Code is simply there to achieve logic set out in the parameters of your issue required to have optimum results. https://en.wikipedia.org/wiki/Axiomatic_design h

Code is simply there to achieve logic set out in the parameters of your issue required to have optimum results. https://en.wikipedia.org/wiki/Axiomatic_design https://en.wikipedia.org/wiki/Axiomatic_design A perfect prompt to an AI will either result in your bias (understanding/fallical argument) being an issue or a flaw in the training data of the company. I was given lies to children arguments for letting me have an understanding of what would be simpler to get more technically proficient at the thing I requested. It was regarding error handling in early September 2023. I couldn't solve in time for the fixed no consequence deadline the next day, so I turned to a tool that provided a solution outside the realm of my understanding. Which worked. Kind of got the logic but too scared to ask because of consequences of how this went against the rules of my learning. I was just utilising a tool to finish the project. Not using agile teaching, far more waterfall in my opinion. ChatGPT 4 is not that good for SQL prompts but I have a limited technical knowledge base regarding it. How do we use agile and prompts to develop output on AI tools? As code is not the end result in terms of a business setting, it's just a tool in a tool. https://en.wikipedia.org/wiki/Computational_thinking https://en.wikipedia.org/wiki/Computational_thinking