Which AI specifically? Because every LLM I've tried has usually failed miserably at producing code with non-trivial requirements after they were patiently repeated multiple times and came with clear examples.
This tells me that anyone asserting what you said is either 1) not a developer, 2) taking buggy code at face value, or 3) taking 10x the time it would take an average developer to patiently guide the LLM to a working solution.
> Which AI specifically? Because every LLM I've tried has usually [...]
I think pipeline_peak's remark is unwarranted, but we probably should be trying to look ahead a number of decades (depending on how long you have left in your career) rather than only considering what's possible with today's LLMs. Two years ago, before ChatGPT and DALL-E 2, many would've considered what's being done now with generative AI as infeasible.
But even with current LLMs, I've been surprised at GPT-4 Turbo's ability to produce working scripts for problems that, though maybe not the most challenging, weren't entirely trivial. I'd speculate there are a number of useful tasks within the LLM's capacity and just needing a good integration. Maybe Microsoft releases a designer tool that allows creating static company websites, iterating based on client prompts and the model's vision capability, for example.
This tells me that anyone asserting what you said is either 1) not a developer, 2) taking buggy code at face value, or 3) taking 10x the time it would take an average developer to patiently guide the LLM to a working solution.