Managing many AI agents is becoming a workflow problem
Using several in real work can quickly become scattered. Agents for , coding, , and other tasks may each live inside separate tools.
That makes it hard to see what each agent is doing, which ones are active, which ones are broken, and how the whole setup is organized. The main issue is not only whether the agents work well, but how people can run and many of them inside one .
Key points
- Multiple can be hard to manage when they are spread across different tools.
- Common uses include , coding, and agents.
- People need to know what each agent is doing at any moment.
- Active and broken agents need to be easy to identify.
- Better organization can help reduce wasted work and .