Basic Concepts

What is GeneXus?

GeneXus is an AI-powered Low-Code development platform, created by GeneXus (a Globant company), that generates and evolves mission-critical enterprise software from a technology-independent Knowledge Base. For over 35 years, GeneXus has been dedicated to simplifying software development: you model what your business needs, and GeneXus generates the code deterministically, for every technology it supports.

GeneXus is powered by Glob.AI OS, the operational platform for autonomous, governable AI systems, built to execute, validate, and evolve continuously.

What problem does GeneXus solve and how?

Software development has become more complex over time. While applications are easier to use, creating and maintaining them requires extensive expertise and constant adaptation to new technologies. GeneXus reduces this complexity by automating everything possible, so you can focus on meeting your business needs instead of worrying about the technical details.

GeneXus combines the best of two approaches:
 

• Symbolic AI and deterministic code generation: rules, relationships, and structures represented logically in a Knowledge Base, from which GeneXus generates consistent, repeatable code.
• Generative AI agents and assistants that make modeling, creating, and evolving applications faster and easier, using natural language.

This combination – generative AI to capture intention, symbolic AI to govern, validate, and generate – is what GeneXus calls a neuro-symbolic architecture. Mission-critical system generation always remains under the control of deterministic code generators: the code generated is never a different probabilistic occurrence on each interaction.

Additionally, GeneXus is designed for technological sustainability. By using technology-independent models and a knowledge-based architecture, applications created with GeneXus can adopt new platforms, languages, and paradigms without costly rewrites. In a world where innovation is constant, GeneXus protects your investment, keeping your business future-ready.

What is a Knowledge Base (KB)?

A Knowledge Base (KB) is the core of every GeneXus project: a technology-independent, versionable model that stores everything the system knows – data structures, business rules, processes, relationships, and design decisions. From the Knowledge Base, GeneXus generates complete applications (database to front end) for multiple platforms. Because the knowledge lives in the KB and not in the generated code, the same system can evolve across technologies while the business knowledge survives every change.

Why automate?

Every industry has asked this question since the invention of the steam engine: Why automate? Time and again, automating manual tasks has boosted productivity, improved quality, and democratized access. So why should creating applications be any different? It shouldn't! GeneXus brings the power of automation to software development, enabling you to create faster, with fewer errors, and at greater scale. Once a niche idea, the generative AI revolution has made this vision clear: the future of software development is automated code generation.

What kind of applications can be made with GeneXus?

We like to say: "Mission-Critical Applications." Whether it's Core Banking, ERPs, or CRMs, GeneXus applications are designed to handle the essential information, processes, and technologies that keep your business running smoothly. With the incorporation of GenAI into our generated systems, we can now also create "Intelligent Enterprise Systems."
 

Technical Capabilities

Is GeneXus Model-Driven Development (MDD)?

Yes and no. It's our own interpretation of MDD! With GeneXus, you describe what you need, and we handle the "how." This means less coding, fewer errors (thanks to deterministic generation), and easier integration with any technology, whether old, new, or even future technologies.

What does "capturing reality" mean?

It means understanding how your business operates and translating that into a model of the desired software. We capture your business's unique strengths and processes into a model, and from there, GeneXus generates the corresponding application.

Does GeneXus really generate applications automatically?

Yes! GeneXus automatically generates everything from databases to front-end applications, millions of lines of code, with no manual coding required. And because generation is deterministic, the same model always produces the same code – it's like magic, but auditable.

How does GeneXus handle legacy systems?

We love legacy systems! GeneXus seamlessly integrates with your existing systems, modernizing what's needed while keeping everything running smoothly, no full rebuilds required. Because GeneXus captures knowledge, not just code, it can carry your systems toward new technologies without rewriting them.

Is software generated with GeneXus secure?

Security in GeneXus is a factory warranty, not a third-party patch. The platform protects logic, validations, and data from its core: security is built into the deterministic generation process itself, instead of depending on external integrations added after the fact. That also reduces the audit and governance cost that grows quickly when every line of code is generated probabilistically.
 

GeneXus for Agents

What is GeneXus for Agents?

