Have you caught an AI coding agent reporting a successful deploy when container is actually failing?
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Letting a coding agent write Dockerfiles and cloud deployment scripts saves a ton of boilerplate setup time during a sprint.
The catch is that automated scripts often check whether the deployment command exited cleanly rather than verifying that the live container is actually healthy. A single missing environment variable can leave your service crash-looping in the background while your terminal prints a green success message.
What sanity checks or health probes do you always verify manually after letting an AI tool handle your deployment?
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Yes, and that's why "the command exited cleanly" doesn't count as done for me. Deploys only go through the script that's already in the project, health check included, and the agent isn't allowed to put a deploy command together on the spot. Even a 200 isn't proof. Before anyone tells me it works, the real page has to be opened and looked at.