The rise of LLMs as a useful development tool over the last year or so has been significant. The power and flexibility of tools like Claude Code and ChatGPT have given a lot of functionality both to experienced developers and new developers alike. But there are trade-offs.

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Jellyfin establishes clear policies for LLM usage in contributions. Direct LLM output is prohibited in all communications (issues, PRs, comments). Code contributions using LLMs must be concise, well-formatted, thoroughly understood by the contributor, tested, and accompanied by human-written explanations. Contributors must handle review feedback independently and avoid "vibe coding" where LLM output is committed as-is. Third-party LLM-generated projects shared in the community must be clearly labeled, respect licenses, and properly attribute existing contributors. The policy aims to maintain code quality while allowing LLMs as development aids rather than primary code generators.

LLM/"AI" Policies

LLM Code Contributions to Official Projects ​

LLM-generated Tools, Clients, etc. Shared in the Community ​