I don't see any indication of AI integration on Codeberg, and in fact one of the features of the project is that it is lightweight and simple to set-up. Unsure if integrating potentially resource intensive or complex AI aligns with those properties.
I think an LLM integrated into the IDE would be better suited when it comes to projects that aren't backed by a company like Microsoft who have a large amount of GPU compute to spare for their users.
Or it'd be bart of a CI pipeline. AFAIK that is theoretically already possible. You could configure the existing CI to feed the code through some form of AI code check.
I'm sorry that this in no way answers your question, but... does anyone know if the LMS protocol is sufficiently rich enough to support AI co-piloting? It seems like it should, as it already supports extended autocompletes such as loop templating, but I wonder if a copilot would tax it.
That's how I'd hope it (AI co-coding) would arrive: not having to be custom baked into each editor, but hooked into a standard usable by even simple (non-IDE) editors.