GeneXus for Agents is the agentic layer of GeneXus: a set of skills, tools, and interfaces that lets AI agents understand and operate on GeneXus Knowledge Bases with full context and enterprise-grade control. Agents can explore, create, and modify Knowledge Base objects, propose changes, and generate applications – while the GeneXus deterministic engine validates every change, runs impact analysis, and generates the code.

What are the components of GeneXus for Agents?

GeneXus for Agents has three main components:
 

• GeneXus Skills: packaged knowledge that teaches an agent GeneXus concepts and practices.
• The CLI: a command-line interface for operating on the Knowledge Base from any terminal or automated process.
• The GeneXus MCP Server: exposes the Knowledge Base to any agent that supports the Model Context Protocol (MCP), through a textual representation an LLM can read and reason about.

Which AI agents work with GeneXus for Agents?

GeneXus for Agents works with AI agents that support the Model Context Protocol (MCP). The officially supported agents today are CODA, Claude Code, and OpenAI Codex.

How is GeneXus for Agents different from a coding agent?

Most AI coding tools generate code from prompts alone. That approach has structural limits: prompts don't know the system's real data model, generation is probabilistic (the same prompt produces different code each time), consistency depends on whoever writes the prompt, and validation costs grow until they cancel out the speed gains.

GeneXus for Agents works differently: agents operate on your Knowledge Base – the single source of truth for your system – while GeneXus validates every change and generates code deterministically. The AI proposes, GeneXus validates. The result is faster iteration without losing consistency, maintainability, or control.

Why start from knowledge instead of generating code directly?

Most of the industry is trying to reconstruct context around existing code: coding agents, persistent context files, knowledge graphs, spec-driven development, and similar approaches all exist to give AI agents something stable to reason about.

GeneXus has always taken the opposite path: instead of rebuilding knowledge from software, it generates software from knowledge that lives in the Knowledge Base first. GeneXus for Agents extends that same idea to agents, so what an agent changes today stays understandable and valid tomorrow, even as the underlying AI models and tools change.

What is a neuro-symbolic architecture, and why does it matter?

A neuro-symbolic architecture combines generative AI (to capture intention, explore alternatives, and navigate ambiguity) with a symbolic, deterministic layer (to govern, validate, and generate systems reliably). GeneXus applies it directly: generative agents work over a governed Knowledge Base, and deterministic generators produce the code. This matters because in enterprise software the bottleneck has shifted – generating code is cheap; verifying it is expensive. A neuro-symbolic approach reduces that verification cost, which a purely generative strategy makes larger and harder to govern at scale.

Do I need to install anything new to use GeneXus for Agents?

If you already use GeneXus, you don't need to reinstall anything: GeneXus for Agents adds the CLI and the GeneXus MCP Server to your current way of working, so your agents can access your Knowledge Base. A Quick Start guide and installation instructions are available in the official documentation.

Does GeneXus for Agents cost extra?

No. GeneXus for Agents comes at no additional cost for GeneXus customers.
 

Working with AI

Will AI (or Low-Code) replace developers?

No. AI shifts what developers do rather than replacing them: from writing every implementation detail to defining problems, structuring knowledge, and designing the loops through which agents propose and systems validate. In GeneXus terms, people focus on the "What" – what the business needs, why, and under which rules – while the platform and its agents handle the "How." The more capable AI becomes at answering, the more valuable the people who know what to ask.

Why not just use prompts to build software?

Prompt-based development works for small, disposable software, but it hits structural limits in enterprise systems: isolated prompts don't know your data model or your past architectural decisions; language models generate code probabilistically, so the same request yields different results; and the validation burden lands on humans, neutralizing the speed gains.

Enterprise software needs a memory that outlives the conversation. That's why GeneXus turns conversations into structured, versionable knowledge in a Knowledge Base – and generates code deterministically from there. The conversation is the interface; the knowledge is the source of truth.

What does "modeling intent" mean?

It means starting even before the "What": a person begins with a problem – completing a task, changing a business rule, reducing a risk. Natural language lets you start near that intention, and GeneXus progressively converts the conversation into a formal, versioned model of knowledge: typed, verifiable facts instead of interpretable prose. The code is one projection of that model. This is the direction of the new GeneXus: capture intent, formalize it as knowledge, and derive software from it – reliably and repeatably.
 

Competitive Position and Market

Do you have competitors?

