Tool or Technology
TT0157

Google Antigravity Unlocked

Build, Debug & Orchestrate with AI Agents

Antigravity
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand Google Antigravity as an agent-first development platform for AI-assisted software engineering.
  • Explore how coding agents can understand codebases, plan tasks, modify code, execute tools, test solutions, and report results.
  • Develop awareness of effective task instructions and context-setting techniques for agentic development.
  • Experience practical workflows for code understanding, feature development, debugging, and validation using AI agents.
  • Recognise responsible practices related to permissions, generated code, security, testing, and developer oversight.

Technology covered

Google Antigravity 2.0Antigravity IDEAgent ManagerGemini ModelsAI Coding AgentsCodebase ContextAgent ArtifactsTerminal & Browser Tools

Who should attend

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

Prerequisites & Participant Readiness

  • Basic programming knowledge in at least one programming language
  • Familiarity with source code, files, functions, and software-development concepts
  • Basic experience using an IDE or code editor
  • Familiarity with Git and command-line concepts is helpful
  • No previous Google Antigravity experience required

TOC Modules

Concepts
  • Understanding Generative AI and coding agents in software development
  • Understanding Google Antigravity as an agent-first development platform
  • Exploring Antigravity 2.0, Antigravity IDE, and Agent Manager
  • Understanding the difference between AI coding assistance and autonomous task execution
  • Identifying suitable use cases across coding, debugging, testing, and application development
Practical activities
  • Exploring the Antigravity workspace using a sample software project
  • Assigning a simple development question to an agent and reviewing its response

Scenarios

Feature Requirement to Tested Implementation

Development Requirement → Agent Context → Implementation Plan → AI Agent Execution → Code Changes → Automated Testing → Developer Review

Participants use Google Antigravity to understand an existing application, plan and implement a small feature, verify the resulting code, and review the final solution before acceptance, improving development productivity.

Software Issue to Validated Resolution

Bug Report → Codebase & Runtime Context → Agent Investigation → Root-Cause Analysis → Suggested Fix → Testing → Developer Validation

Participants use an Antigravity agent to investigate a software defect, identify the likely cause, implement a targeted correction, and validate the result through testing and human review.

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