The Zig project enforces a firm ban on LLM-assisted contributions, rejecting AI-generated code for issues, pull requests, and bug tracker comments. This policy prioritizes human-driven development, with contributors encouraged to write in their native languages and rely on community translation tools. The rationale centers on fostering contributor growth over perfect code, as explained by Zig Software Foundation VP Loris Cro.

Cro emphasizes that reviewing imperfect PRs helps onboard new developers, creating a sustainable ecosystem where contributors evolve into trusted maintainers. This approach contrasts with projects that might use LLMs to automate fixes, arguing that human collaboration strengthens long-term project health.