There are customer use cases where sharing information via internet or uploading data somewhere is not acceptable for security reasons: this avoid the usage of some tool like the most famous Google Analytics, and prevent developers from understanding how the web application is used by the customers. I don't want to reinvent the wheel and re-implement a copy of Google Analytics, but getting inspired from it, the goal is to reuse information that we already have to extrapolate an analysis of the WebApp customer usage.

Very often people find themselves wanting to store secrets in a way that either they can recover even if (for instance) their house burns down, or allow friends and family to recover if they pass away. Existing solutions to this problem are:

Current Situation [bsc#1201271]

Description

The compressed image of e.g. SLE Micro 6.0 is ~ 900Mb. ** The overall goal of this project is to make a smaller footprint (in terms of image size) flavor of the image. This is to be achieved by limiting the target use-case to simple RPi (4, 400, Pi Zero 2) server for home IoT. **

Project Description

Description

The project aims to explore how to design effective system messages and prompts tailored for AI-driven code refactoring tasks. By refining these prompts, we can guide AI models to better understand code structure, identify improvement opportunities, and execute refactorings with minimal manual intervention. The project will delve into creating system messages that balance technical detail with flexibility, enabling AI to perform refactorings that maintain code functionality while improving readability, efficiency, and maintainability.