90% of the time the garbage spat out by AI agents takes longer to turn into respectable code than it'd take to code it by yourself. There's also the prompt black hole where by the time you've written a spec and prompt air tight enough for the bots to produce what you want, the effort is almost equivalent to doing the coding yourself and using the LLM just for boilerplate generation. But the benefit of having done it yourself is that you have developed a better understanding of the issue and have been able to make all the compromises and adjustments as you were working. Unlike with agent code where the whole thing was written purely based on your assumptions you made in the prompt and now you have to discover any issues those assumptions caused and rectify retrospectively. Overall not only is the agent generated code process less flexible, it is not any faster for anything that's not the simplest case, it will obfuscate bad design and assumptions in design, you will be less likely to catch mistakes or unwanted side effects, and you will overall have poorer understanding and intuition about the final solution.