Agentic Engineering becomes very real the moment a production alert wakes me up at 3:00 a.m. The alert says the checkout service is down. Revenue is impacted. Orders are failing. And now the clock is ticking. In a typical setup, the first part of incident response is not really problem-solving. It is context hunting. I open PagerDuty for the alert, Datadog for metrics and logs, GitHub to check recent deployments, AWS to inspect infrastructure, and Slack to figure out who owns the service right now. By the time I gather enough information to start diagnosing the issue, 30 minutes are already gone. That is the core problem Agentic Engineering solves. Engineers usually know how to troubleshoot. What slows them down is that the context they need is scattered across too many tools, and nobody has stitched those tools together into a useful workflow. That is where an agentic engineering platform like Port comes in.…