ARIA is an open-source framework designed to establish and enforce AI participation policies in software projects. By providing a standardized method for defining interactions between AI and codebases, ARIA helps ensure clarity around responsibilities, fostering a balanced collaboration between human developers and AI contributions.
ARIA is an open-source framework specifically designed to define and enforce AI participation policies within software projects. It establishes a standardized approach for allowing AI to interact with codebases, ensuring that clear responsibilities and boundaries are upheld between human and AI contributions.
In a landscape increasingly dominated by AI tools in software development, ARIA offers an organized way to manage these contributions. Just as a .gitignore file helps manage which files are tracked, ARIA facilitates the clear delineation of AI's role in a project, ultimately enhancing accountability and governance.
ARIA supports several foundational models for AI participation, which cater to varying degrees of AI involvement:
version: 1.0
model: assistant
defaults:
allow: [] # Deny-all by default
require:
- human_review
- tests
paths:
'src/tests/**':
allow:
- generate
- modify
require:
- test_coverage
'docs/**':
allow:
- generate
- modify
- suggest
Extensive documentation is available for users:
The project is currently in alpha stage development (version 0.1.2-dev), with foundational concepts established but numerous features still in progress. Community contributions are welcomed, and guidance for contributing can be found in the Contributing Guide.
In commitment to transparency, it is noted that parts of this project, including code and documentation, were developed with AI assistance, under strict human supervision and adhering to the policies ARIA aims to establish.
For those seeking to engage with ARIA, visit the GitHub repository and explore the numerous possibilities of integrating responsible AI into software development.