When I first started building AI applications, I believed everything depended on choosing the best model and writing the perfect prompt.
But after working on more complex projects, I realized something interesting.
The issue wasn't the model's intelligence, it was expecting a single AI agent to do everything.
Today, we're asking one agent to understand requirements, search for information, write code, review it, debug issues, generate documentation, and sometimes even make architectural decisions. That's a lot of responsibility for one agent.
This is where multi agent AI starts to make sense.
