mirror of
https://github.com/iluvcapra/pycmx.git
synced 2026-05-17 12:43:16 +00:00
Compare commits
2 Commits
2e4a0439c1
...
master
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
98e21e7a09 | ||
|
|
694b99d081 |
@@ -9,5 +9,36 @@ The best way to contribute code to this project is to find this project on [Gith
|
||||
If you have EDLs you are having trouble working with becuase of unusual formatting, please send me a copy! Contact us
|
||||
through [Github].
|
||||
|
||||
|
||||
[github]: https://github.com/iluvcapra/pycmx
|
||||
|
||||
## Regarding use of Agents
|
||||
|
||||
`pycmx` is an open-source project that is offered free for no commerical gain, and
|
||||
is developed and maintained for educational and creative reasons.
|
||||
|
||||
If you use an agent or LLM to produce code for it you are missing out on the benefits
|
||||
of contributing to an open-source project, particularly community, collaboration with
|
||||
other developers and designers, and being able to learn and experiment without the
|
||||
burden of deadlines or worrying about business cases or profits.
|
||||
|
||||
This project is supposed to be fun, do not let machines have fun for you.
|
||||
|
||||
We can't prevent you from using LLMs to contribute to this project but we ask you
|
||||
abide by the following eitiquette when doing so:
|
||||
|
||||
* All communication with the maintainers must be written by a human in their own
|
||||
voice. Never use an LLM to craft thread comments, discussion posts, issues, emails
|
||||
or other correspondence with other developers or the maintainers.
|
||||
* PRs must be submitted by a person. Do not allow an agent to submit its own PRs to
|
||||
this project.
|
||||
* Especially if you are a new contributor to this project, please submit only one PR
|
||||
at a time and please restrict the subject matter of the PR to a specific unit,
|
||||
module or tool. All submissions have to be reviewed and understood by the
|
||||
maintainers before they can be merged.
|
||||
|
||||
Obviously we can't verify if you follow all of these rules but certain telltale
|
||||
traits of LLM-predicted text or code will raise a flag: lack of brevity in
|
||||
descriptions or code comments, large amounts of text describing your process or
|
||||
steps that add little to understanding the changes you've made, use of an
|
||||
obsequious tone or being excessively accomodating, immediately doing requests
|
||||
without further discussion or clarifications.
|
||||
|
||||
Reference in New Issue
Block a user