AI Operations
Part of the Vibe Coding: Multi-Agent Engineering course
Your product is live and real people are using it. That changes the job. Building was about making something new; operating is about keeping the thing you already shipped healthy while people depend on it. In this lesson you add one more focused role to your team, an operations agent, and you learn to lead it through the moment every founder dreads: something in production breaks. You will not write any code.
An operations agent (an ops agent) is the same AI given one focused role: keep the live product healthy after launch. This is different from your developer agent, who builds new things, and your DevOps agent, who set up how the product deploys. The ops agent's whole job is the running product: watching it, responding when it breaks, handling what users report, and doing the quiet upkeep that keeps it steady. ...
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Start this lessonAI OperationsWhat you'll learn
- The operations agent as a focused role that keeps the live product healthy
- Incident response as the calm, ordered way to detect, diagnose, fix, and communicate when something breaks in production
- Monitoring as watching signals so incidents are caught early, building on the monitoring you set up in course 2
- Production support as handling the steady stream of real-world issues and user reports
- Maintenance as the ongoing upkeep that prevents incidents: updates, cleanup, and keeping things healthy
- The blameless postmortem as a write-up after an incident of what happened and how to prevent it
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All lessons in this course
12 lessons- 1Thinking Like an Engineering Leader20 min
- 2Creating Specialized AI Agents20 min
- 3Giving Every Agent a Role20 min
- 4Managing AI Collaboration30 min
- 5AI Code Reviews30 min
- 6AI Project Management20 min
- 7AI DevOps30 min
- 8AI Security Teams30 min
- 9AI Operations30 min
- 10Building Your Own AI Workflow20 min
- 11Scaling AI Teams20 min
- 12Becoming an AI Engineering Leader45 min
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