Tool or Technology
TT0159

Google Antigravity in Action

Orchestrate AI Agents & Build Software Smarter

Antigravity
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Google Antigravity to plan, execute, review, and manage complex AI-assisted software-development tasks.
  • Use agent-driven workflows for repository understanding, feature development, debugging, testing, research, browser interaction, and implementation verification.
  • Orchestrate multiple specialized agents and subagents while maintaining controlled project context, permissions, tools, and isolated Git workspaces.
  • Build reusable agent capabilities using Custom Agents, Skills, Rules, Workflows, MCP integrations, and execution hooks.
  • Apply human review, artifact-based verification, permissions, security controls, testing, and governance practices to reliable agentic-development workflows.

Technology covered

Google Antigravity 2.0Antigravity CLIAntigravity IDE ExtensionsAI AgentsProjectsTasksArtifactsImplementation PlansTerminal ToolsBrowser ToolsGit WorktreesSubagentsCustom AgentsSkillsMCP ServersRules & WorkflowsHooksScheduled Tasks

Who should attend

  • Software Developers
  • Software Engineers
  • Frontend Developers
  • Backend Developers
  • Full-Stack Developers
  • DevOps & Platform Engineers
  • QA & Test Automation Engineers
  • Application Support Engineers
  • AI Application Developers
  • Technical Leads
  • Solution Architects
  • Engineering & Digital Transformation Teams

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with source-code repositories and application-development concepts
  • Basic knowledge of Git and version-control workflows
  • Familiarity with command-line or terminal usage is recommended
  • Basic understanding of debugging and software-testing practices
  • Familiarity with Generative AI and prompting is beneficial
  • Basic understanding of APIs and developer tools is helpful for MCP activities
  • Appropriate Google Antigravity access and an approved development repository should be available for hands-on exercises
  • No completion of shorter Antigravity programmes is required

TOC Modules

Concepts
  • Understanding Google Antigravity as an agent-first development and knowledge-work platform
  • Understanding Antigravity 2.0, CLI, IDE, and IDE Extension surfaces
  • Understanding AI agents, tools, tasks, artifacts, knowledge, and reasoning
  • Understanding synchronous versus asynchronous agent execution
  • Differentiating conversational coding from autonomous agent-driven execution
Practical activities
  • Navigating the Antigravity 2.0 environment
  • Starting an Agent conversation for a development requirement
  • Asking an Agent to inspect and explain an existing project
  • Comparing manual, conversational, and agent-driven development approaches

Scenarios

Product Requirement to Verified Software Feature

Product Requirement → Project Context → Implementation Plan → Main Agent → Development Subagent → Test Subagent → Git Worktrees → Browser Verification → Code Diff → Human Review → Integration

Participants use Antigravity to turn a realistic product requirement into a tested feature while coordinating planning, parallel development, automated verification, and human approval.

Production Defect to Multi-Agent Resolution

Production Issue → Logs & Repository Analysis → Root-Cause Agent → Implementation Agent → Test Agent → Terminal Validation → Browser Verification → Artifact Review → Approved Resolution

Participants coordinate multiple specialized Agents to investigate a software issue, identify its root cause, implement a controlled correction, verify the fix, and prepare the change for safe integration.

Continue with programmes from the same capability area.

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Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.