This animation hits way too close to home! 😂
I’ve experienced this agent explosion firsthand. When you let agents hand off tasks to other agents without tight control, a simple task rapidly snowballs, and in the end, you’re the one left untangling the mess and debugging the hallucinations.
That’s why I stick to a more hands-on approach: I usually work with a single primary AI, double-checking its logic. If we hit a wall or I need a second opinion, I’ll consult another model separately. And instead of dumping every new subtask into one giant context bucket, I track step-by-step solutions manually.
It might sound old-school, but it keeps the 'agent bubble' from bursting and actually gives real control over the codebase!
