Learning Lab
Watch real-world demonstrations of the orchestration model in action. Each lab shows how to guide AI from concept to working code through collaborative iteration.
Lab 1: AI as Your Development Team
Scenario
We're going to build a simple chat service backed by a node server. We won't finish the whole thing here. This is really just an introduction to the core concepts of treating AI like a development team rather than a fancy autocomplete. Once you get the idea, you can take it as far as you want.
What You'll See
This is a recording from a live Lunch and Learn session. We did run out of time, so the full demonstration doesn't get completed. But the key concepts are all there and still worth learning from. You'll see how to break work into separate conversations, let an orchestrator manage the workflow, and focus your energy on the problem instead of the code.
Key Takeaways
- Treat AI like a pair programmer and talk to it like you would a human colleague
- Distribute work across multiple conversations like you're managing a dev team
- Give AI the big picture scope of what you're trying to solve
- Focus your time on thinking about the problem, not writing the code
- AI is a skill you develop and the more you practice, the more effective you become