An enterprise software company worked in the period to reduce the distance between developing an agent locally and putting it into production in the cloud.
The problem has a familiar shape for any team that has tried. The experiment runs on the author's computer, with personal credentials, hand-installed dependencies and configuration that exists only there. Taking it to production means redoing everything with control, scale and monitoring.
With agents, the distance is larger than with ordinary software, because agents have to reach systems to act. What is personal access on a laptop has to become its own identity in production, with scope, expiry and logging.
That's exactly the gap the semester's incidents exposed, with agents inheriting the permissions of whoever configured them and reaching data nobody approved.
The practical recommendation that survives is the same for any tool of this kind: easing the path to production is good as long as the agent's identity and scope are defined at the crossing, rather than after the first incident.