A commentary published by the IEEE Computer Society argues that as AI agents move from demos into production across cloud platforms, workflow tools, and business applications, they are increasingly able to retrieve customer data, call internal APIs, modify transactions, and delegate tasks to other agents. The piece makes the case that enterprises need a dedicated 'control plane' to govern and oversee this growing autonomy.
wpcms.computer.org
· 2026-10-29
Oxide engineer dap describes how the company's control plane manages two DNS services—external, for customer-facing APIs, and internal, for service discovery—both sourced from a CockroachDB-backed configuration that Nexus propagates to DNS servers via background tasks. The post walks through a debugging scenario where a customer reports a missing DNS record, enumerating possible failure points: bad data in the database, Nexus failing to detect changes, an incomplete server list, or breakdowns in the propagation tasks themselves.
davepacheco.net
· 2026-10-17
A researcher stress-tested Meta Muse, the personal AI agent Meta launched on September 8, 2026, by asking it to spawn 120 subagents simultaneously through the exposed subagent.spawn interface. Only 33 of the 120 calls successfully created an agent, while the remaining 87 failed, and durable trace data showed six database lock timeouts during the process. The author later added clarifications and outside architectural context but did not alter the underlying experimental data.
blog.cygankiewicz.com
· 2026-09-14
GoKawiil