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Das nag informatik Team hat am BaselHack 2025 eine funktionsfähige Applikation entwickelt, die mithilfe von künstlicher Intelligenz Lebensversicherungsanträge automatisch bewertet und entscheidet, ob diese angenommen, abgelehnt oder weitere Informationen angefordert werden sollen.

Generative AI currently dominates discussions, inspiring my decision to integrate ChatGPT into my Letter App (https://letter-app.com). This app enables users to easily compose and print impeccably formatted letters across iPhone, iPad, and Mac devices. By leveraging ChatGPT, I can introduce users to a plethora of supplementary features. These include text correction, enhancement, professional and humorous writing styles, and even the generation of entire letters guided by specific instructions.

In today’s rapidly evolving technological landscape, the integration of Large Language Models (LLMs) into various applications has become increasingly popular. These models, such as GPT-3 and GPT-4 from OpenAI, Turing-NLG from Microsoft, LaMDA from Google, and Llama 2.0 from Meta, possess the remarkable ability to comprehend and generate human-like text. In this article, I will focus on integrating OpenAI’s GPT into Java applications using Spring AI, a upcoming framework designed to simplify the development of AI-powered applications.

In today’s digital age, a visually compelling presence in the Apple App Store can be the difference between obscurity and success. When potential users stumble upon your app’s listing, the first impression they get is often through the screenshots you provide. High-quality screenshots can effectively convey the value and functionality of your app, enticing users to explore further and, ideally, hit that “Download” button.

On January 23, 1996, Java was first released, and over the years, it has undergone significant changes. I started working with Java in the early 2000s, using J2SE 1.3, which lacked features that are now commonplace. Java 5 introduced generics, “for each” loops, annotations, autoboxing, and unboxing, resulting in more modern Java code.

In 2016 I changed jobs and finally was able to work in a team using the Scrum Framework. The whole company had switched to Scrum shortly before. To this day the transition to Scrum has still not been completed, but nevertheless, I was able to learn a lot about agile software development.

Time flies. Five years ago we evaluated React, Angular, and Vue in our team and decided to go with React.

I started working with React 5 years ago. Due to the Rails experience in the team, rails were set as the backend and for the frontend. After a short evaluation of Angular, React and Vue.js, React convinced us the most at that time.

20 years ago, when I started working as a programmer, we had our own test departments and teams that were only responsible for testing. There were hardly any automated tests. Everything was tested using textually described manual test cases.

React is one of the most popular libraries to create comprehensive single page applications.