I'm looking forward to having some community guidelines emerging for this kind of creation. In this case, the library works probably well enough to be used due to the extensive external suite, but in general, these LLM build projects look great until you start to use them in a real application.
Now it's easy to spot them by looking at the LLM hint in the code, the LLM looking documentation, and low engagement on GitHub, but in the future, this will not be so easy.
I will be curious to see some statistics from GitHub on how many of these projects are online and how many gain community engagement.
These projects are no different from other random hobby-projects that pop up that weren't LLM-coded. The community will decide if they are useful or not.
The difference here might be speed, that there are many more projects like this.
DISCLAIMER: It can be viewed as an advertisement for my project
Few months back I have start a company for that exact purpose : helping you decreasing you AWS bill.
https://wizardly.eu/
The focus is around reservation, unused resources and tracking cost evolution on a day to day basics.
I don't get that much traction ( I'm not a marketer and it's my first SaaS project, still a lot to learn in that area).
I'm looking for more users feedback, if you willing to invested few minutes in my project that would really helpful. It's also completely free now.
As the article say, their is no silver bullet. Specially if you need infrastructure changed. But it's possible to have an interesting cut by using all the AWS pricing options.
Making teams aware and responsable of their costs is also making a big differences. Often, people creating and managing infrastructure have no view of what it is costing for their company.
I'm looking forward to having some community guidelines emerging for this kind of creation. In this case, the library works probably well enough to be used due to the extensive external suite, but in general, these LLM build projects look great until you start to use them in a real application. Now it's easy to spot them by looking at the LLM hint in the code, the LLM looking documentation, and low engagement on GitHub, but in the future, this will not be so easy.
I will be curious to see some statistics from GitHub on how many of these projects are online and how many gain community engagement.