LEARN AGENTIC SOFTWARE DEVELOPMENT
Build with AI agents.
Know how to guide them.
Explore interactive lessons and real-world case studies. Learn how agents work, where they need oversight, and how to verify what they deliver.
For developers & engineering leadersFree · No account needed
INTERACTIVE LAB 01 · SUBAGENTSOne Prompt,
One Prompt,
A Tree of Agents
Follow a pull-request review from the first brief to the final recommendation. Inspect each agent’s context, configure a specialist, and experiment with parallel work.
THE REQUEST“Review this pull request.”
PARENT AGENTBrief. Coordinate. Verify.
01 / SPECIALISTSecurityOwn context
Focused evidence
Focused evidence
02 / SPECIALISTTestsOwn context
Focused evidence
Focused evidence
03 / SPECIALISTDocumentationOwn context
Focused evidence
Focused evidence
Three reports. One considered recommendation.
Parent contextSubagent context
INTERACTIVE LAB 02 · GIT
Git, in motion.
Stop memorizing commands. Follow one small website from your first local snapshot to sharing work with your team.
EDIT → SELECT → SAVE → SHARE
Working files
git add ↓Staging areagit commit ↓Local historygit push ↓RemoteFour places. Three deliberate handoffs.
INTERACTIVE LAB 03 · MANAGED AGENTS
Your AI coworker, at work.
Build a shared coworker through six hands-on chapters. Separate user sessions, follow events, control external actions and turn feedback into reusable skills.
ONE COWORKER · SEPARATE SESSIONSTeam request↓
AgentEnvironment
↓Maya’s sessionLeo’s session
↓Review, then act