I am baffled by the popularity of *claw but I am always looking to learn, so I was happy to have the algo serve me this YT video of Limor explaining how she had a sandboxed claw running a local LLM to chew through a particularly dense datasheet to create a wrapper library and matching test coverage. https://www.youtube.com/watch?v=fdidNp5IHHI
This example is, as of this moment, the only example that has communicated to me that February 2026's local agent harnesses have some utility in the right context and expert hands.
I was particularly bolstered by the unintentional but very real demonstration of how LLMs really can be leveraged to free up humans to spend more parent time with their infants. We spend a lot of characters lamenting how we never got jetpacks, so here's someone doing it right.
Edit an hour later: this comment is at -2 as of the time I'm writing this, but apparently those folks don't have anything to say about why this felt important to rail against.
I don't use it but am thinking about it because it's very roughly the agent I built myself but with a community around it so I have to do less work fiddling with it.
Please people use protection and run this stuff in its own dedicated VM. Treat it like a coworker, they have their own dev setup separate from yours. Any AI from the last few years can even do the work of writing a libvirtd script to handle everything for you. It's touching your data but it least it can't accidentally rm rf your machine.