It begins as “let’s give the agents a kanban board to track stuff”. Then, why not have one agent do the tracking while another does the development? Then why not have a fleet of them - specialists doing their thing? Then why not have them communicate in a standard way? Then, oh now we have so much docs/messages that we are getting lost. Why not add memory and semantic search for the project?
The rabbit hole keeps going until you run the project and find silly stupid logical issues and wonder “is this what I burnt all those tokens for?! Why is it so over-engineered?!”
I have one agent now that I use to fill in at specific places in functions/modules that I have created and working on.
Slow down and use AI to just do the tightly scoped mundane work. It is nice and effective. We all don’t need to save the world.
I tried this approach and the agents just built tons of tests. The Agent in Charge ordered more and more tests. After two weeks it reported finished” and the end product was completely unusable.
I really hope future models will do a better job at this. As it works be useful (if it worked).