TEE: Teki Editorial Everywhere

When working with AWS S3, I often receive S3 URLs that are not publicly accessible. These links can't be opened directly in a web browser, and they come in many different formats. For example: https://bucket.s3.amazonaws.com/key or https://s3.region.amazonaws.com/bucket/key Each time, I had to manually: 1) Figure out which format it was. 2) Extract the bucket and key. 3) Open the AWS Console. 4) Navigate to the correct object. This routine was repetitive and time-consuming. So I built S3Mate . It's a small desktop gadget that lets me paste any S3 URL, automatically resolves the bucket and key, and quickly shows or operates on the object without switching tools. The application detail, source code and releases can be found at the repository of the gadget at  https://github.com/tekichan/s3mate Even though S3Mate is a small project, I picked up a few useful lessons along the way. 1. Building Native Desktop Apps with jpackage I learned how to use jpackage to turn a Java applicat...

My Sharing about JavaFX Attending JManc , an unconference organised by Manchester Java Community and hosted at Auto Trader 's offices, was an exciting experience. This unique event demonstrating the essence of participant-driven learning and collaboration, set the stage for a series of engaging and enlightening sessions. Propose and vote for topics In the morning, we proposed topics using sticky notes. Afterward, we voted on these topics with dots, shaping the day's agenda based on collective interest. This process itself was a testament to the community's diverse interests and expertise. Breakfast Keynote by Helen Scott Keynote by Helen Scott The unconference kicked off with a keynote by Helen Scott from JetBrains . Helen's talk centered on AI, a topic so crucial and timely that, as she humorously noted, audience would have thrown her out of the window if she did not speak of AI. Her insights into AI's impact on development and the future of programming set a tho...

Happy to share my recently developed GUI application built entirely in Java! The app, called SDUI4J , serves as an intuitive platform for Text-To-Image and Image-To-Image generation, seamlessly integrated with Stable Diffusion APIs .  Using JavaFX along with FXML , I've crafted a modern and structured GUI, ensuring a user-friendly experience while tapping into Java's full potential in the realm of Generative AI. I'm passionate about discovering Java's capabilities in the field of AI, and this project is a testament to that. I'm excited to continue exploring the convergence of Java and AI. If you're interested in learning more about this project or exploring potential collaborations, feel free to reach out. Let's drive Java forward in Generative AI together!