I’m pretty much in the same boat as you, but here’s one place that LLMs helped me:
In python I was scanning 1000’s of files each for thousands of keywords. A naive implementation took around 10 seconds, obviously the largest share of execution time after running instrumentation. A quick ChatGPT led me to Aho-Corasick and String searching algorithms, which I had never used before. Plug in a library and bam, 30x speed up for that part of the code.
I could have asked my knowledgeable friends and coworkers, but not at 11PM on a Saturday.
I could have searched the web and probably found it out.
But the LLM basically auto completed the web, which I appreciate.
In python I was scanning 1000’s of files each for thousands of keywords. A naive implementation took around 10 seconds, obviously the largest share of execution time after running instrumentation. A quick ChatGPT led me to Aho-Corasick and String searching algorithms, which I had never used before. Plug in a library and bam, 30x speed up for that part of the code.
I could have asked my knowledgeable friends and coworkers, but not at 11PM on a Saturday.
I could have searched the web and probably found it out.
But the LLM basically auto completed the web, which I appreciate.