AI-Assisted Development in Action with Mendix

AI-Assisted Development in Action with Mendix

A tecnologia por trás da inteligência artificial (IA) requer recursos especializados para construir e implementar. É por isso que muitas organizações ainda estão em fase de experimentação com IA. Com o Mendix 10.6, também estávamos experimentando IA.

À medida que o Mendix Studio Pro avança para a versão 10.12 , você pode ver que essas experimentações estão se tornando mais realidade.

Our goals with AI are the same as our commitment to you over the past nearly 20 years: to help you streamline development and accelerate project timelines. We’ll do this through AI-assisted development, as well as by making it easier for you to create AI-enhanced applications.

How does AI-assisted development differ from traditional software development?

AI-assisted development is the use of machine learning to assist developers by providing real-time recommendations and applying best practices throughout the software development life cycle (SDLC).

AI has the ability to provide guidance, assistance, and support throughout the software development life cycle (SDLC).

AI provides guidance by allowing developers to ask questions related to IDE development. In turn, the IDE provides immediate and insightful answers, along with access to the sources used to generate those answers.

AI can help provide real-time recommendations and apply best practices when creating logic or automating corrective tasks that typically slow down developers using traditional development methods.

A key difference between AI-assisted development and traditional development is the use of generative AI. Generative AI can accelerate the development process and improve consistency and quality by:

• Developing front-end and back-end logic
• Creating application components
• Automate tasks such as creating SQL commands and test data, for example

Quais recursos o Mendix oferece para desenvolvimento assistido por IA?

The work we've done with AI provides you and your development teams with more guidance on software development.

Dito isso, gostaríamos que você conhecesse o Maia, ou assistência de IA do Mendix. O Maia é nosso conjunto de ferramentas de desenvolvimento assistidas por IA incorporadas ao IDE do Mendix Studio Pro.

The services available on Maia enable you to achieve the speed needed to deliver solutions and start generating value faster. They also provide a way to achieve higher quality right from the start. The tools available on Maia are all about intelligent guidance, assistance, and generation

Maia Chat

Nosso chatbot anterior, Mendix Chat, agora foi integrado ao Maia e agora é conhecido como Maia Chat. O Maia Chat fornece respostas imediatas e detalhadas sobre perguntas relacionadas ao Mendix e é alimentado por Generative AI.

Vemos o Maia Chat beneficiando novos usuários da plataforma Mendix para que se atualizem mais rapidamente e ajudando aqueles com experiência em Mendix a obter respostas mais rapidamente.

Other updates to Maia's chat feature include a 40% faster response time, copy/paste shortcuts, and improved readability.

The improvements we’ve made to Maia Chat are essential for helping your developers build faster, which means getting solutions into production more quickly and creating value as fast as you need it.

AI-powered development: Maia Recommendations

The Maia platform also includes several recommendation tools. These tools provide real-time, context-driven next steps and best practices to help you complete your build faster.

Se você já usou o Mendix 10, já viu isso antes com nossos Bots de Lógica e Melhores Práticas. Eles agora são conhecidos como Maia Logic e Maia Best Practice Recommenders.

The Logic Recommender provides real-time, context-driven suggestions for the most relevant next steps when creating microflows and nanoflows. New in version 10.12 is the Workflow Recommender. The Workflow Recommender is similar to the Logic Recommender in terms of UI, but it suggests user tasks and workflow elements (such as timer events, decisions, and splits, to name a few), which in turn suggests logic for business processes.

AI-powered development: Maia Recommendations

The Maia platform also includes several recommendation tools. These tools provide real-time, context-driven next steps and best practices to help you complete your build faster.

Se você já usou o Mendix 10, já viu isso antes com nossos Bots de Lógica e Melhores Práticas. Eles agora são conhecidos como Maia Logic e Maia Best Practice Recommenders.

The Logic Recommender provides real-time, context-driven suggestions for the most relevant next steps when creating microflows and nanoflows. New in version 10.12 is the Workflow Recommender. The Workflow Recommender is similar to the Logic Recommender in terms of UI, but it suggests user tasks and workflow elements (such as timer events, decisions, and splits, to name a few), which in turn suggests logic for business processes.

Conversational user interface

A experiência do cliente é tudo. É por isso que construir chatbots e outras experiências do tipo conversacional deve ser a principal preocupação da maioria das empresas.

Com a IU Conversacional, você obtém componentes reutilizáveis ​​que permitem criar mais facilmente esses tipos de experiências, seja um chatbot independente ou uma experiência de conversação integrada ao seu aplicativo Mendix.

Depending on your preference, you can use the OpenAI or Amazon Bedrock connector templates and leverage your own data through Retrieval-Augmented Generation (RAG). Both connectors have been updated to be compatible with the Conversational UI.

Early AI applications

Want to build an enterprise-grade ChatGPT-style solution, but need it to be private? We have just what you need with our AI Bot Starter Application. With it, you can build a bot in minutes that will give your users

• Anyone up for a brainstorming session?
• A copywriter to draft emails and social media posts
• An assistant that can summarize large amounts of text
• A tool that can analyze PDF documents
• A developer who can help with logic puzzles

This bot is compatible with Azure OpenAI and Amazon Bedrock and allows you to connect it to your data sources in a RAG configuration.

We are also providing a blank GenAI starter app that helps you quickly get started on your own custom GenAI project.

AI and low-code go hand in hand

When it comes to any new technology, we want to see how we can use it to help you, our valued customers. We also want to see how we can help you make the most of it.

We will continue to develop and refine our offerings in the areas of AI-assisted development and AI-enhanced applications to ensure that you can deliver value as quickly as possible.

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Eduardo Salerno

Eduardo Salerno is a specialist in IT portfolio and project management, with extensive experience in Planview implementations Planview digital transformation. At TWRT, he leads initiatives that link business strategy to technology execution.

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