DragonX/dragonx
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

AI/LLM usage policy

Browse Source 
Inspired by the policy in https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md
This commit is contained in:
duke
2026-03-03 11:40:16 -05:00
parent 0867d8cf62
commit d6d495c447
1 changed files with 16 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
doc/CONTRIBUTING.md
View File

@@ -4,6 +4,7 @@ Thank you for reaching out and trying to make Hush an even better software appli
## Table of Contents
0. [AI/LLM Usage Policty](#ai/llm-usage-policy)
0. [Types of contributions we're looking for](#types-of-contributions-were-looking-for)
0. [Ground rules & expectations](#ground-rules--expectations)
0. [How to contribute](#how-to-contribute)
@@ -12,6 +13,21 @@ Thank you for reaching out and trying to make Hush an even better software appli
0. [Contribution review process](#contribution-review-process)
0. [Community](#community)
## AI/LLM Usage Policy
> [!IMPORTANT]
> This project does **NOT** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity. The human submitting new code to the project must actually understand the code changes they are submitting.
Code that is initially generated by AI and subsequently edited will still be considered AI-generated. AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (e.g., generating repeated lines with minor variations).
If AI is used to generate any portion of the code, contributors must adhere to the following requirements:
1. Explicitly disclose the manner in which AI was employed, including the exact model and quantization used and if it was done via local AI, such as with llama.cpp or a SaaS provider.
2. Perform a comprehensive manual review prior to submitting the pull request.
3. Be prepared to explain every line of code they submitted when asked about it by a maintainer.
4. It is strictly prohibited to use AI to write your posts for you (bug reports, feature requests, pull request descriptions, Github discussions, responding to humans, ...).
## Types of contributions we're looking for
There are many ways you can directly contribute to Hush: