The article assumes that the skills need to be used by the same model. If a model like Opus develops a skill that is then used by another model like Qwen3.6, that feels like it could also add value.
One flag that you might have missed. If you have sparse files such as qcow disk images, you might also need `-S`, `--sparse` or it will expand the file to its full disk size when copied to the destination.
For people who spend a significant amount of time understanding how LLMs and the associated harnesses work, sure. For the majority of people who just want to use it, it's not quite so obvious. The interface strongly…
The "Picking delaySeconds" section is quite enlightening. I feel like this explains about a quarter to half of my token burn. It was never really clear to me whether tool calls in an agent session would keep the context…
This reminds me a bit of monoliths vs microservices. People would see microservices as the next new shiny thing and bring it with them to their next job, or read a great blog post that sounds great in theory, but falls…
The article assumes that the skills need to be used by the same model. If a model like Opus develops a skill that is then used by another model like Qwen3.6, that feels like it could also add value.
One flag that you might have missed. If you have sparse files such as qcow disk images, you might also need `-S`, `--sparse` or it will expand the file to its full disk size when copied to the destination.
For people who spend a significant amount of time understanding how LLMs and the associated harnesses work, sure. For the majority of people who just want to use it, it's not quite so obvious. The interface strongly…
The "Picking delaySeconds" section is quite enlightening. I feel like this explains about a quarter to half of my token burn. It was never really clear to me whether tool calls in an agent session would keep the context…
This reminds me a bit of monoliths vs microservices. People would see microservices as the next new shiny thing and bring it with them to their next job, or read a great blog post that sounds great in theory, but falls…