MendAIx fuses AI with low-code, transforming ideas into intelligent, future-ready apps. With machine learning and smart automation built directly into Mendix Studio Pro, teams can build faster, adapt instantly, and deliver solutions that anticipate what’s next.
Mendix 11 brings AI to every stage of loMaiaw‑code development from smart suggestions and LLM‑powered chat to building apps that can reason and act. Alongside AI, it delivers faster performance, stronger security, and greater flexibility, helping you create smarter, more robust applications in less time. Mendix 11 makes your work easier and your apps more intelligent.
Contents
- 1 How Mendix AI Guides Best‑Practice App Development?
- 2 Features of Mendix Artificial Intelligence
- 3 How AI Assist Helps in Key Areas
- 4 Harnessing MAIA in Mendix: From Start to Finish
- 5 Mendix AI Agents: Build Smart Apps, Fast
- 6 How They Work: Agent Builder & Smart Patterns
- 7 Real Use Cases
- 8 The Future of Low-Code Is Smarter with MendAIx
How Mendix AI Guides Best‑Practice App Development?
Despite careful training and code reviews, development teams often struggle to catch every hidden anti‑pattern , especially those introduced by newer team members that only become apparent after deployment. Enter the Maia Best Practice Recommender: an AI‑powered virtual co‑developer built into Mendix Studio Pro.
Maia continuously analyzes your app model in real time, flags potential anti‑patterns before they turn into real issues and offers actionable recommendations to fix them — sometimes even applying fixes automatically.
The result? Cleaner, more maintainable apps built faster, and teams that spend less time chasing hidden mistakes and more time innovating.
It offers three levels of intelligent assistance:
Detection — Scans your app model to spot issues and highlights the exact document or element where they occur.
Recommendation — Explains what the issue is, why it matters, and how to resolve it, supported by a detailed best practice guide with step‑by‑step instructions.
Auto‑fixing — Automatically applies the recommended best practice to correct the issue for you.
Features of Mendix Artificial Intelligence
Mendix AI Assist accelerates development by minimizing manual tasks and guiding users with best practice suggestions. It helps new developers learn faster while reducing errors through real-time validation and automated fixes.
The AI-driven support ensures higher model accuracy and more efficient workflows. Overall, it enhances app quality by enabling smarter logic and well-structured components.
How AI Assist Helps in Key Areas
1. Domain Model Creation
Suggests relevant entity names, attributes, and associations based on the app’s context to speed up modeling.
Automatically detects missing access rules or invalid data types and provides correction recommendations.
2. Logic Development (Microflows)
Recommends next microflow actions and can auto-generate logic from natural language descriptions.
Identifies inefficiencies and missing error handling, offering suggestions to improve flow quality.
3. Page Design (UI):
Helps select suitable widgets and suggests effective layout structures based on the bound data.
Recommends visibility rules and event triggers to create dynamic, interactive user interfaces.
4. Workflow Automation
Guides the creation of workflow steps by recommending user tasks, decision points, and data mappings.
Detects unassigned tasks, incomplete paths, and logic inconsistencies, providing alerts to ensure process accuracy.
Harnessing MAIA in Mendix: From Start to Finish
Kickstart your Mendix development with MAIA. This guide shows how to set up, configure, and harness its AI features for a smarter, smoother workflow.
Step 1: Setting Up MAIA
- Open your Mendix project in Studio Pro.
- Go to View > AI Assistant to open the MAIA panel.
- MAIA will start suggesting improvements as you build domain models, pages, and logic.
Step 2: Designing Rich Domain Models
Example: Employee Training Management
Define entities: Employee, TrainingSession, and Certificate.
MAIA Suggestions:
- Add attributes like TrainingDate and CertificateIssuedDate.
- Create a many-to-many association between Employee and TrainingSession so employees can attend multiple trainings.
- Automatically suggest enumeration for TrainingStatus (e.g., Scheduled, Completed, Cancelled).
Step 3: Automating Microflow Creation
Example: Approving Leave Requests
Prompt: Create a microflow to approve a leave request.
MAIA Suggestions:
- Add Change Object action to update LeaveRequest status to “Approved.”
- Send an automated email notification to the employee.
- Include validation to check for overlapping dates with existing leave.
Maia generates microflow logic from natural language descriptions in Mendix Studio Pro.
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Step 4: Streamlining UI Development
Example: Employee Profile Dashboard
Create a new page showing employee details.
MAIA Suggestions:
- Auto-generate data views for related training and certificates.
- Add charts showing training completion rates using widgets.
- Use tab containers to separate sections like “Personal Info,” “Trainings,” and “Certificates.”
Step 5: Validating and Optimizing Applications
Before going live, MAIA can
Detect missing default values in new attributes.
Recommend adding audit logging to sensitive changes.
Suggest combining multiple database retrieves into a single optimized query.
Mendix AI Agents: Build Smart Apps, Fast
AI Agents in Mendix work as intelligent in‑app assistants that can:
1. Chat naturally with users.
2. Run tasks from plain language commands.
3. Pull insights from documents and data.
All built and managed visually in Mendix’s low‑code platform — no heavy coding needed.
How They Work: Agent Builder & Smart Patterns
- Create effective AI prompts and responses.
- Add tools like microflows to automate logic.
- Connect agents to documents or live data sources.
You can further shape how your AI behaves by applying advanced patterns such as:
Prompt Chaining — Leading the AI through sequential tasks.
Gatekeeper—Checking and approving outputs before they’re used.
Routing — Directing specific tasks to specialized agents.
These patterns, combined with Mendix tools, help create AI that’s not only smarter but also consistent and reliable.
Real Use Cases
All these can be built faster using Mendix’s prebuilt, low‑code components.
- Chatbots — For HR, IT helpdesks, or customer support.
- Document Assistants — To summarize, extract, or categorize content.
- Email Processors — That auto‑reply or route messages based on intent.
- Smart Forms — That guide users through forms using natural language.
Integration & Control
Mendix supports:
OpenAI, AWS Bedrock, or custom LLMs.
RAG (Retrieval‑Augmented Generation) to leverage your own data.
Why It Matters for Business
- Faster delivery — build intelligent apps in days, not months.
- Cost‑effective — no need for large, specialized AI teams.
- Enterprise‑ready — secure, scalable, and easy to manage
What’s New & Coming
- AI Agent Kit — Now generally available (June 2025)
- GenAI Resource Packs — Simplify cloud scaling (July 2025)
- Mendix 11 — Packed with new AI‑first tools and features
The Future of Low-Code Is Smarter with MendAIx
As AI becomes central to modern development, Mendix 11 makes it practical and accessible at every stage. With tools like Maia for cleaner code, AI Agents for smarter interactions, and seamless LLM integration, teams can turn ideas into intelligent, enterprise-ready apps faster than ever.
It’s more than just speeding up development, it’s about building solutions that adapt, learn, and think ahead. Mendix keeps pushing AI forward, empowering businesses to innovate boldly and deliver real impact with less effort.
