Yes. I like the outcome generated by the skill, and it triggers me to learn more terminology that I never heard of. I want to try more for public trading companies. If this skill can be integrated with like 401(K) investment research, it'll be great. Does some of investment companies like Fidelity using such SKILL background?
I assessed the tool on a CentOS 7 system today. It can't run on older CentOS 6. It will generate core dump.
My testing went well. I was able to mount ZeroFS as NFS and write a 100M file to the mount point. The file persists after I deleted ZeroFS cache.
My plan is to use it for backup process. If we don't have such tool, we would need to prepare a large Filesystem stage area, then run rclone to upload to cloud space. With this tool, I can mount it on Backup server, rsync file server a large Filesystem to the ZeroFS mount point, eliminating stage area.
Will ZeroFS support large Filesystem size about 800GB?
I don't fully understand what "atomic checkpoint writer" means, but the LLM understands what it means. The functions are likely to implement "atomic checkpoint writer".
The key takeaway is that tokens generated by human usually not restrict enough. When I thought about "checkpoint", I wasn't thinking of any "atomic" shape of checkpointing. I was using my casual language model to generate first version of implementation first. Then using Spec-Driven-Development model, the generated spec has better understanding of what it is. There could be many mutated forms of real life implementation of "checkpoint", the LLM generated code is mostly restrictive one that I will never know in my whole life experience. The LLM training must have undergone very restrictive learning process that I never experienced.
I cloned your Spec-Driven-Development repo to my GitHub repo, use codex to generate a scraper checkpoint manager spec, then use codex prompt to implement the checkpoint logic. The new implementation has significant improvement on top of my original shape of checkpoint logic. It's strict implementation based on generated spec.