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new AI policy (#115)

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.github/pull_request_template.md vendored
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<!--
# Contribution Guidelines
<!-- Please note that this project is released with a
[Contributor Code of Conduct](CODE_OF_CONDUCT.md).
By participating in this project you agree to abide by its terms. -->
Please note that this project is released with a
[Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this
project you agree to abide by its terms.
## Submission
- Name - A short description that clearly explains what the project does, without marketing fluff.
---
Ensure your pull request adheres to the following guidelines:
## Requirements
- Follow the format `- [Name](link) - A small description.`
- Maintain alphabetical order in each category.
- Submitted projects must meet a popularity threshold:
- **GitHub:** Minimum 50 stars.
- **Other Platforms:** Comparable community interest.
- [ ] Entry uses format: `- [Name](link) - Description`
- [ ] Entry is in alphabetical order within its section
- [ ] Project has >=100 GitHub stars (if hosted on GitHub)[^1]
- [ ] Project is at least 1 year old (from first public release)
- [ ] Project shows recent activity (within ~12 months)
- [ ] Project is not mostly auto-generated[^2]
- [ ] This PR was written by a human. If you do not have time to write it yourself, I do not have time to review it
I apologize if this feels like an arbitrary hurdle. Unfortunately, to keep this list focused and manageable,
and to ensure it highlights projects that have demonstrated some level of community validation,
I need a way to fairly filter submissions. I simply cannot include every project, and without some kind of metric,
reviewing and rejecting projects becomes very subjective and unsustainable.
Submissions that do not meet these criteria may be closed without review.
This check is an attempt to introduce a degree of fairness and objectivity to the process. Thank you for your understanding.
-->
[^1]: Not a strict requirement, interesting projects may still be considered even if they have fewer stars.
[^2]: Any use of AI in the project must be disclosed honestly in the project itself (e.g., in the README or documentation).