Role-Based Programme
RB0872

Google Antigravity for Quality Management

Build, Test, Validate & Govern AI-Assisted Software Quality

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

Programme Objectives

  • Develop functional proficiency in using Antigravity agents for software testing, quality analysis, defect investigation, and validation.
  • Build reusable agent-assisted workflows for requirements review, test design, browser testing, regression validation, and defect resolution.
  • Apply Dynamic Subagents to parallelise test analysis, risk assessment, defect investigation, and validation activities.
  • Use Artifacts, browser evidence, hooks, and connected tools to improve quality traceability and control.
  • Develop governed quality workflows covering Requirement → Test → Defect → Fix → Validation → Release.

Tools covered

Google Antigravity 2.0AI AgentsDynamic SubagentsProjectsArtifactsBrowser AgentChrome DevTools MCPSkillsJSON HooksScheduled TasksMCP Integrations

Who should attend

  • Quality Managers
  • QA Engineers
  • Software Test Engineers
  • Quality Analysts
  • SDET Professionals
  • Test Automation Engineers
  • Software Quality Engineers
  • Application Quality Professionals
  • Release & Validation Professionals
  • Quality Engineering Leads
  • DevOps Quality Professionals
  • QA Managers

Prerequisites & Participant Readiness

  • Basic understanding of software testing and quality assurance
  • Familiarity with requirements, test cases, defects, and acceptance criteria
  • Basic awareness of software-development lifecycles
  • Basic technical or scripting knowledge is helpful
  • Familiarity with browser-based applications and Git workflows is beneficial
  • No previous Antigravity experience required

TOC Modules

Concepts
  • Understanding Antigravity 2.0 as an agent-oriented platform for complex knowledge and software tasks
  • Understanding Agents, Projects, Artifacts, tools, and approval workflows
  • Mapping Requirement → Build → Test → Review → Release quality activities
  • Understanding AI-assisted testing versus professional QA accountability
Practical activities
  • Creating a quality-focused Antigravity Project
  • Assigning an Agent a sample application-quality task
  • Reviewing generated plans, actions, and Artifacts

Scenarios

Feature Requirement to Release Quality Gate

Feature Requirement → Antigravity Analysis → Test Design → Dynamic Subagents → Browser Validation → Defects → Fix Verification → Regression → Release Recommendation

Participants use Antigravity to perform an end-to-end quality review of a new application feature, combining parallel Agent analysis, browser evidence, defect validation, and structured human approval.

Recurring Application Quality Monitoring

Application → Scheduled Agent → Browser Checks → Automated Hooks → Failure Detection → Evidence Artifact → QA Review → Defect / Remediation

Participants design a repeatable quality-monitoring workflow that performs scheduled application checks, captures evidence, identifies failures, and routes validated findings into the quality-management process.

## Current Capability Reference

Antigravity 2.0 currently supports **Dynamic Subagents, Projects, Scheduled Tasks, Artifacts, Skills, MCP integrations, JSON Hooks, and browser interaction**, including Chrome DevTools MCP integration and browser recordings. ([Google Antigravity][1])

Artifacts can include **implementation plans, code diffs, architecture diagrams, images, and browser recordings**, with human feedback and approval available at intermediate milestones. ([Google Antigravity][2])

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