Think of agents as sheep dogs. You’re not putting sheep in a pen one by one any more. sometimes the best path to getting the sheep in en masse is a long arc round the field where the agent develops the mass as it goes. Sometimes it’s a structured play with more work up front. This somewhat depends on you.
My background, why you’re here, what you can expect
course structure (multi session, not completely interdependent, simple pricing)
background and rationalle
chatbots and the agent / agentic boundary are confusing
you probably already use them (deep research)
compare gemini pro deep research with roo (first view of it)
why this complex way
talking about memory
consistency, flexibility, scale
data safety and privacy
longer run times, more thinking, as much as you need
price / performance
power use and the start of vibe coding
phased approach
Phase one (today)
introduction to vscode
introduction to roo code
context management and context engineering
demonstrate agents, see where we’re going (visionflow)
show setup of the system (link to online homework)
show how to find all this guidance
gemini (free) (more like agents)
claude code (paid) (more like agentic)
case studies using agentic claude
-Project management (120 kids doing their own thing)