I have tried all the different models, different harnesses, different prompts. It’s not this. The people who say this would probably say the same thing about slot machines, you see, you have to bet 5 lines after you get a cherry no wonder you aren’t winning!
What i meant was: your experience might not be representative of the coding models capabilities. At least based on the poor examples in the post, you’re just scratching the surface of learning how to extract value from them, and, as i understand, you gave up and shared your experience. Given that you fully understand how an LLM works(and you do) it might also be that you’re using it outside training data. Not all code is equally represented(quality/quantity) in the training data, like there’s not the same amount of latin text as opposed to english text there(it’s all gravy to an LLM). You also suggested that manual might be faster and better quality - in MY experience, this is just you (using search through prompts), using it wrong.
