On the #granite-advocate-tech call, I demo-ed the experimentations around creating a command line utility tool powered by Granite.

This recipe will focus on replicating the core functionality—scanning log files, detecting errors, and generating AI-driven recommendations—while keeping it concise for an MVP (Minimum Viable Product).

The recipe will be structured as a Python script with clear steps, comments, and modular functions, suitable for both technical audiences (e.g., DevOps engineers) and those prototyping AI tools. I’ll also ensure it doesn’t break existing CLI functionality by reusing compatible logic from the Node.js-based tool (e.g., sequential processing, single-issue AI calls) that was demo-ed on our granite advocate call.

Is it okay to build a simplified version of the tool as a command-line utility and contribute a recipe?