If so, I’d like to know about that questions:
- Do you use an code autocomplete AI or type in a chat?
- Do you consider environment damage that use of AIs can cause?
- What type of AI do you use?
- Usually, what do you ask AIs to do?
If so, I’d like to know about that questions:
I am still relatively inexperienced and only embedded. (Electronics by trade) I am working on an embedded project with Zephyr now.
If I run into a problem I kind of do this method (e.g. trying to figure out when to use mutexes vs semaphores vs library header file booleans for checking ):
first look in the zephyr docs at mutexes and see if that clears it up
second search ecosia/ddg for things like “Zephyr when to use global boolean vs mutex in thread syncing”
if none of those work, I will ask AI, and then it often gives enough context that I can see if it is logical or not (in this case, it was better to use a semi-global boolean to check if a specific thread had seen the next message in the queue, and protect the boolean with a mutex to know if that thread was currently busy processing the data), but then it also gave options like using a gate check instead of a mutex, which is dumb because it doesn’t exist in zephyr.
For new topics if I can’t find a video or application note that doesn’t assume too much knowledge or use jargon I am not yet familiar with, I will use AI to become familiar with the basic concept in the terms so that I can then go on to other, better resources.
In engineering and programming, jargon is constant and makes topic introduction quite difficult if they don’t explain it in the beginning.
I never use it for code with the exception of codebases that are ingested but with no documentation on all of the keys available, or like in zephyr where macro magic is very difficult to navigate to what it actually does and isn’t often documented at all.