Working with Multiple AI Agents
Part of the Vibe Coding: Prototype to Production course
So far you have added real accounts, a data layer, security, and tests to the project you built in the fundamentals course, all by prompting one AI to do everything. That works, but it asks a lot of a single prompt: plan, decide, build, test, and secure, all at once. This lesson has no code.
An AI agent, the way we mean it here, is just the AI given one clear role and one job to focus on. It is not a different or smarter AI, and you do not need a special tool to have one. When you tell the AI "for this task, act only as a tester and look for bugs," you have turned it into a QA agent for that conversation. Start a fresh chat and say "act as a security reviewer," and the same AI is now a security agent. ...
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Start this lessonWorking with Multiple AI AgentsWhat you'll learn
- An AI agent is the same AI given one focused role, not a different tool
- Splitting production work across focused roles instead of one prompt
- The seven roles: planning, architect, developer, QA, security, DevOps, documentation
- What to ask each role and what good output looks like
- The founder directs all the roles and makes the decisions
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All lessons in this course
12 lessons- 1Preparing Your Product20 min
- 2Building a Strong Foundation30 min
- 3Managing Users and Authentication30 min
- 4Working with Data30 min
- 5Keeping Your Product Secure30 min
- 6Testing Before Release30 min
- 7Working with Multiple AI Agents20 min
- 8Deploying to Production30 min
- 9Monitoring Your Product25 min
- 10Scaling Your Product20 min
- 11Maintaining and Improving Your Product20 min
- 12Running a Real Product45 min
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