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Last night I let a gpt4 assistant I set up as 'Espruini Guide' start writing a work logger app I first thought up on the App Ideas conversation (I probably could have done a better job in this setup phase, adding more documentation or something).
The first bump in the road was it tried using a 'append' storage method that espruino doesn't have. I just gave it the error from the console and it then switched to a write call which worked. It created the file with the first line, but then it could not be appended to. I told it this but it struggled to figure a correct solution. Then I asked something like 'but isn't there another way to write to storage as described in the hardware reference?', and with that it figured out it should be using the 'open' method. With that I had a working proof of concept!
I've since let it implement a menu with options to add annotations to a work session, as well as creating and switching between different tasks (each writing to separate files). It struggled with clearing and setting up input handlers when moving between parts of the ui, so I fixed that myself, mostly without prompting 'Espruino Guide'. It needed some help with adhering to system theme as well.
Pretty neat, but not entirely trivial.
Edit: Added the code, screenshots and a log with entries and annotations.
Edit2: Now saving my progress here: https://github.com/thyttan/BangleApps/blob/worklog/apps/worklog/app.js
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Ganblejs
I'm not familiar with Open Interpreter, looks cool, but from what I can see in the video it is more about controlling the machine with commands that are "interpreted" by LLM, while we do not have this capacity on the watch. We need to write very small code, then store and make launchable & usable.
It would be interesting to look inside, they seem to have some neat ideas and a lot of experience with feeding just enough context for it to work even on open source models.
Btw, ChatGPT seems to know Bangle.js already and can write code without pre-feeding context.