# content
@Atatra In the past I've found myself in the situation where literally nobody will help me debug a problem, and then I just ask ChatGPT or something, research the contents of the response it gives me to see if it looks viable, and then I implement the solution into my program. It's good for little things like that, but just for lil' things like that, you wouldn't write an entire codebase with an LLM.

# formerRepresentations.orderedItems[].content
@Atatra In the past I've found myself in the situation where literally nobody will help me debug a problem, and then I just ask ChatGPT or something, research the response it gives me to see if it looks viable, and then I implement the solution into my program. It's good for little things like that, but just for lil' things like that, you wouldn't write an entire codebase with an LLM.

# formerRepresentations.orderedItems[].source.content
@Atatra@computerfairi.es In the past I've found myself in the situation where literally nobody will help me debug a problem, and then I just ask ChatGPT or something, research the response it gives me to see if it looks viable, and then I implement the solution into my program. It's good for little things like that, but just for lil' things like that, you wouldn't write an entire codebase with an LLM.

# source.content
@Atatra@computerfairi.es In the past I've found myself in the situation where literally nobody will help me debug a problem, and then I just ask ChatGPT or something, research the contents of the response it gives me to see if it looks viable, and then I implement the solution into my program. It's good for little things like that, but just for lil' things like that, you wouldn't write an entire codebase with an LLM.