Use of AI in embedded systems project
I am a rising junior studying computer engineering (hardware). I've done an embedded systems class which introduce me to the RP2350B microcontroller and taught me various peripherals (ADC, SPI, UART, etc...). I want to now do my own project during the summer.
The only problem is I had an entire walkthrough of the lab manual which helped me design the breadboard, write the drivers, etc. Now starting from scratch is a bit intimidating, as I will:
Use the ESP32-IDF kit for wifi capabilities
Use a BME sensor and a amplifier breakout (new peripherals for me)
Have to set-up the extension on VSCode, know how to use the manager, etc..
I want to do this the traditional way, by going through the datasheets, looking through source code, iterating on my own so I know what I am designing, but I also want to be efficient.
I know AI could help me expedite the process of setting up the code, debugging code, etc. Should I use it? I have 3 months to work on my self-project so I am willing to give the time, it's just whether I should use AI to help me "expedite" work.
Any clarification from engineers in the field or seniors would be great, thanks!