with SAP ecosystem
  • Generates native code, not hybrid web-wrappers

Cons

  • IDE is Windows-only for many configurations
  • Proprietary language (GeneXus DSL) requires training
  • Licensing cost is high for small startups

Frequently Asked Questions

Does GeneXus generate real source code?
Yes, GeneXus generates high-quality, readable source code in languages like C#, Java, Swift, and Kotlin, which can then be compiled and deployed on standard servers.
Is it possible to integrate GeneXus with existing databases?
Yes, GeneXus can reverse engineer existing schemas from SQL Server, Oracle, MySQL, PostgreSQL, and more, allowing you to build on top of legacy data.
Can I use GeneXus for offline mobile apps?
Yes, GeneXus has native support for offline data synchronization, allowing apps to work without an internet connection and sync once back online.
What is GeneXus Next?
GeneXus Next is the latest evolution of the platform that incorporates Generative AI to assist in creating models and code from natural language prompts.
Does GeneXus support cloud-native deployment?
Yes, it supports one-click deployment to Docker containers, Kubernetes, and serverless environments like AWS Lambda or Azure Functions.

Reviews & Ratings

Verified feedback from other users.

AI Verdict

“Users praise the platform's ability to maintain complex legacy systems and its rapid multi-platform generation, though some note a steep learning curve for the proprietary IDE.”

★★★★★
4.4 / 5.0

Reviews

No reviews yet. Be the first to rate this tool.

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0/500

PricingView Page

Trial / Community

Free

Starter

$200

Professional

$850

Specs

Security
SSOGDPRSOC2ISO27001HIPAA
I/O
textYAMLSQL SchemaBPMN DiagramsFigma DesignsJava Source Code.NET C# Source CodeSwift (iOS)Kotlin (Android)RESTful APIs

Core Tasks

  • Enterprise Web Development
  • Native Mobile App Development
  • Legacy System Modernization
  • Automated Database Refactoring
  • API Orchestration

Data Interface

Analytics

Monthly Visits250000
Global RankN/A
Bounce Rate35.5%
Top Users
BrazilUruguayMexico
Refined: 2026-04-01

Target Personas

AI Software Engineering

Categories

No-codeEnterprise MobilityLegacy ModernizationCode GeneratorMulti-experience

Use GeneXus For

Legacy Modernization

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Input
textYAMLSQL SchemaBPMN DiagramsFigma Designs
Output
Java Source Code.NET C# Source CodeSwift (iOS)Kotlin (Android)RESTful APIs