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 Duration 14 hours

Course Outline

Introduction to Agent-First IDEs

  • The transition from traditional IDEs to agent-first architectures
  • Fundamental concepts underpinning AI-driven development environments
  • Antigravity’s position within the modern engineering toolchain

Installing and Launching Google Antigravity

  • System prerequisites and the installation process
  • Initial setup and workspace configuration
  • An overview of the default interface layout

Exploring the Editor View

  • Primary editing capabilities and navigation features
  • Interacting with agents directly within the editor
  • Managing file modifications and project assets

Working with the Manager View

  • Understanding task orchestration and workflow management
  • Reviewing and authorizing agent actions
  • Monitoring project activity and agent performance

Understanding Agents in Antigravity

  • Different agent types and their specific capabilities
  • How agents interpret intent and carry out tasks
  • Best practices for effective prompting and agent direction

Creating and Automating Simple Tasks

  • Generating starter code and templates
  • Utilizing agents for refactoring and enhancing existing code
  • Implementing validation and review steps via agents

Managing Projects in an Agent-Driven Environment

  • Folder structures and file organization standards
  • Tracking changes and project states with agent assistance
  • Coordinating automation across multiple tasks

Scaling Up: Practical Use Cases for Beginners

  • Developing small utilities with agent support
  • Integrating agents into iterative development cycles
  • Leveraging Antigravity for documentation and code cleanup

Summary and Next Steps

Requirements

  • A solid grasp of fundamental software development workflows
  • Hands-on experience with contemporary IDEs
  • A working knowledge of version control principles

Target Audience

  • Developers interested in AI-assisted coding
  • Software engineers new to agent-first methodologies
  • Technical leads evaluating AI-driven engineering solutions

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