generative-ai-for-beginners VS lnav

Generative AI For Beginners: a collection of resources to learn about Generative AI, including tutorials, code samples, and more.

https://github.com/microsoft/generative-ai-for-beginners/

Create an issue at https://github.com/microsoft/generative-ai-for-beginners. There is a call to action for feedback and looks like at least one of the contributors are in education, so will probably take the feedback on board.

The Logfile Navigator (https://lnav.org) is a log file viewer/merger/tailer for the terminal. It has some advanced UX features, like showing previews of operations and displaying context sensitive help. For example, the preview for filtering out logs by regex is to highlight the lines that will be hidden in red. This can make crafting the right regex a bit easier since the preview updates as you type. lnav also has some simple bar charting abilities, so you can visualize the results of SQL queries made against the log messages.

See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time.

The code base seems like a good reference as a small Python project.

My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4

For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now.

I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool.

[1] https://lnav.org/