Yes, we've had many competitors, but most didn't withstand the test of time and evolving technology. While there are other Low-Code platforms, none match GeneXus's unique combination of flexibility, seamless integration, and future-proofing capabilities.

How does GeneXus compare to other Low-Code platforms?

GeneXus excels in flexibility, AI-powered automation, multiplatform support, and a wide selection of developer-friendly technologies. Its unique ability to generate fully functional applications in multiple languages from a single model sets it apart.

Moreover, GeneXus ensures your applications evolve effortlessly with technological advancements, eliminating the need for time-consuming manual updates.

Unlike many competitors, GeneXus-generated applications are technology-agnostic, making them highly adaptable to ever-changing business requirements.

How does GeneXus compare to AI coding agents?

They solve different problems, and they combine well. Coding agents are excellent when the problem is producing code quickly in a repository you control. GeneXus's strength appears when the problem is building, maintaining, and evolving enterprise systems over years: it generates from a governed Knowledge Base, deterministically, with built-in impact analysis and validation. And with GeneXus for Agents, the two approaches work together – coding agents like CODA, Claude Code, or OpenAI Codex operate directly on the GeneXus Knowledge Base. It's not substitution; it's combination.

Does GeneXus lock me into a vendor or technology?

The opposite: technology independence is the founding principle of GeneXus. Your system's knowledge lives in a technology-independent Knowledge Base, and GeneXus generates code from it for multiple languages, databases, and platforms – with new generators added as technologies emerge. If a technology changes, you regenerate; the knowledge survives. Your investment is in the model, not in any single stack, AI model, or tool.

Why should you use GeneXus?

GeneXus streamlines application development and maintenance, delivering faster results with less technical effort. Its automation, adaptability, and future-proof design provide lasting value, helping your business stay ahead in an ever-evolving tech landscape.

What are you best at?

GeneXus is best at simplifying the creation of complex, mission-critical applications. Its automation, AI integration, and multiplatform capabilities make it ideal for enterprise projects. If your goal is to modernize systems while safeguarding your enterprise data, GeneXus is the perfect solution.

If it's so good, why doesn't everyone use it yet?

Over the past 35 years, GeneXus has become a leader in LatAm and Asia, with over 1,800 active clients across 50+ countries. In 2022, we joined Globant, giving us the strategic partnership we needed to accelerate growth. Today, we're expanding into new markets at an unprecedented pace. Don't let your competitors adopt GeneXus before you do!

How can I get started with GeneXus?

Choose your starting point: if you're new to GeneXus, talk to our team. If you already use GeneXus, the fastest way to experience the new way of working is GeneXus for Agents – follow the Quick Start in the official documentation and connect your first agent to your Knowledge Base.

GeneXus, Globant, and Glob.AI OS

What is Glob.AI OS and how does it relate to GeneXus?

Glob.AI OS is the operational platform for autonomous, governable AI systems – built to execute, validate, and evolve continuously. GeneXus is powered by Glob.AI OS: it provides the operational foundation (execution, validation, governance) on which GeneXus's agentic capabilities run at enterprise scale.

How does being part of Globant impact GeneXus?

GeneXus joined Globant in 2022. This partnership brings us more resources, a broader reach, and the backing of a tech leader, all while preserving our independence and unique culture. Globant helps us grow and innovate while staying true to our mission of simplifying software development and ensuring businesses stay future-ready, much like Disney's acquisition of Pixar.

Is there any change in GeneXus now that it's part of Globant?

While GeneXus is now "GeneXus, a Globant Company," it continues to operate independently within the Globant ecosystem, maintaining its own partner network and commercial strategy. The platform remains focused on simplifying software development and ensuring future-proof solutions, with the added benefit of tapping into Globant's expertise in AI and product innovation.

Is GeneXus still the same platform after joining Globant?

Yes, GeneXus remains true to its core mission and operates independently, even as part of Globant. The platform continues to evolve and improve, staying committed to simplifying software development and delivering future-proof solutions.

I couldn't find the answer I was looking for. What should I do?

It depends! For technical details, check out our Documentation site. If you want to learn or specialize in specific topics, explore our Training site, where you'll find a wide range of courses and certifications. Still have questions? Leave us a message here, we're happy to help.