Your goal. Your final review.
A multi-AI coding session is not finished when the models stop talking. It is finished when a human can see the source candidate, the independent checks, and decide whether the main branch should move

A multi-AI coding session is not finished when the models stop talking. It is finished when a human can see the source candidate, the independent checks, and decide whether the main branch should move

Different models will disagree on the same brief. That’s useful — but only if they share one project. Too many multi-agent setups still look like five parallel chats. Each model gets a slightly differ

Draft and verify are different jobs. If the same agent writes the patch and grades it, you get confident wrong code — polished, fluent, and wrong in the same places the draft model always misses. What

Different AI minds only help when they share one brief. I keep seeing multi-agent setups that look busy and still fork the project: one agent invents a direction, another "reviews" in the same blind s

A second model is useful when its perspective stays connected to the brief, the tasks, and the result — not when it lives in another tab you never reopen. What I want from a multi-AI coding workspace:

When each model lives in its own thread, you get five opinions and no merge owner. The useful loop is simpler: Put every model on the same goal Let them debate and split the work Keep verification
