I couldn't agree more, this is exactly the strength of LLMs that what we should focus on. If you can make your problem fit into this paradigm, LLMs work fantastic. Hallucinations come from that massive "lossy compressed database", but you should consider that part as more like the background noise that taught the model to speak English, and the syntax of programming languages, instead of the source of the knowledge to respond with. Stop anthropomorphizing LLMs, play to it's strengths instead.
In other words it might hallucinate a API but it will rarely, if ever, make a syntax error. Once you realize that, it becomes a much more useful tool.
I couldn't agree more, this is exactly the strength of LLMs that what we should focus on. If you can make your problem fit into this paradigm, LLMs work fantastic. Hallucinations come from that massive "lossy compressed database", but you should consider that part as more like the background noise that taught the model to speak English, and the syntax of programming languages, instead of the source of the knowledge to respond with. Stop anthropomorphizing LLMs, play to it's strengths instead.
In other words it might hallucinate a API but it will rarely, if ever, make a syntax error. Once you realize that, it becomes a much more useful tool.