Description

Users sometimes wonder what files or directories they find on their local PC are good for. If they can't determine from the filename or metadata, there should an easy way to quickly analyze the content and at least guess the meaning. An LLM could help with that, through the use of a filesystem MCP and to-text-converters for typical file types. Ideally this is integrated into the desktop environment but works as well from a console. All data is processed locally or "on premise", no artifacts remain or leave the system.

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Introduction to AI Workflows

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MCP Server for Futmondo Fantasy Football in Elixir

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My Xbox One X does not start - receiving varying error codes on boot-up.

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We are all tired of writing documentation (although there are some that like it, you nerd!!!) so why not automate that tedious part of our work away with the help of AI. The goal of this project is to create a tool that is able to generate documentation based on the proposed changes (or a PR) from our existing repository and store that as a markdown file locally and then submitted as a PR to the repository.

Rancher is a beast of a codebase. Let's investigate if the new 2025 generation of GitHub Autonomous Coding Agents and Copilot Workspaces can actually tame it.

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SUSE Observability pre-processes topology data during ingestion and stores it in its custom graph database.

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The core of the system is the Home Assistant Green Hub, which will serve as the dedicated, localized controller for all smart devices. The primary goal is to establish a secure, private, and highly customizable local home automation ecosystem, moving away from cloud-dependent solutions.