The first twenty minutes are always the same#
Something is wrong and you do not yet know what. So you open the runtime logs in one tab, the deploy history in another, the uptime board in a third, and start correlating timestamps by hand. Twenty minutes later you have the shape of it: a release went out at 14:12 and the errors start at 14:13.
That work is real, but none of it is thinking. It is retrieval and correlation, which is exactly what an agent is good at.
Your agent reads what you read#
Rock8Cloud exposes the operational surface over MCP, so a connected agent pulls the same evidence you would:
- Runtime logs from the running service
- Build logs, including the specific build that shipped
- Deployment status and the history behind it
- Uptime checks and response times
That distinction matters. The alternative is an agent reasoning from your description of the problem. Here it reads the primary source, so “why is production slow?” resolves against your actual logs rather than a plausible story about logs.
What comes back is specific#
Not a checklist of things to try. A named suspect: which service, which deploy, the log lines that show it, and what changed in that release. The correlation you would have done by hand arrives already done, with the evidence attached so you can check the reasoning instead of trusting it.
You stay the one who decides#
The agent investigates. You decide. When the cause is clear and the fix is small, hand that same context to a sandbox agent and the change comes back as a pull request, reviewed the normal way. Nothing reaches production because an agent thought it should.
Start free#
Connect your agent to real context. 60 days free, no credit card required.