I Built a Python script that uses a local Ollama LLM to automatically find and add movies to Radarr.

It picks random films from your library, asks Ollama for similar suggestions based on theme and atmosphere, validates against OMDb, scores with plot embeddings, then adds the top results to Radarr automatically.

Examples:

  • Whiplash → La La Land, Birdman, All That Jazz
  • The Thing → In the Mouth of Madness, It Follows, The Descent
  • In Bruges → Seven Psychopaths, Dead Man’s Shoes

Features:

  • 100% local, no external AI API
  • –auto mode for daily cron/Task Scheduler
  • –genre “Horror” for themed movie nights
  • Persistent blacklist, configurable quality profile
  • Works on Windows, Linux, Mac

GitHub: https://github.com/nikodindon/radarr-movie-recommender

    • prettygorgeous@aussie.zoneEnglish
      5·
      5 hours ago

      Built with Claude by the looks of things. Not sure if Claude was used to generate the boilerplate and whether the dev reviewed it after or whether Claude did all of it, but definitely Claude was used for some of it. I recognise the coding style that Claude outputs and the bugs that it implements that will cause TypeErrors if not handled.

      FWIW, I’m not against using AI as an assistant for coding (I do it too, using Claude and Vercel as assistants) just as long as the code is reviewed and understood in full by the dev before publishing.

      • irmadlad@lemmy.worldEnglish
        2·
        4 hours ago

        FWIW, I’m not against using AI as an assistant for coding (I do it too, using Claude and Vercel as assistants) just as long as the code is reviewed and understood in full* by the dev before publishing. *my emphasis

        A very sane take. I do wish devs would fully disclose this on their github or other. That way, if the project is seasoned, well starred, et al, and the dev used AI as an assistant, then the user gets to decide. Given all the criteria are met, I would deploy it.

        I will say that I have observed what seems like a pretty decent up tick in selfhosted apps, and I would be willing to bet a goodly amount of them have at the very least, used AI in some capacity, if not most/all code. I don’t have any solid evidence to back that up but it just seems that way to me.

        • prettygorgeous@aussie.zoneEnglish
          1·
          49 minutes ago

          I think the problem is a cyclical one. Some devs are afraid to admit that they used AI to help them code because there’s so much hatred towards using AI to code. But the hatred only grows because some devs are not disclosing that they’ve had help from AI to code and it seems like they’re hiding something which then builds distrust. And of course, that’s not helped by the influx of slop too where an AI has been used and the code has not been reviewed and understood before its released.

          I don’t mind more foss projects, even if they’re vibe coded, but please PLEASE understand your code IN FULL before releasing it, if at least so you can help troubleshoot the bugs people experience when they happen!

        • hendrik@palaver.p3x.deEnglish
          2·
          2 hours ago

          Yeah. Maybe it’s time to adopt some new rule in the selfhosted community. Mandating disclosure. Because we got several AI coded projects in the last few days or weeks.

          I just want some say in what I install on my computer. And not be fooled by someone into using their software.

          I mean I know why people deliberately hide it, and say “I built …” when they didn’t. Because otherwise there’s an immediate shitstorm coming in. But deceiving people about the nature of the projects isn’t a proper solution either. And it doesn’t align well with the traditional core values of Free Software. I think a lot of value is lost if honesty (and transparency) isn’t held up anymore within our community.