[dangus]

A cynical read of this is that it’s all a ploy to maximize usage.

Why do agents need to speak to each other if they’re just doing the work correctly the first time?

Is it an admission that a single agent is not useful and reliable enough?

[WXLCKNO]

I run a loop where I have 4 agents review in parallel after each implementation phase. It just increases the odds of finding issues.

I've switched this over to a team of 4 now that talk to each other to discuss issues they find and it's amazing. They confirm between themselves and if they wrongly identified something the others correct them.

[dangus]

So, the answer is yes, a single agent makes too many mistakes and you have to run four of them (4x usage cost) to improve the quality.

I understand that it works better, but I am rightfully pointing out that it's less efficient.

An analogy would be putting a V8 engine into a pickup truck to make it go as fast as a Mazda Miata.