How GenAI-Infused Smart Apps in Mendix 10.8 Are Transforming Context-Aware Development

Nezar Lourens

Cloud & DevOps Engineering Leader

As a recruiter deeply embedded in the world of low-code development, especially platforms like Mendix and OutSystems, I’ve seen firsthand how rapidly the landscape is evolving. But the latest release, Mendix 10.8, is more than just an update. It’s a game-changer.

Mendix has officially entered the GenAI era, bringing native capabilities like RAG (Retrieval-Augmented Generation) and prompt engineering into the heart of application development. This is not just exciting from a tech perspective, it’s transformational for developers, businesses and hiring.

What’s New in Mendix 10.8?

Mendix 10.8 introduces native tools that enable the creation of intelligent, context-aware applications. These features aren’t just about bolting on a chatbot, they allow developers to build applications that understand user intent, pull from dynamic sets and respond with human-like contextual awareness.

Key features include:

Native GenAI Components: Easily integrate with LLMs (like OpenAI) using Mendix’s low-code interface.
Prompt Engineering Support: Fine-tune interactions with AI by crafting targeting prompts within the development environment.
RAG (Retrieval-Augmented Generation): Fuse AI models with real-time business data for responses that are not only fluent but
Prebuilt AI Widgets & Actions: Developers can drag-and-drop GenAI capabilities like summarization, classifications or conversational interfaces.

What This Means for Businesses

For companies building on Mendix, this means faster go-to-market for smarter apps; customer service tools that truly “get” the customer, internal apps that help employees make better decisions, or field apps that respond to real-world conditions dynamically.

AI isn’t a sidecar anymore; it’s becoming a core capability of the Mendix platform.

What This Means for Developers

For Mendix Developers, this is a massive opportunity.

Low-code professionals now have the tools to bridge the AI gap, no need to become a full-blown data scientist to start building intelligent solutions. And those who embrace this shift will become hugely valuable assets to any organization.

Skills like:

Understanding prompt design
Integrating AI flows into business logic
Building feedback loops for AI improvement

… are going to be in very high demand.

And What This Means for Hiring

As someone who recruits exclusively in this space, I’m already seeing a clear signal: companies want developers who can work with AI.

We’re entering an age where “Mendix Developer” is no longer just about workflows and UIs. It’s about building applications that think.

So, if you’re a Mendix or OutSystems developer, now is the time to upskill in GenAI. And if you’re a hiring manager, make sure you’re looking for candidates who are ready for this next wave, because it’s already here.