For most of college, I’ve kept it simple: I’d create a directory in my home folder for each project, then eventually move older or inactive ones into ~/programming/. When I change devices or hit file size limits, I’ll compress and send things to my NAS.

This setup has worked pretty well so far. But now that I’m graduating and my projects keep stacking up, I’m starting to wonder if there’s a more efficient system out there.

Curious—how do you all organize and store your projects? Any tips or methodologies that have made your lives easier over time?

The only person I’ve talked to about this is my mentor who’s been programming since the 60s (started on the IBM 1620 and Bendix G15) and he just mostly keeps projects in directories in his home directory and uses his godly regular expressions skills to find things that way. Makes me wonder if I’m overthinking it…

  • qaz@lemmy.world
    link
    fedilink
    English
    arrow-up
    5
    ·
    edit-2
    11 days ago

    I used to be put everything in ~/Programming at the top level. I later started grouping projects by type (JVM, Web etc.) in subfolders because it was getting hard to find things. This was synced with Nextcloud. However, I then at some point passed 2 million files (200GB) in said folder and decided to search for a better solution.

    I ended up using a selfhosted Forgejo instance. It allows for easy code searching across all projects, tagging projects by topic and language, LFS, and has useful project management tools built-in.

    • UnRelatedBurner@sh.itjust.works
      link
      fedilink
      arrow-up
      2
      ·
      9 days ago

      I’ve seen a lot of talk about large file sizes. How can you realistically reach 200GB in text? That’s around 2*10^11 characters. Or do you guys store something else as well, like sqls of data or pictures/textures/models?

      • qaz@lemmy.world
        link
        fedilink
        English
        arrow-up
        2
        ·
        edit-2
        9 days ago

        It consisted of tensors weights, datasets (which can reach several gigabytes), images, 3d models, and roughly 250+ programming projects with binaries, git without LFS and also a lot build files.

        Nextcloud was able to sync it all, but syncing was getting so slow that I had to keep my new laptop running for almost an entire day to get all synced to it. It also wasn’t that great at excluding certain folders (like build cache folders or NPM package files), you would have to set up exclusions on each device separately. Another problem with Nextcloud sync was that it would sometimes duplicate projects after had been moved in a subfolder.