Course Outline

Introduction to Agent-First IDEs

  • Understanding the shift from traditional IDEs to agent-first design
  • Core concepts behind AI-driven development environments
  • Where Antigravity fits in the modern engineering toolchain

Installing and Launching Google Antigravity

  • System requirements and installation workflow
  • Initial configuration and workspace setup
  • Tour of the default interface layout

Exploring the Editor View

  • Main editing features and navigation
  • Inline agent interactions in the editor
  • Managing file changes and project assets

Working with the Manager View

  • Overview of task orchestration and workflows
  • Reviewing and approving agent actions
  • Monitoring project activity and agent status

Understanding Agents in Antigravity

  • Types of agents and their capabilities
  • How agents interpret intent and execute tasks
  • Best practices for prompting and directing agents

Creating and Automating Simple Tasks

  • Generating starter code and templates
  • Using agents to refactor or enhance existing code
  • Applying validation and review steps through agents

Managing Projects in an Agent-Driven Environment

  • Folder structure and file organization conventions
  • Tracking changes and project states with agents
  • Coordinating automation across multiple tasks

Scaling Up: Practical Use Cases for Beginners

  • Building small utilities with agents
  • Integrating agents into iterative development work
  • Using Antigravity for documentation and code cleanup

Summary and Next Steps

Requirements

  • An understanding of basic software development workflows
  • Experience with any modern IDE
  • Familiarity with version control concepts

Audience

  • Developers curious about AI-assisted development
  • Software engineers new to agent-first coding
  • Technical leads exploring AI-driven engineering tools
 14 Hours

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