[locknitpicker]

> Clone simonw/micropython-wasm from GitHub and research how this could use a full Python as opposed to MicroPython

I might be missing something important but that doesn't seem to be an impressive task.

On a surface level it sounds like the taks requires gathering calls to MicroPython-specific libs, assess which ones are not compatible with Python, and proceed to determine how to replace the ones that are incompatible.

From that first iteration, the rest would boil down to troubleshooting the issues missed on the first shot.

I would be extremely surprised if the likes of GPT4.1 wasn't already capable of handling that task.

So, beyond Claude Fable finishing a task, what exactly is the differentiating factor?

[simonw]

Did you read the transcript? There are a whole lot of details to figure out: https://claude.ai/share/a73b8b8b-8ebc-4fef-9e5c-7438e5e7ae35