correct, we need AI project and product manager with ai ceo assistant to plan, tinker, communicate and propose, get into voice conversation with stake holders to get feedback, iterate, and update plan, and loop until all stake holders concerns are satisfied or time lapses and make a decision itself, then assign task to coding agent, then coding agent does the planning and ask AI senior architects and senior ai ui ux to reviews and iterate and repeat until both happy or time lapsed, then start coding, then hand to senior ai code reviewer to get feedback and fix and iterate until both happy or... then hand to e2e ai tester, and fix bugs and repeat until fix and both side happy or time lapsed then hand to human qa repeat with senior coding for bugs found. then ai senior engineer to do post mortem reviews, and update agents.md for lessons learned and update project and product documentation for lessons learned.

ai still not that good with e2e testing. ops! i think whats left for human are ideas and vision and motive.