For a while I have been looking for a good self-hosted solution for recording my gym sessions. I have a good solution for tracking my cardio sessions (cycling and running mainly) in Endurain, but never for strength training. I have tried a few:

• wger - a good solution, but the UI is a bit dated and it is also geared towards managing a gym rather than a single user.
• Wingfit - also good, but I just did not click with it. Shame, because the developer is from Brittany, which is my adopted home.
• A multitude of different open source Android apps. These all had UX issues and no syncing, so kind of sucked for me.

As a result, I stayed on Strong for much longer than I would have liked.

I have been using Opencode to work on a couple of ESP32 projects that are of a more “Maker” nature. At some point I realised that I also needed a case and decided to set Opencode loose on it too.

The workflow for this is simple, but awful:

• describe the case in words
• Opencode (using Big Pickle because FREE) creates an OpenSCAD model
• Render the OpenSCAD model
• Wonder what the hell Opencode was thinking
• GOTO 10 and the cycle continues ad nauseam

What you need is some way for Opencode to verify what it has done and iterate.

As part of my continuing experiments with AI, I regularly use models from Hugging Face. Ollama makes it really easy to run models locally from their own repo, but sometimes they do not have exactly the model one wants.

Why Use Hugging Face

While Ollama has its own curated repository of models you can use, Hugging Face has kind of become the community default. The choice is much larger and opens up possibilities that are not available if you just stick with Ollama’s own repository. For mainstream models, there maybe quantization that are not available in Ollama’s own repo. There are plenty of fine-tunes of more mainstream models that are only on Hugging Face.