# ResNet AI Model Constitution ## Core Principles ### Code Quality and Modularity All code must follow PEP 8 standards, include type hints, comprehensive docstrings, and be organized into modular, reusable components. Rationale: Enhances readability, maintainability, and collaboration in complex AI projects. ### Rigorous Testing Standards Implement unit tests for all utility functions, integration tests for data pipelines, and model validation tests including cross-validation and performance benchmarks. Use pytest or equivalent frameworks. Rationale: Ensures reliability and catches errors early in AI model development where failures can have significant impacts. ### Reproducibility and Versioning Version all code, data, and models using Git and DVC. Set random seeds for reproducibility in experiments. Document all dependencies and environments. Rationale: Critical for scientific validation and debugging in machine learning. ### Model Evaluation and Validation Evaluate models on independent test sets with multiple metrics (accuracy, F1-score, AUC, etc.). Perform error analysis and bias checks. Rationale: Prevents overfitting and ensures models are fair and effective. ### Continuous Integration and Quality Gates All changes must pass linting, unit tests, and integration tests in CI/CD pipelines. Model performance regressions must be flagged. Rationale: Maintains code and model quality over time. ## Additional Standards Security: Protect sensitive data, comply with privacy regulations. Ethics: Conduct bias audits, ensure responsible AI practices. Performance: Optimize for computational efficiency and scalability. ## Development Workflow Code reviews mandatory for all PRs. Model changes require peer review of evaluation results. Use issue tracking for bugs and features. ## Governance Constitution supersedes other practices. Amendments require documentation and approval from project maintainers. Compliance verified in code reviews. **Version**: 1.0.0 | **Ratified**: TODO(RATIFICATION_DATE): Original adoption date unknown. | **Last Amended**: 2025-11-04