Django contributors are urging developers to stop using AI tools to generate code contributions. The community argues that LLM-generated submissions create a facade of understanding while actually harming the project's quality and collaborative spirit. While AI tools help developers ship code faster, Django's high standards require genuine comprehension of the codebase.

Django's 20-year legacy and massive user base demand careful, thoughtful contributions. The framework changes slowly and must remain reliable for decades, making understanding essential. Contributors report seeing pull requests where AI generates code, writes descriptions, and responds to feedback - creating interactions that feel hollow to reviewers who can't tell if the contributor truly understands their work.

The Django Software Foundation suggests developers donate money instead of AI tokens to support the project. Contributors emphasize that contributing to Django should be a human-to-human collaboration where your understanding grows through reading, experimenting, and learning. They recommend using AI only as a complementary tool - to develop comprehension first, then communicate in your own words before using AI to refine language.