One signal

As AI agents work together for longer and in larger numbers, the engineering challenge may shift from building each agent to keeping the whole system manageable. Software engineer Katelyn Lesse argues that systems involving thousands of persistent agents will need infrastructure built for bursty, stateful workloads.

Her list also includes stronger authentication and permissions, isolation for potentially compromised code, and reliable ways to monitor or stop agents. Those are practical concerns: a system that can keep acting needs more than a clever model and a hopeful shrug. It is an engineering argument, not evidence that companies are already running thousands of agents this way. But it points to the less glamorous work that could shape whether multiagent systems are safe and dependable enough to use.

Discuss: Which deserves priority as agents scale: better monitoring and stop controls, or the infrastructure that keeps them running?

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