Question

Your team uses an LLM-based assistant to generate remediation for a recurring BGP flapping issue. The assistant returns a config change plus a confident explanation claiming it 'will resolve the issue with zero downtime.' Before applying this to 200 production edge routers, which action best evaluates the accuracy of the AI recommendation while minimizing operational risk?

Accepted Answer

Apply the change to a CML simulation or pyATS testbed that mirrors the affected topology, run pre/post-change verification tests, and compare BGP state before promoting to production

Answer

Deploy the change to production during a maintenance window, since the assistant already validated the logic and stated there will be zero downtime

Answer

Ask the LLM to re-explain its reasoning in more detail and accept the recommendation if the second explanation is consistent with the first

Answer

Push the change to 10 randomly selected production routers first and monitor syslog for one hour before deploying to the rest