Like most LLM-made readme's and the six bajillion AI/agentic/llm tools now on Github I can barely get a grasp on what I'm looking at here, or how to use it practically.

> Smart code bundler that turns repositories into optimized code bundles meeting a token budget in milliseconds

Ok. So it's a tool, do I use it on my repo once? Then what? Do I use it as I go, does it sit somewhere accessible to something like Claude Code and the onus is on me to direct Claude to use this to search files instead of his out of box workflow ? I can see some CLI examples, what should I do with that where does that fit into what people are using with cursor / claude / gemini etc ?

This is the part I've been trying to hammer home about LLM created stuff. It leaves us with vague not well-understood outcomes that might do something. People are shipping/delivering things they don't even understand now and they often times can't speak to what their thing does with an acceptable level of authority. I'm not against creating tools with LLM's but I'm actually pretty against people creating the basic readme with LLM's. Wanna make a tool in an LLM? More power to you. But make sure you understand what was made, because we need humans in here telling other humans how to use it, because LLMs flat out lose the plot over the course of a large project and I think a big issue is LLM's can sometimes be more eloquent at writing than a lot of people can, so they opt for the LLM-generated readme.

But as someone who would maybe consider using something like this, I see that readme and it just looks like every claude code thing I've put together to date which is to say I've done some seemingly impossible things with Claude only to find that his ability to recap the entirety of it just ended up in a whole lot of seemingly meaningful words and phrases and sentences that actually paint a super disjointed picture of what exactly a repo is about.