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edX

Getting Started with Google Antigravity

Pragmatic AI Labs via edX

Overview

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Google Antigravity is not one product with one window. It is a single agent reachable four different ways - a standalone app, a command line, an IDE, and an SDK - and the thing that matters is what stays the same across all four. This course takes you through each surface with a working example, so you finish knowing which one to reach for and why.

Key Course Features:

  • Every surface demonstrated on real work, not slideware
  • Subagents, quorum fan-out, and worktree isolation shown running
  • Scheduled tasks and audit trails, so automation stays inspectable
  • Skills: teaching the agent a method rather than an answer
  • Short, dense lessons - 45 minutes end to end

Perfect for:

  • Software developers adopting agentic tooling
  • Engineers evaluating Antigravity against other agents
  • Technical leads deciding how a team should use one
  • Anyone who has to justify an agent's output to someone else

The through-line is verification. An agent that produces an answer you cannot check is a liability, not a tool, and every lesson here ends with how you would know if it were wrong.

Syllabus

  • Choose the right Antigravity surface - app, CLI, IDE or SDK - for a given task
  • Give an agent durable context with projects and rules
  • Spawn browser subagents and fan a question out to a quorum
  • Query a large codebase by adjacency rather than retrieval
  • Run agents in isolated worktrees and resolve a staging-area conflict
  • Package a repeatable method as a skill
  • Schedule agent work and read the audit trail it leaves
  • Verify agent output rather than accepting it

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