Vaadin Blog
As a developer, there often comes a time when you need to quickly display your data structures in a human-readable format on the screen. During development, debuggers often provide a nice tree-like view of your data objects, which helps visualize the structure. Building something similar manually to your UI is, of course, possible, but it is too expensive in many situations—especially in rapid application development (RAD) or internal business apps. Today, generative AI can produce decent visualizations, but in the early phases of development, a fully dynamic solution would be more ideal.
Vaadin 24.5 makes Kubernetes easy and brings Copilot to Flow
Say hello to Vaadin 24.5! This release brings exciting new capabilities to the platform, including the Vaadin Control Center for managing apps in production and automatic user management without extra development. You'll also find the Vaadin Modernization Toolkit for seamless migration from older ...
Introducing Vaadin Control Center: The DevOps tool for managing and scaling Java apps on Kubernetes
We're excited to introduce Vaadin Control Center, a powerful DevOps tool designed for Java developers deploying applications on Kubernetes. It simplifies and automates the operation of Vaadin apps in production, seamlessly integrating with both new and existing Java applications. Control Center ...
Collaboration Kit is now free and open source
In 2020, we embarked on developing modern collaborative functionalities for your Vaadin applications, tackling the challenges of managing UI state changes and synchronization and ensuring every update efficiently reaches the appropriate users. Our journey has been a learning curve—enhanced by user ...
Integrating Lottie web animations for better UX in Java apps
When building useful applications, things like animations are typically the last thing to think about. They all seem like extra work away from solving the “real problem.” Yet, we all know that they enhance the user experience by making interactions smoother and more intuitive. I’ve always been ...
Calling ChatGPT and OpenAI APIs in Spring Boot with Java
This article will guide you on integrating OpenAI APIs, such as ChatGPT, in your Spring Boot application. We will cover moderation, embedding, and chat completion requests. It is a part of our Building an AI chatbot in Java series. Prerequisites This tutorial assumes you already have a Spring Boot ...
Building a custom AI agent in Java: A hands-on guide
Large Language Models (LLMs) are amazing tools. We can ask them to do things for us in plain language, and they use their vast knowledge of the world to deliver an answer in an instant. But when it comes to building AI-powered applications, there's a big problem: LLMs are generic, while our ...
1-line sortable and filterable data grid for Spring Data
Presenting data in a clear, interactive, and visually appealing manner is a common activity of many web developers. Hilla's AutoGrid component gives developers a way to take backend data and efficiently display it on the frontend user interface. AutoGrid simplifies data representation and enhances ...
6 DateTimePicker components for your web apps
Inputting dates and times in web applications is a common task—whether users select a birthdate, book travel, or schedule an appointment. A reliable DateTimePicker component can drastically enhance the user experience by minimizing errors and simplifying input. There are many components designed ...
Handling slow backend actions in Vaadin apps
Vaadin’s business-app-oriented web frameworks come with a helpful productivity feature that automatically indicates to users when a backend call takes unusually long. While this feature is incredibly useful for developers to understand and manage performance, and is sufficient for most backend ...