therealmocker

I’m seeking advice on the scenarios where large language models (LLMs) shine and where they may not perform as well.

What types of problems have you successfully solved with LLMs? What are some common pitfalls or areas where they tend to underperform?

Basically cron but centralized. Useful for organizations with lots of applications because:

- Development teams don't have to roll their own solution - Single interface for teams to pause jobs during maintenance windows - Easily see job failures across an entire organization - More advanced job orchestration and workflow capabilities

There are many ways to solve this (purpose-built applications, k8s jobs, cloud services, scheduled pipelines, etc). I am curious about what others have seen or are using.

The project that I created allows people to share files using DNS. A file is pushed to an authoritative name server and can be pulled back down with a file key. If it's pulled back down from someone's normal name servers, it will (depending on DNS server settings) be cached on that name server. Subsequent pulls from that name server won't need to hit the authoritative name server for records as long as it's cached (usually TTL, sometimes not). You can find it at: http://sendtodns.github.com

I think the idea is fun, and I've been able to pull down an Ubuntu ISO using only DNS as my source. The problem is that I'm learning ruby in the process of writing this so the code is pretty ugly.

Questions

- Where do you "publish" new projects so that others can find out about them? I was told by someone on reddit that here would be a good place, so I'm doing that now. - What are some ways I can find people to give advice? I put a disclaimer up stating basically "Code is ugly, please fork with suggestions."

Thanks in advance!