Building Your Own AI Workflow
Part of the Vibe Coding: Multi-Agent Engineering course
Across this course you have met every role a modern engineering team needs: a product manager to decide what to build, an architect to decide how the pieces fit, a developer to build them, a reviewer to check the work, a security specialist to look for weaknesses, and DevOps and ops agents to ship and run it. So far you have called on each one when a lesson asked you to.
A workflow is the fixed sequence of steps a feature travels through, from idea to shipped, with the same roles in the same order each time. Until now you have assembled that sequence fresh for each lesson. Designing a workflow means deciding it once, on purpose, so you never have to reinvent it under pressure. ...
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Start this lessonBuilding Your Own AI WorkflowWhat you'll learn
- An AI software factory is a repeatable path an idea travels from head to shipped
- Workflow design is fixing the sequence of agent roles every feature passes through, in the same order each time
- Automation is handing repeated steps to agents or scripts so the leader stops doing them by hand
- Documentation is writing the workflow itself down so it is repeatable and shareable, not held in memory
- Productivity is how fast good work flows through the line, improved by removing friction rather than by cutting reviews
- An end-to-end example: idea, PM, architect, build, review, security, deploy
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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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