Everyone can take
advantage of generative AI
Mendix’s and AWS’s AI capabilities were on full display at CES 2024.
Harness low-code and
AI to elevate efficiency
Elevate your development strategy and unlock growth potential. Mendix uses AI and machine learning to optimize efficiency, fine-tune decision making, and proactively identify emerging problems.
Equip your development team with AI-assisted co-pilots that provide guidance, enforce best practices, and optimize application performance.
Accelerate innovation with built-in AIAD capabilities
Quickly build sophisticated solutions of the highest quality, performance, and consistency with our AI-assisted development bots, called MxAssist.
Integrated into the IDE, the built-in AI-co-pilots help developers of all skill sets build better applications, faster.
For novice developers, MxAssist provides guidance and enforces best practices, resulting in faster onboarding and higher-quality output. For experienced developers, MxAssist uses anti-patterns to identify and remove application inefficiencies, improving overall performance and security.
Achieve AI-driven operational excellence
Mendix is the only low-code platform with the versatility to facilitate AI/ML integration with both external cognitive services and embedded ML models.
With Mendix-built, AI-powered smart applications, your enterprise can boost efficiency, elevate customer satisfaction, and gain competitive advantage.
You should be building
smart applications with low-code
The challenges of AI are no match for low-code.
Download our latest eBook to see how and why enterprises are building advanced smart applications with low-code.
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What is MxAssist?
MxAssist is a collection of AI-assisted developer bots that support teams throughout the application development lifecycle.
MxAssist includes three virtual co-developer bots, each with specialized capabilities: MxAssist Logic Bot, MxAssist Best Practice Bot, and MxAssist Data Validation Bot. The purpose of these assistants is to help teams model and deliver higher-quality applications faster and more consistently.
How does MxAssist work?
MxAssist is built into the Mendix IDE. Our MxAssist bots use deep learning and the ML analysis of millions of anonymized applications to guide developers and make application development faster and easier.
MxAssist includes three specialized virtual co-developer bots:
- MxAssist Logic Bot helps you build models and application logic.
- MxAssist Best Practices Bot makes sure your application follows best practices.
- MxAssist Data Validation Bot uses automation and pre-built expressions to help you build validation microflows.
Is MxAssist available for all Mendix developers?
Yes. Developers of all experience levels can use MxAssist to accelerate the delivery of low-code applications.
MxAssist helps experienced developers build and innovate faster. Our virtual assistants also help novice developers understand low-code by learning the best actions to take throughout each stage of the application development process.
How can MxAssist improve the development process?
Whether you’re a novice or a professional, MxAssist helps developers of all skill levels build applications faster and more efficiently.
Our co-developer bots act as virtual Mendix coaches by inspecting models, identifying issues, recommending fixes, and measuring your application against best practices. If you’re new to low-code, MxAssist will serve as your guide throughout the application lifecycle so you can learn how to develop applications as you go. For professional developers, MxAssist streamlines and automates repetitive tasks so you can build fast and innovate more.
What benefits do embedded ML models provide over hosted AI services?
When you embed an AI/ML model inside your Mendix application, your model and application run inside the same node. This provides many benefits when compared to hosted third-party AI services, such as:
- Better performance
- Less latency
- Lower transactional cost
- Better data security and privacy
- Faster time to market
Where can I find pre-trained models for my smart applications?
You can see what is available in the ONNX Zoo, which is a collection of pre-trained, state-of-the-art models in the ONNX format contributed by its community members.
If you can’t find what you are looking for in the ONNX Zoo, then any model created by TensorFlow, PyTorch, Caffe, Keras, Wolfram, spaCy, or other AI framework that can convert their models into ONNX format can be used within your Mendix applications.
Am I limited to using only one type of AI capabilities per application (embedded or hosted)?
No, you can use a combination of embedded and hosted AI capabilities.
Mendix does not limit your AI-enabled smart application integrations in any way. You can use hosted, embedded, or a combination of both.
What are your plans for generative AI?
Our vision is to leverage generative AI to build the next generation low code platform.
We aim to further developer productivity by transforming the conversation between developer and the Mendix IDE into something more natural, intuitive, and powerful.
Our first generative AI capabilities—powered by our own specialized Large Language Model (LLM) and built in-house—appear in Mendix 10.6.