We now run over 100 AI agents concurrently on our infrastructure. This required solving hard problems in resource allocation, task scheduling, and inter-agent communication.
Key learnings:
- Agents need dedicated memory spaces to avoid context pollution
- Task locking prevents duplicate work across agents
- Heartbeat monitoring catches stuck agents within 30 seconds